{"id":14957,"date":"2020-11-18T02:09:18","date_gmt":"2020-11-18T02:09:18","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=14957"},"modified":"2020-11-18T02:09:27","modified_gmt":"2020-11-18T02:09:27","slug":"updated-microsoft-dp-100-practice-exam-dumps-for-azure-data-scientist-associate-certification-exam","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/updated-microsoft-dp-100-practice-exam-dumps-for-azure-data-scientist-associate-certification-exam.html","title":{"rendered":"Updated Microsoft DP-100 Practice Exam Dumps For Azure Data Scientist Associate Certification Exam"},"content":{"rendered":"\n<p>Designing and Implementing a Data Science Solution on Azure DP-100 exam is a good Microsoft certification exam. The Azure Data Scientist applies their knowledge of data science and machine learning to implement and run machine learning workloads on Azure; in particular, using Azure Machine Learning Service. Updated Microsoft DP-100 exam dumps from DumpsBase are great, which help you test your skills in Microsoft Azure Data Scientist skills and knowledge points. DumpsBase ensures that you can pass Microsoft DP-100 exam successfully.<\/p>\n<h2>Check Microsoft Azure Data Scientist Associate Exam <span style=\"color: #800000;\">DP-100 Free Dumps<\/span> Online<\/h2>\n<script>\n\t  window.fbAsyncInit = function() {\n\t    FB.init({\n\t      appId            : '622169541470367',\n\t      autoLogAppEvents : true,\n\t      xfbml            : true,\n\t      version          : 'v3.1'\n\t    });\n\t  };\n\t\n\t  (function(d, s, id){\n\t     var js, fjs = d.getElementsByTagName(s)[0];\n\t     if (d.getElementById(id)) {return;}\n\t     js = d.createElement(s); js.id = id;\n\t     js.src = \"https:\/\/connect.facebook.net\/en_US\/sdk.js\";\n\t     fjs.parentNode.insertBefore(js, fjs);\n\t   }(document, 'script', 'facebook-jssdk'));\n\t<\/script><script type=\"text\/javascript\" >\ndocument.addEventListener(\"DOMContentLoaded\", function(event) { \nif(!window.jQuery) alert(\"The important jQuery library is not properly loaded in your site. Your WordPress theme is probably missing the essential wp_head() call. You can switch to another theme and you will see that the plugin works fine and this notice disappears. If you are still not sure what to do you can contact us for help.\");\n});\n<\/script>  \n  \n<div  id=\"watupro_quiz\" class=\"quiz-area single-page-quiz\">\n<p id=\"submittingExam4711\" style=\"display:none;text-align:center;\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/plugins\/watupro\/img\/loading.gif\" width=\"16\" height=\"16\"><\/p>\n\n<div class=\"watupro-exam-description\" id=\"description-quiz-4711\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-4711\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-150352'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>Question Set 1 <br \/>\r<br><br \/>\r<br>You are developing a hands-on workshop to introduce Docker for Windows to attendees. <br \/>\r<br>You need to ensure that workshop attendees can install Docker on their devices. <br \/>\r<br>Which two prerequisite components should attendees install on the devices? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.<\/div><input type='hidden' name='question_id[]' id='qID_1' value='150352' \/><input type='hidden' id='answerType150352' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150352[]' id='answer-id-611545' class='answer   answerof-150352 ' value='611545'   \/><label for='answer-id-611545' id='answer-label-611545' class=' answer'><span>Microsoft Hardware-Assisted Virtualization Detection Tool<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150352[]' id='answer-id-611546' class='answer   answerof-150352 ' value='611546'   \/><label for='answer-id-611546' id='answer-label-611546' class=' answer'><span>Kitematic<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150352[]' id='answer-id-611547' class='answer   answerof-150352 ' value='611547'   \/><label for='answer-id-611547' id='answer-label-611547' class=' answer'><span>BIOS-enabled virtualization<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150352[]' id='answer-id-611548' class='answer   answerof-150352 ' value='611548'   \/><label for='answer-id-611548' id='answer-label-611548' class=' answer'><span>VirtualBox<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150352[]' id='answer-id-611549' class='answer   answerof-150352 ' value='611549'   \/><label for='answer-id-611549' id='answer-label-611549' class=' answer'><span>Windows 10 64-bit Professional<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-2' style=';'><div id='questionWrap-2'  class='   watupro-question-id-150353'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>Your team is building a data engineering and data science development environment. <br \/>\r<br>The environment must support the following requirements: <br \/>\r<br>- support Python and Scala <br \/>\r<br>- compose data storage, movement, and processing services into automated data pipelines <br \/>\r<br>- the same tool should be used for the orchestration of both data engineering and data science <br \/>\r<br>- support workload isolation and interactive workloads <br \/>\r<br>- enable scaling across a cluster of machines <br \/>\r<br>You need to create the environment. <br \/>\r<br>What should you do?<\/div><input type='hidden' name='question_id[]' id='qID_2' value='150353' \/><input type='hidden' id='answerType150353' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150353[]' id='answer-id-611550' class='answer   answerof-150353 ' value='611550'   \/><label for='answer-id-611550' id='answer-label-611550' class=' answer'><span>Build the environment in Apache Hive for HDInsight and use Azure Data Factory for orchestration.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150353[]' id='answer-id-611551' class='answer   answerof-150353 ' value='611551'   \/><label for='answer-id-611551' id='answer-label-611551' class=' answer'><span>Build the environment in Azure Databricks and use Azure Data Factory for orchestration.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150353[]' id='answer-id-611552' class='answer   answerof-150353 ' value='611552'   \/><label for='answer-id-611552' id='answer-label-611552' class=' answer'><span>Build the environment in Apache Spark for HDInsight and use Azure Container Instances for orchestration.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150353[]' id='answer-id-611553' class='answer   answerof-150353 ' value='611553'   \/><label for='answer-id-611553' id='answer-label-611553' class=' answer'><span>Build the environment in Azure Databricks and use Azure Container Instances for orchestration.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-3' style=';'><div id='questionWrap-3'  class='   watupro-question-id-150354'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>DRAG DROP <br \/>\r<br>You are building an intelligent solution using machine learning models. <br \/>\r<br>The environment must support the following requirements: <br \/>\r<br>- Data scientists must build notebooks in a cloud environment <br \/>\r<br>- Data scientists must use automatic feature engineering and model building in machine learning pipelines. <br \/>\r<br>- Notebooks must be deployed to retrain using Spark instances with dynamic worker allocation. <br \/>\r<br>- Notebooks must be exportable to be version controlled locally. <br \/>\r<br>You need to create the environment. <br \/>\r<br>Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. <br \/>\r<br><br><img decoding=\"async\" width=649 height=370 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image005-2.jpg\" v:shapes=\"_x0000_i1026\"><br><\/div><input type='hidden' name='question_id[]' id='qID_3' value='150354' \/><input type='hidden' id='answerType150354' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150354[]' id='textarea_q_150354' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-4' style=';'><div id='questionWrap-4'  class='   watupro-question-id-150355'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size. <br \/>\r<br>You have the following requirements: <br \/>\r<br>- Models must be built using Caffe2 or Chainer frameworks. <br \/>\r<br>- Data scientists must be able to use a data science environment to build the machine learning pipelines and train models on their personal devices in both connected and disconnected network environments. Personal devices must support updating machine learning pipelines when connected to a network. <br \/>\r<br>You need to select a data science environment. <br \/>\r<br>Which environment should you use?<\/div><input type='hidden' name='question_id[]' id='qID_4' value='150355' \/><input type='hidden' id='answerType150355' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150355[]' id='answer-id-611555' class='answer   answerof-150355 ' value='611555'   \/><label for='answer-id-611555' id='answer-label-611555' class=' answer'><span>Azure Machine Learning Service<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150355[]' id='answer-id-611556' class='answer   answerof-150355 ' value='611556'   \/><label for='answer-id-611556' id='answer-label-611556' class=' answer'><span>Azure Machine Learning Studio<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150355[]' id='answer-id-611557' class='answer   answerof-150355 ' value='611557'   \/><label for='answer-id-611557' id='answer-label-611557' class=' answer'><span>Azure Databricks<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150355[]' id='answer-id-611558' class='answer   answerof-150355 ' value='611558'   \/><label for='answer-id-611558' id='answer-label-611558' class=' answer'><span>Azure Kubernetes Service (AKS)<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-5' style=';'><div id='questionWrap-5'  class='   watupro-question-id-150356'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>You are implementing a machine learning model to predict stock prices. <br \/>\r<br>The model uses a PostgreSQL database and requires GPU processing. <br \/>\r<br>You need to create a virtual machine that is pre-configured with the required tools. <br \/>\r<br>What should you do?<\/div><input type='hidden' name='question_id[]' id='qID_5' value='150356' \/><input type='hidden' id='answerType150356' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150356[]' id='answer-id-611559' class='answer   answerof-150356 ' value='611559'   \/><label for='answer-id-611559' id='answer-label-611559' class=' answer'><span>Create a Data Science Virtual Machine (DSVM) Windows edition.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150356[]' id='answer-id-611560' class='answer   answerof-150356 ' value='611560'   \/><label for='answer-id-611560' id='answer-label-611560' class=' answer'><span>Create a Geo Al Data Science Virtual Machine (Geo-DSVM) Windows edition.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150356[]' id='answer-id-611561' class='answer   answerof-150356 ' value='611561'   \/><label for='answer-id-611561' id='answer-label-611561' class=' answer'><span>Create a Deep Learning Virtual Machine (DLVM) Linux edition.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150356[]' id='answer-id-611562' class='answer   answerof-150356 ' value='611562'   \/><label for='answer-id-611562' id='answer-label-611562' class=' answer'><span>Create a Deep Learning Virtual Machine (DLVM) Windows edition.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-6' style=';'><div id='questionWrap-6'  class='   watupro-question-id-150357'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>You are developing deep learning models to analyze semi-structured, unstructured, and structured data types. <br \/>\r<br>You have the following data available for model building: <br \/>\r<br>- Video recordings of sporting events <br \/>\r<br>- Transcripts of radio commentary about events <br \/>\r<br>- Logs from related social media feeds captured during sporting events <br \/>\r<br>You need to select an environment for creating the model. <br \/>\r<br>Which environment should you use?<\/div><input type='hidden' name='question_id[]' id='qID_6' value='150357' \/><input type='hidden' id='answerType150357' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150357[]' id='answer-id-611563' class='answer   answerof-150357 ' value='611563'   \/><label for='answer-id-611563' id='answer-label-611563' class=' answer'><span>Azure Cognitive Services<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150357[]' id='answer-id-611564' class='answer   answerof-150357 ' value='611564'   \/><label for='answer-id-611564' id='answer-label-611564' class=' answer'><span>Azure Data Lake Analytics<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150357[]' id='answer-id-611565' class='answer   answerof-150357 ' value='611565'   \/><label for='answer-id-611565' id='answer-label-611565' class=' answer'><span>Azure HDInsight with Spark MLib<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150357[]' id='answer-id-611566' class='answer   answerof-150357 ' value='611566'   \/><label for='answer-id-611566' id='answer-label-611566' class=' answer'><span>Azure Machine Learning Studio<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-7' style=';'><div id='questionWrap-7'  class='   watupro-question-id-150358'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/span>You must store data in Azure Blob Storage to support Azure Machine Learning. <br \/>\r<br>You need to transfer the data into Azure Blob Storage. <br \/>\r<br>What are three possible ways to achieve the goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.<\/div><input type='hidden' name='question_id[]' id='qID_7' value='150358' \/><input type='hidden' id='answerType150358' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150358[]' id='answer-id-611567' class='answer   answerof-150358 ' value='611567'   \/><label for='answer-id-611567' id='answer-label-611567' class=' answer'><span>Bulk Insert SQL Query<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150358[]' id='answer-id-611568' class='answer   answerof-150358 ' value='611568'   \/><label for='answer-id-611568' id='answer-label-611568' class=' answer'><span>AzCopy<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150358[]' id='answer-id-611569' class='answer   answerof-150358 ' value='611569'   \/><label for='answer-id-611569' id='answer-label-611569' class=' answer'><span>Python script<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150358[]' id='answer-id-611570' class='answer   answerof-150358 ' value='611570'   \/><label for='answer-id-611570' id='answer-label-611570' class=' answer'><span>Azure Storage Explorer<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150358[]' id='answer-id-611571' class='answer   answerof-150358 ' value='611571'   \/><label for='answer-id-611571' id='answer-label-611571' class=' answer'><span>Bulk Copy Program (BCP)<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-8' style=';'><div id='questionWrap-8'  class='   watupro-question-id-150359'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>You are moving a large dataset from Azure Machine Learning Studio to a Weka environment. <br \/>\r<br>You need to format the data for the Weka environment. <br \/>\r<br>Which module should you use?<\/div><input type='hidden' name='question_id[]' id='qID_8' value='150359' \/><input type='hidden' id='answerType150359' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150359[]' id='answer-id-611572' class='answer   answerof-150359 ' value='611572'   \/><label for='answer-id-611572' id='answer-label-611572' class=' answer'><span>Convert to CSV<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150359[]' id='answer-id-611573' class='answer   answerof-150359 ' value='611573'   \/><label for='answer-id-611573' id='answer-label-611573' class=' answer'><span>Convert to Dataset<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150359[]' id='answer-id-611574' class='answer   answerof-150359 ' value='611574'   \/><label for='answer-id-611574' id='answer-label-611574' class=' answer'><span>Convert to ARFF<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150359[]' id='answer-id-611575' class='answer   answerof-150359 ' value='611575'   \/><label for='answer-id-611575' id='answer-label-611575' class=' answer'><span>Convert to SVMLight<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-9' style=';'><div id='questionWrap-9'  class='   watupro-question-id-150360'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>You plan to create a speech recognition deep learning model. <br \/>\r<br>The model must support the latest version of Python. <br \/>\r<br>You need to recommend a deep learning framework for speech recognition to include in the Data Science Virtual Machine (DSVM). <br \/>\r<br>What should you recommend?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='150360' \/><input type='hidden' id='answerType150360' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150360[]' id='answer-id-611576' class='answer   answerof-150360 ' value='611576'   \/><label for='answer-id-611576' id='answer-label-611576' class=' answer'><span>Rattle<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150360[]' id='answer-id-611577' class='answer   answerof-150360 ' value='611577'   \/><label for='answer-id-611577' id='answer-label-611577' class=' answer'><span>TensorFlow<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150360[]' id='answer-id-611578' class='answer   answerof-150360 ' value='611578'   \/><label for='answer-id-611578' id='answer-label-611578' class=' answer'><span>Weka<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150360[]' id='answer-id-611579' class='answer   answerof-150360 ' value='611579'   \/><label for='answer-id-611579' id='answer-label-611579' class=' answer'><span>Scikit-learn<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-10' style=';'><div id='questionWrap-10'  class='   watupro-question-id-150361'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/span>You plan to use a Deep Learning Virtual Machine (DLVM) to train deep learning models using Compute Unified Device Architecture (CUDA) computations. <br \/>\r<br>You need to configure the DLVM to support CUDA. <br \/>\r<br>What should you implement?<\/div><input type='hidden' name='question_id[]' id='qID_10' value='150361' \/><input type='hidden' id='answerType150361' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150361[]' id='answer-id-611580' class='answer   answerof-150361 ' value='611580'   \/><label for='answer-id-611580' id='answer-label-611580' class=' answer'><span>Solid State Drives (SSD)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150361[]' id='answer-id-611581' class='answer   answerof-150361 ' value='611581'   \/><label for='answer-id-611581' id='answer-label-611581' class=' answer'><span>Computer Processing Unit (CPU) speed increase by using overclocking<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150361[]' id='answer-id-611582' class='answer   answerof-150361 ' value='611582'   \/><label for='answer-id-611582' id='answer-label-611582' class=' answer'><span>Graphic Processing Unit (GPU)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150361[]' id='answer-id-611583' class='answer   answerof-150361 ' value='611583'   \/><label for='answer-id-611583' id='answer-label-611583' class=' answer'><span>High Random Access Memory (RAM) configuration<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150361[]' id='answer-id-611584' class='answer   answerof-150361 ' value='611584'   \/><label for='answer-id-611584' id='answer-label-611584' class=' answer'><span>Intel Software Guard Extensions (Intel SGX) technology<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-11' style=';'><div id='questionWrap-11'  class='   watupro-question-id-150362'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/span>You plan to use a Data Science Virtual Machine (DSVM) with the open source deep learning frameworks Caffe2 and PyTorch. <br \/>\r<br>You need to select a pre-configured DSVM to support the frameworks. <br \/>\r<br>What should you create?<\/div><input type='hidden' name='question_id[]' id='qID_11' value='150362' \/><input type='hidden' id='answerType150362' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150362[]' id='answer-id-611585' class='answer   answerof-150362 ' value='611585'   \/><label for='answer-id-611585' id='answer-label-611585' class=' answer'><span>Data Science Virtual Machine for Windows 2012<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150362[]' id='answer-id-611586' class='answer   answerof-150362 ' value='611586'   \/><label for='answer-id-611586' id='answer-label-611586' class=' answer'><span>Data Science Virtual Machine for Linux (CentOS)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150362[]' id='answer-id-611587' class='answer   answerof-150362 ' value='611587'   \/><label for='answer-id-611587' id='answer-label-611587' class=' answer'><span>Geo AI Data Science Virtual Machine with ArcGIS<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150362[]' id='answer-id-611588' class='answer   answerof-150362 ' value='611588'   \/><label for='answer-id-611588' id='answer-label-611588' class=' answer'><span>Data Science Virtual Machine for Windows 2016<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150362[]' id='answer-id-611589' class='answer   answerof-150362 ' value='611589'   \/><label for='answer-id-611589' id='answer-label-611589' class=' answer'><span>Data Science Virtual Machine for Linux (Ubuntu)<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-12' style=';'><div id='questionWrap-12'  class='   watupro-question-id-150363'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/span>HOTSPOT <br \/>\r<br>You are performing sentiment analysis using a CSV file that includes 12,000 customer reviews written in a short sentence format. You add the CSV file to Azure Machine Learning Studio and configure it as the starting point dataset of an experiment. You add the Extract N-Gram Features from Text module to the experiment to extract key phrases from the customer review column in the dataset. <br \/>\r<br>You must create a new n-gram dictionary from the customer review text and set the maximum n-gram size to trigrams. <br \/>\r<br>What should you select? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=286 height=842 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image009-3.jpg\" v:shapes=\"_x0000_i1028\"><br><\/div><input type='hidden' name='question_id[]' id='qID_12' value='150363' \/><input type='hidden' id='answerType150363' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150363[]' id='textarea_q_150363' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-13' style=';'><div id='questionWrap-13'  class='   watupro-question-id-150364'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/span>You are developing a data science workspace that uses an Azure Machine Learning service. <br \/>\r<br>You need to select a compute target to deploy the workspace. <br \/>\r<br>What should you use?<\/div><input type='hidden' name='question_id[]' id='qID_13' value='150364' \/><input type='hidden' id='answerType150364' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150364[]' id='answer-id-611591' class='answer   answerof-150364 ' value='611591'   \/><label for='answer-id-611591' id='answer-label-611591' class=' answer'><span>Azure Data Lake Analytics<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150364[]' id='answer-id-611592' class='answer   answerof-150364 ' value='611592'   \/><label for='answer-id-611592' id='answer-label-611592' class=' answer'><span>Azure Databricks<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150364[]' id='answer-id-611593' class='answer   answerof-150364 ' value='611593'   \/><label for='answer-id-611593' id='answer-label-611593' class=' answer'><span>Azure Container Service<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150364[]' id='answer-id-611594' class='answer   answerof-150364 ' value='611594'   \/><label for='answer-id-611594' id='answer-label-611594' class=' answer'><span>Apache Spark for HDInsight<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-14' style=';'><div id='questionWrap-14'  class='   watupro-question-id-150365'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/span>You are solving a classification task. <br \/>\r<br>The dataset is imbalanced. <br \/>\r<br>You need to select an Azure Machine Learning Studio module to improve the classification accuracy. <br \/>\r<br>Which module should you use?<\/div><input type='hidden' name='question_id[]' id='qID_14' value='150365' \/><input type='hidden' id='answerType150365' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150365[]' id='answer-id-611595' class='answer   answerof-150365 ' value='611595'   \/><label for='answer-id-611595' id='answer-label-611595' class=' answer'><span>Permutation Feature Importance<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150365[]' id='answer-id-611596' class='answer   answerof-150365 ' value='611596'   \/><label for='answer-id-611596' id='answer-label-611596' class=' answer'><span>Filter Based Feature Selection<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150365[]' id='answer-id-611597' class='answer   answerof-150365 ' value='611597'   \/><label for='answer-id-611597' id='answer-label-611597' class=' answer'><span>Fisher Linear Discriminant Analysis<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150365[]' id='answer-id-611598' class='answer   answerof-150365 ' value='611598'   \/><label for='answer-id-611598' id='answer-label-611598' class=' answer'><span>Synthetic Minority Oversampling Technique (SMOTE)<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-15' style=';'><div id='questionWrap-15'  class='   watupro-question-id-150366'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>DRAG DROP <br \/>\r<br>You configure a Deep Learning Virtual Machine for Windows. <br \/>\r<br>You need to recommend tools and frameworks to perform the following: <br \/>\r<br>- Build deep neural network (DNN) models <br \/>\r<br>- Perform interactive data exploration and visualization <br \/>\r<br>Which tools and frameworks should you recommend? To answer, drag the appropriate tools to the correct tasks. Each tool may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=650 height=259 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image013-3.jpg\" v:shapes=\"_x0000_i1030\"><br><\/div><input type='hidden' name='question_id[]' id='qID_15' value='150366' \/><input type='hidden' id='answerType150366' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150366[]' id='textarea_q_150366' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-16' style=';'><div id='questionWrap-16'  class='   watupro-question-id-150367'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>You are analyzing a dataset containing historical data from a local taxi company. You are developing a regression model. <br \/>\r<br>You must predict the fare of a taxi trip. <br \/>\r<br>You need to select performance metrics to correctly evaluate the regression model. <br \/>\r<br>Which two metrics can you use? Each correct answer presents a complete solution? NOTE: Each correct selection is worth one point.<\/div><input type='hidden' name='question_id[]' id='qID_16' value='150367' \/><input type='hidden' id='answerType150367' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150367[]' id='answer-id-611600' class='answer   answerof-150367 ' value='611600'   \/><label for='answer-id-611600' id='answer-label-611600' class=' answer'><span>a Root Mean Square Error value that is low<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150367[]' id='answer-id-611601' class='answer   answerof-150367 ' value='611601'   \/><label for='answer-id-611601' id='answer-label-611601' class=' answer'><span>an R-Squared value close to 0<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150367[]' id='answer-id-611602' class='answer   answerof-150367 ' value='611602'   \/><label for='answer-id-611602' id='answer-label-611602' class=' answer'><span>an F1 score that is low<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150367[]' id='answer-id-611603' class='answer   answerof-150367 ' value='611603'   \/><label for='answer-id-611603' id='answer-label-611603' class=' answer'><span>an R-Squared value close to 1<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150367[]' id='answer-id-611604' class='answer   answerof-150367 ' value='611604'   \/><label for='answer-id-611604' id='answer-label-611604' class=' answer'><span>an F1 score that is high<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150367[]' id='answer-id-611605' class='answer   answerof-150367 ' value='611605'   \/><label for='answer-id-611605' id='answer-label-611605' class=' answer'><span>a Root Mean Square Error value that is high<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-17' style=';'><div id='questionWrap-17'  class='   watupro-question-id-150368'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. <br \/>\r<br>After you answer a question in this section, you will NOT be able to return to it. As a result, these <br \/>\r<br>questions will not appear in the review screen. <br \/>\r<br>You are using Azure Machine Learning to run an experiment that trains a classification model. <br \/>\r<br>You want to use Hyperdrive to find parameters that optimize the AUC metric for the model. <br \/>\r<br>You configure a HyperDriveConfig for the experiment by running the following code: <br \/>\r<br><br><img decoding=\"async\" width=478 height=136 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image017-3.jpg\" v:shapes=\"_x0000_i1032\"><br><br \/>\r<br>You plan to use this configuration to run a script that trains a random forest model and then tests it with validation data. The label values for the validation data are stored in a variable named y_test variable, and the predicted probabilities from the model are stored in a variable named y_predicted. <br \/>\r<br>You need to add logging to the script to allow Hyperdrive to optimize hyperparameters for the AUC metric. <br \/>\r<br>Solution: Run the following code: <br \/>\r<br><br><img decoding=\"async\" width=376 height=115 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image019-4.jpg\" v:shapes=\"_x0000_i1033\"><br><br \/>\r<br>Does the solution meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_17' value='150368' \/><input type='hidden' id='answerType150368' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150368[]' id='answer-id-611606' class='answer   answerof-150368 ' value='611606'   \/><label for='answer-id-611606' id='answer-label-611606' class=' answer'><span>Yes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150368[]' id='answer-id-611607' class='answer   answerof-150368 ' value='611607'   \/><label for='answer-id-611607' id='answer-label-611607' class=' answer'><span>No<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-18' style=';'><div id='questionWrap-18'  class='   watupro-question-id-150369'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/span>Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. <br \/>\r<br>After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. <br \/>\r<br>You are using Azure Machine Learning to run an experiment that trains a classification model. <br \/>\r<br>You want to use Hyperdrive to find parameters that optimize the AUC metric for the model. <br \/>\r<br>You configure a HyperDriveConfig for the experiment by running the following code: <br \/>\r<br><br><img decoding=\"async\" width=509 height=153 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image020-7.jpg\" v:shapes=\"_x0000_i1034\"><br><br \/>\r<br>You plan to use this configuration to run a script that trains a random forest model and then tests it with validation data. The label values for the validation data are stored in a variable named y_test variable, and the predicted probabilities from the model are stored in a variable named y_predicted. <br \/>\r<br>You need to add logging to the script to allow Hyperdrive to optimize hyperparameters for the AUC metric. <br \/>\r<br>Solution: Run the following code: <br \/>\r<br><br><img decoding=\"async\" width=436 height=147 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image021-4.jpg\" v:shapes=\"_x0000_i1035\"><br><br \/>\r<br>Does the solution meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_18' value='150369' \/><input type='hidden' id='answerType150369' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150369[]' id='answer-id-611608' class='answer   answerof-150369 ' value='611608'   \/><label for='answer-id-611608' id='answer-label-611608' class=' answer'><span>Yes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150369[]' id='answer-id-611609' class='answer   answerof-150369 ' value='611609'   \/><label for='answer-id-611609' id='answer-label-611609' class=' answer'><span>No<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-19' style=';'><div id='questionWrap-19'  class='   watupro-question-id-150370'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. <br \/>\r<br>After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. <br \/>\r<br>You are using Azure Machine Learning to run an experiment that trains a classification model. <br \/>\r<br>You want to use Hyperdrive to find parameters that optimize the AUC metric for the model. <br \/>\r<br>You configure a HyperDriveConfig for the experiment by running the following code: <br \/>\r<br><br><img decoding=\"async\" width=494 height=140 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image023-4.jpg\" v:shapes=\"_x0000_i1036\"><br><br \/>\r<br>You plan to use this configuration to run a script that trains a random forest model and then tests it with validation data. The label values for the validation data are stored in a variable named y_test variable, and the predicted probabilities from the model are stored in a variable named y_predicted. <br \/>\r<br>You need to add logging to the script to allow Hyperdrive to optimize hyperparameters for the AUC metric. <br \/>\r<br>Solution: Run the following code: <br \/>\r<br><br><img decoding=\"async\" width=363 height=102 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image025-4.jpg\" v:shapes=\"_x0000_i1037\"><br><br \/>\r<br>Does the solution meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_19' value='150370' \/><input type='hidden' id='answerType150370' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150370[]' id='answer-id-611610' class='answer   answerof-150370 ' value='611610'   \/><label for='answer-id-611610' id='answer-label-611610' class=' answer'><span>Yes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150370[]' id='answer-id-611611' class='answer   answerof-150370 ' value='611611'   \/><label for='answer-id-611611' id='answer-label-611611' class=' answer'><span>No<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-20' style=';'><div id='questionWrap-20'  class='   watupro-question-id-150371'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>HOTSPOT <br \/>\r<br>The finance team asks you to train a model using data in an Azure Storage blob container named finance-data. <br \/>\r<br>You need to register the container as a datastore in an Azure Machine Learning workspace and ensure that an error will be raised if the container does not exist. <br \/>\r<br>How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=650 height=342 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image027-4.jpg\" v:shapes=\"_x0000_i1038\"><br><\/div><input type='hidden' name='question_id[]' id='qID_20' value='150371' \/><input type='hidden' id='answerType150371' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150371[]' id='textarea_q_150371' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-21' style=';'><div id='questionWrap-21'  class='   watupro-question-id-150372'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/span>You plan to provision an Azure Machine Learning Basic edition workspace for a data science project. <br \/>\r<br>You need to identify the tasks you will be able to perform in the workspace. <br \/>\r<br>Which three tasks will you be able to perform? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.<\/div><input type='hidden' name='question_id[]' id='qID_21' value='150372' \/><input type='hidden' id='answerType150372' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150372[]' id='answer-id-611613' class='answer   answerof-150372 ' value='611613'   \/><label for='answer-id-611613' id='answer-label-611613' class=' answer'><span>Create a Compute Instance and use it to run code in Jupyter notebooks.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150372[]' id='answer-id-611614' class='answer   answerof-150372 ' value='611614'   \/><label for='answer-id-611614' id='answer-label-611614' class=' answer'><span>Create an Azure Kubernetes Service (AKS) inference cluster.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150372[]' id='answer-id-611615' class='answer   answerof-150372 ' value='611615'   \/><label for='answer-id-611615' id='answer-label-611615' class=' answer'><span>Use the designer to train a model by dragging and dropping pre-defined modules.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150372[]' id='answer-id-611616' class='answer   answerof-150372 ' value='611616'   \/><label for='answer-id-611616' id='answer-label-611616' class=' answer'><span>Create a tabular dataset that supports versioning.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150372[]' id='answer-id-611617' class='answer   answerof-150372 ' value='611617'   \/><label for='answer-id-611617' id='answer-label-611617' class=' answer'><span>Use the Automated Machine Learning user interface to train a model.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-22' style=';'><div id='questionWrap-22'  class='   watupro-question-id-150373'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/span>HOTSPOT <br \/>\r<br>A coworker registers a datastore in a Machine Learning services workspace by using the following code: <br \/>\r<br><br><img decoding=\"async\" width=540 height=150 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image031-4.jpg\" v:shapes=\"_x0000_i1040\"><br><br \/>\r<br>You need to write code to access the datastore from a notebook. <br \/>\r<br>How should you complete the code segment? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=649 height=167 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image033-3.jpg\" v:shapes=\"_x0000_i1041\"><br><\/div><input type='hidden' name='question_id[]' id='qID_22' value='150373' \/><input type='hidden' id='answerType150373' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150373[]' id='textarea_q_150373' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-23' style=';'><div id='questionWrap-23'  class='   watupro-question-id-150374'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/span>A set of CSV files contains sales records. All the CSV files have the same data schema. <br \/>\r<br>Each CSV file contains the sales record for a particular month and has the filename sales.csv. Each file in stored in a folder that indicates the month and year when the data was recorded. The folders are in an Azure blob container for which a datastore has been defined in an Azure Machine Learning workspace. The folders are organized in a parent folder named sales to create the following hierarchical structure: <br \/>\r<br><br><img decoding=\"async\" width=102 height=184 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image037-3.jpg\" v:shapes=\"_x0000_i1043\"><br><br \/>\r<br>At the end of each month, a new folder with that month\u2019s sales file is added to the sales folder. <br \/>\r<br>You plan to use the sales data to train a machine learning model based on the following requirements: <br \/>\r<br>- You must define a dataset that loads all of the sales data to date into a structure that can be easily converted to a dataframe. <br \/>\r<br>- You must be able to create experiments that use only data that was created before a specific previous month, ignoring any data that was added after that month. <br \/>\r<br>- You must register the minimum number of datasets possible. <br \/>\r<br>You need to register the sales data as a dataset in Azure Machine Learning service workspace. <br \/>\r<br>What should you do?<\/div><input type='hidden' name='question_id[]' id='qID_23' value='150374' \/><input type='hidden' id='answerType150374' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150374[]' id='answer-id-611619' class='answer   answerof-150374 ' value='611619'   \/><label for='answer-id-611619' id='answer-label-611619' class=' answer'><span>Create a tabular dataset that references the datastore and explicitly specifies each 'sales\/mm-yyyy\/ sales.csv' file every month. Register the dataset with the name sales_dataset each month, replacing the existing dataset and specifying a tag named month indicating the month and year it was registered. Use this dataset for all experiments.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150374[]' id='answer-id-611620' class='answer   answerof-150374 ' value='611620'   \/><label for='answer-id-611620' id='answer-label-611620' class=' answer'><span>Create a tabular dataset that references the datastore and specifies the path 'sales\/*\/sales.csv', register the dataset with the name sales_dataset and a tag named month indicating the month and year it was registered, and use this dataset for all experiments.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150374[]' id='answer-id-611621' class='answer   answerof-150374 ' value='611621'   \/><label for='answer-id-611621' id='answer-label-611621' class=' answer'><span>Create a new tabular dataset that references the datastore and explicitly specifies each 'sales\/mm&shy;yyyy\/sales.csv' file every month. Register the dataset with the name sales_dataset_MM-YYYY each month with appropriate MM and YYYY values for the month and year. Use the appropriate month-specific dataset for experiments.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150374[]' id='answer-id-611622' class='answer   answerof-150374 ' value='611622'   \/><label for='answer-id-611622' id='answer-label-611622' class=' answer'><span>Create a tabular dataset that references the datastore and explicitly specifies each 'sales\/mm-yyyy\/ sales.csv' file. Register the dataset with the name sales_dataset each month as a new version and with a tag named month indicating the month and year it was registered. Use this dataset for all experiments, identifying the version to be used based on the month tag as necessary.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-24' style=';'><div id='questionWrap-24'  class='   watupro-question-id-150375'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/span>DRAG DROP <br \/>\r<br>An organization uses Azure Machine Learning service and wants to expand their use of machine learning. <br \/>\r<br>You have the following compute environments. <br \/>\r<br>The organization does not want to create another compute environment. <br \/>\r<br><br><img decoding=\"async\" width=503 height=110 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image039-3.jpg\" v:shapes=\"_x0000_i1044\"><br><br \/>\r<br>You need to determine which compute environment to use for the following scenarios. <br \/>\r<br>Which compute types should you use? To answer, drag the appropriate compute environments to the correct scenarios. Each compute environment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=640 height=175 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image041-3.jpg\" v:shapes=\"_x0000_i1045\"><br><\/div><input type='hidden' name='question_id[]' id='qID_24' value='150375' \/><input type='hidden' id='answerType150375' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150375[]' id='textarea_q_150375' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-25' style=';'><div id='questionWrap-25'  class='   watupro-question-id-150376'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/span>HOTSPOT <br \/>\r<br>You create an Azure Machine Learning compute target named ComputeOne by using the STANDARD_D1 virtual machine image. <br \/>\r<br>ComputeOne is currently idle and has zero active nodes. <br \/>\r<br>You define a Python variable named was that references the Azure Machine Learning workspace. <br \/>\r<br>You run the following Python code: <br \/>\r<br><br><img decoding=\"async\" width=650 height=165 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image047-3.jpg\" v:shapes=\"_x0000_i1048\"><br><br \/>\r<br>For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=650 height=226 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image049-3.jpg\" v:shapes=\"_x0000_i1049\"><br><\/div><input type='hidden' name='question_id[]' id='qID_25' value='150376' \/><input type='hidden' id='answerType150376' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150376[]' id='textarea_q_150376' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-26' style=';'><div id='questionWrap-26'  class='   watupro-question-id-150377'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/span>HOTSPOT <br \/>\r<br>You are developing a deep learning model by using TensorFlow. You plan to run the model training workload on an Azure Machine Learning Compute Instance. <br \/>\r<br>You must use CUDA-based model training. <br \/>\r<br>You need to provision the Compute Instance. <br \/>\r<br>Which two virtual machines sizes can you use? To answer, select the appropriate virtual machine sizes in the answer area. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=650 height=394 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image053-3.jpg\" v:shapes=\"_x0000_i1051\"><br><\/div><input type='hidden' name='question_id[]' id='qID_26' value='150377' \/><input type='hidden' id='answerType150377' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150377[]' id='textarea_q_150377' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-27' style=';'><div id='questionWrap-27'  class='   watupro-question-id-150378'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/span>You use the following code to run a script as an experiment in Azure Machine Learning: <br \/>\r<br><br><img decoding=\"async\" width=650 height=122 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image057-3.jpg\" v:shapes=\"_x0000_i1053\"><br><br \/>\r<br>You must identify the output files that are generated by the experiment run. <br \/>\r<br>You need to add code to retrieve the output file names. <br \/>\r<br>Which code segment should you add to the script?<\/div><input type='hidden' name='question_id[]' id='qID_27' value='150378' \/><input type='hidden' id='answerType150378' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150378[]' id='answer-id-611626' class='answer   answerof-150378 ' value='611626'   \/><label for='answer-id-611626' id='answer-label-611626' class=' answer'><span>files = run.get_properties()<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150378[]' id='answer-id-611627' class='answer   answerof-150378 ' value='611627'   \/><label for='answer-id-611627' id='answer-label-611627' class=' answer'><span>files= run.get_file_names()<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150378[]' id='answer-id-611628' class='answer   answerof-150378 ' value='611628'   \/><label for='answer-id-611628' id='answer-label-611628' class=' answer'><span>files = run.get_details_with_logs()<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150378[]' id='answer-id-611629' class='answer   answerof-150378 ' value='611629'   \/><label for='answer-id-611629' id='answer-label-611629' class=' answer'><span>files = run.get_metrics()<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150378[]' id='answer-id-611630' class='answer   answerof-150378 ' value='611630'   \/><label for='answer-id-611630' id='answer-label-611630' class=' answer'><span>files = run.get_details()<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-28' style=';'><div id='questionWrap-28'  class='   watupro-question-id-150379'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/span>You write five Python scripts that must be processed in the order specified in Exhibit A C which allows the same modules to run in parallel, but will wait for modules with dependencies. <br \/>\r<br>You must create an Azure Machine Learning pipeline using the Python SDK, because you want to script to create the pipeline to be tracked in your version control system. You have created five PythonScriptSteps and have named the variables to match the module names. <br \/>\r<br><br><img decoding=\"async\" width=649 height=254 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image059-3.jpg\" v:shapes=\"_x0000_i1054\"><br><br \/>\r<br>You need to create the pipeline shown. Assume all relevant imports have been done. <br \/>\r<br>Which Python code segment should you use? <br \/>\r<br>A) <br \/>\r<br><br><img decoding=\"async\" width=650 height=16 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image061-3.jpg\" v:shapes=\"_x0000_i1055\"><br><br \/>\r<br>B) <br \/>\r<br><br><img decoding=\"async\" width=388 height=305 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image063-3.jpg\" v:shapes=\"_x0000_i1056\"><br><br \/>\r<br>C) <br \/>\r<br><br><img decoding=\"async\" width=317 height=107 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image065-3.jpg\" v:shapes=\"_x0000_i1057\"><br><br \/>\r<br>D) <br \/>\r<br><br><img decoding=\"async\" width=650 height=17 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image067-3.jpg\" v:shapes=\"_x0000_i1058\"><br><\/div><input type='hidden' name='question_id[]' id='qID_28' value='150379' \/><input type='hidden' id='answerType150379' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150379[]' id='answer-id-611631' class='answer   answerof-150379 ' value='611631'   \/><label for='answer-id-611631' id='answer-label-611631' class=' answer'><span>Option A<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150379[]' id='answer-id-611632' class='answer   answerof-150379 ' value='611632'   \/><label for='answer-id-611632' id='answer-label-611632' class=' answer'><span>Option B<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150379[]' id='answer-id-611633' class='answer   answerof-150379 ' value='611633'   \/><label for='answer-id-611633' id='answer-label-611633' class=' answer'><span>Option C<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150379[]' id='answer-id-611634' class='answer   answerof-150379 ' value='611634'   \/><label for='answer-id-611634' id='answer-label-611634' class=' answer'><span>Option D<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-29' style=';'><div id='questionWrap-29'  class='   watupro-question-id-150380'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>HOTSPOT <br \/>\r<br>You are preparing to use the Azure ML SDK to run an experiment and need to create compute. <br \/>\r<br>You run the following code: <br \/>\r<br><br><img decoding=\"async\" width=650 height=153 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image069-3.jpg\" v:shapes=\"_x0000_i1059\"><br><br \/>\r<br>For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=650 height=305 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image071-4.jpg\" v:shapes=\"_x0000_i1060\"><br><\/div><input type='hidden' name='question_id[]' id='qID_29' value='150380' \/><input type='hidden' id='answerType150380' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150380[]' id='textarea_q_150380' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-30' style=';'><div id='questionWrap-30'  class='   watupro-question-id-150381'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/span>You create a datastore named training_data that references a blob container in an Azure Storage account. The blob container contains a folder named csv_files in which multiple comma-separated values (CSV) files are stored. <br \/>\r<br>You have a script named train.py in a local folder named .\/script that you plan to run as an experiment using an estimator. <br \/>\r<br>The script includes the following code to read data from the csv_files folder: <br \/>\r<br><br><img decoding=\"async\" width=650 height=231 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image075-4.jpg\" v:shapes=\"_x0000_i1062\"><br><br \/>\r<br>You have the following script. <br \/>\r<br><br><img decoding=\"async\" width=586 height=243 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image077-4.jpg\" v:shapes=\"_x0000_i1063\"><br><br \/>\r<br>You need to configure the estimator for the experiment so that the script can read the data from a data reference named data_ref that references the csv_files folder in the training_data datastore. <br \/>\r<br>Which code should you use to configure the estimator? <br \/>\r<br>A) <br \/>\r<br><br><img decoding=\"async\" width=650 height=70 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image079-4.jpg\" v:shapes=\"_x0000_i1064\"><br><br \/>\r<br>B) <br \/>\r<br><br><img decoding=\"async\" width=526 height=151 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image081-4.jpg\" v:shapes=\"_x0000_i1065\"><br><br \/>\r<br>C) <br \/>\r<br><br><img decoding=\"async\" width=649 height=86 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image083-4.jpg\" v:shapes=\"_x0000_i1066\"><br><br \/>\r<br>D) <br \/>\r<br><br><img decoding=\"async\" width=650 height=128 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image085-4.jpg\" v:shapes=\"_x0000_i1067\"><br><br \/>\r<br>E) <br \/>\r<br><br><img decoding=\"async\" width=649 height=66 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image087-4.jpg\" v:shapes=\"_x0000_i1068\"><br><\/div><input type='hidden' name='question_id[]' id='qID_30' value='150381' \/><input type='hidden' id='answerType150381' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150381[]' id='answer-id-611636' class='answer   answerof-150381 ' value='611636'   \/><label for='answer-id-611636' id='answer-label-611636' class=' answer'><span>Option A<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150381[]' id='answer-id-611637' class='answer   answerof-150381 ' value='611637'   \/><label for='answer-id-611637' id='answer-label-611637' class=' answer'><span>Option B<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150381[]' id='answer-id-611638' class='answer   answerof-150381 ' value='611638'   \/><label for='answer-id-611638' id='answer-label-611638' class=' answer'><span>Option C<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150381[]' id='answer-id-611639' class='answer   answerof-150381 ' value='611639'   \/><label for='answer-id-611639' id='answer-label-611639' class=' answer'><span>Option D<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150381[]' id='answer-id-611640' class='answer   answerof-150381 ' value='611640'   \/><label for='answer-id-611640' id='answer-label-611640' class=' answer'><span>Option E<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-31' style=';'><div id='questionWrap-31'  class='   watupro-question-id-150382'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>31. <\/span>DRAG DROP <br \/>\r<br>You create a multi-class image classification deep learning experiment by using the PyTorch framework. <br \/>\r<br>You plan to run the experiment on an Azure Compute cluster that has nodes with GPU\u2019s. <br \/>\r<br>You need to define an Azure Machine Learning service pipeline to perform the monthly retraining of the image classification model. The pipeline must run with minimal cost and minimize the time required to train the model. <br \/>\r<br>Which three pipeline steps should you run in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. <br \/>\r<br><br><img decoding=\"async\" width=649 height=490 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image089-4.jpg\" v:shapes=\"_x0000_i1069\"><br><\/div><input type='hidden' name='question_id[]' id='qID_31' value='150382' \/><input type='hidden' id='answerType150382' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150382[]' id='textarea_q_150382' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-32' style=';'><div id='questionWrap-32'  class='   watupro-question-id-150383'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>32. <\/span>HOTSPOT <br \/>\r<br>You are a lead data scientist for a project that tracks the health and migration of birds. You create a multi-image classification deep learning model that uses a set of labeled bird photos collected by experts. You plan to use the model to develop a cross-platform mobile app that predicts the species of bird captured by app users. <br \/>\r<br>You must test and deploy the trained model as a web service. <br \/>\r<br>The deployed model must meet the following requirements: <br \/>\r<br>- An authenticated connection must not be required for testing. <br \/>\r<br>- The deployed model must perform with low latency during inferencing. <br \/>\r<br>- The REST endpoints must be scalable and should have a capacity to handle large number of requests when multiple end users are using the mobile application. <br \/>\r<br>You need to verify that the web service returns predictions in the expected JSON format when a valid REST request is submitted. <br \/>\r<br>Which compute resources should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=628 height=339 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image093-4.jpg\" v:shapes=\"_x0000_i1071\"><br><\/div><input type='hidden' name='question_id[]' id='qID_32' value='150383' \/><input type='hidden' id='answerType150383' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150383[]' id='textarea_q_150383' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-33' style=';'><div id='questionWrap-33'  class='   watupro-question-id-150384'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>33. <\/span>You create a deep learning model for image recognition on Azure Machine Learning service using GPU-based training. <br \/>\r<br>You must deploy the model to a context that allows for real-time GPU-based inferencing. <br \/>\r<br>You need to configure compute resources for model inferencing. <br \/>\r<br>Which compute type should you use?<\/div><input type='hidden' name='question_id[]' id='qID_33' value='150384' \/><input type='hidden' id='answerType150384' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150384[]' id='answer-id-611643' class='answer   answerof-150384 ' value='611643'   \/><label for='answer-id-611643' id='answer-label-611643' class=' answer'><span>Azure Container Instance<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150384[]' id='answer-id-611644' class='answer   answerof-150384 ' value='611644'   \/><label for='answer-id-611644' id='answer-label-611644' class=' answer'><span>Azure Kubernetes Service<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150384[]' id='answer-id-611645' class='answer   answerof-150384 ' value='611645'   \/><label for='answer-id-611645' id='answer-label-611645' class=' answer'><span>Field Programmable Gate Array<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150384[]' id='answer-id-611646' class='answer   answerof-150384 ' value='611646'   \/><label for='answer-id-611646' id='answer-label-611646' class=' answer'><span>Machine Learning Compute<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-34' style=';'><div id='questionWrap-34'  class='   watupro-question-id-150385'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>34. <\/span>You create a batch inference pipeline by using the Azure ML SDK. <br \/>\r<br>You run the pipeline by using the following code: <br \/>\r<br>from azureml.pipeline.core import Pipeline <br \/>\r<br>from azureml.core.experiment import Experiment <br \/>\r<br><br \/>\r<br>pipeline = Pipeline(workspace=ws, steps=[parallelrun_step]) <br \/>\r<br>pipeline_run = Experiment(ws, 'batch_pipeline').submit(pipeline) <br \/>\r<br>You need to monitor the progress of the pipeline execution. <br \/>\r<br>What are two possible ways to achieve this goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.<\/div><input type='hidden' name='question_id[]' id='qID_34' value='150385' \/><input type='hidden' id='answerType150385' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150385[]' id='answer-id-611647' class='answer   answerof-150385 ' value='611647'   \/><label for='answer-id-611647' id='answer-label-611647' class=' answer'><span>Run the following code in a notebook: \r\n<br><img decoding=\"async\" width=650 height=118 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image097-6.jpg\" v:shapes=\"_x0000_i1073\"><br><\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150385[]' id='answer-id-611648' class='answer   answerof-150385 ' value='611648'   \/><label for='answer-id-611648' id='answer-label-611648' class=' answer'><span>Use the Inference Clusters tab in Machine Learning Studio.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150385[]' id='answer-id-611649' class='answer   answerof-150385 ' value='611649'   \/><label for='answer-id-611649' id='answer-label-611649' class=' answer'><span>Use the Activity log in the Azure portal for the Machine Learning workspace.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150385[]' id='answer-id-611650' class='answer   answerof-150385 ' value='611650'   \/><label for='answer-id-611650' id='answer-label-611650' class=' answer'><span>Run the following code in a notebook: \r\n<br><img decoding=\"async\" width=440 height=43 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image099-4.jpg\" v:shapes=\"_x0000_i1074\"><br><\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150385[]' id='answer-id-611651' class='answer   answerof-150385 ' value='611651'   \/><label for='answer-id-611651' id='answer-label-611651' class=' answer'><span>Run the following code and monitor the console output from the PipelineRun object: \r\n<br><img decoding=\"async\" width=577 height=20 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image101-4.jpg\" v:shapes=\"_x0000_i1075\"><br><\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-35' style=';'><div id='questionWrap-35'  class='   watupro-question-id-150386'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>35. <\/span>You train and register a model in your Azure Machine Learning workspace. <br \/>\r<br>You must publish a pipeline that enables client applications to use the model for batch inferencing. You must use a pipeline with a single ParallelRunStep step that runs a Python inferencing script to get predictions from the input data. <br \/>\r<br>You need to create the inferencing script for the ParallelRunStep pipeline step. <br \/>\r<br>Which two functions should you include? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.<\/div><input type='hidden' name='question_id[]' id='qID_35' value='150386' \/><input type='hidden' id='answerType150386' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150386[]' id='answer-id-611652' class='answer   answerof-150386 ' value='611652'   \/><label for='answer-id-611652' id='answer-label-611652' class=' answer'><span>run(mini_batch)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150386[]' id='answer-id-611653' class='answer   answerof-150386 ' value='611653'   \/><label for='answer-id-611653' id='answer-label-611653' class=' answer'><span>main()<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150386[]' id='answer-id-611654' class='answer   answerof-150386 ' value='611654'   \/><label for='answer-id-611654' id='answer-label-611654' class=' answer'><span>batch()<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150386[]' id='answer-id-611655' class='answer   answerof-150386 ' value='611655'   \/><label for='answer-id-611655' id='answer-label-611655' class=' answer'><span>init()<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150386[]' id='answer-id-611656' class='answer   answerof-150386 ' value='611656'   \/><label for='answer-id-611656' id='answer-label-611656' class=' answer'><span>score(mini_batch)<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-36' style=';'><div id='questionWrap-36'  class='   watupro-question-id-150387'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>36. <\/span>You deploy a model as an Azure Machine Learning real-time web service using the following code. <br \/>\r<br><br><img decoding=\"async\" width=650 height=58 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image103-3.jpg\" v:shapes=\"_x0000_i1076\"><br><br \/>\r<br>The deployment fails. <br \/>\r<br>You need to troubleshoot the deployment failure by determining the actions that were performed during deployment and identifying the specific action that failed. <br \/>\r<br>Which code segment should you run?<\/div><input type='hidden' name='question_id[]' id='qID_36' value='150387' \/><input type='hidden' id='answerType150387' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150387[]' id='answer-id-611657' class='answer   answerof-150387 ' value='611657'   \/><label for='answer-id-611657' id='answer-label-611657' class=' answer'><span>service.get_logs()<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150387[]' id='answer-id-611658' class='answer   answerof-150387 ' value='611658'   \/><label for='answer-id-611658' id='answer-label-611658' class=' answer'><span>service.state<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150387[]' id='answer-id-611659' class='answer   answerof-150387 ' value='611659'   \/><label for='answer-id-611659' id='answer-label-611659' class=' answer'><span>service.serialize()<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150387[]' id='answer-id-611660' class='answer   answerof-150387 ' value='611660'   \/><label for='answer-id-611660' id='answer-label-611660' class=' answer'><span>service.update_deployment_state()<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-37' style=';'><div id='questionWrap-37'  class='   watupro-question-id-150388'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>37. <\/span>HOTSPOT <br \/>\r<br>You deploy a model in Azure Container Instance. <br \/>\r<br>You must use the Azure Machine Learning SDK to call the model API. <br \/>\r<br>You need to invoke the deployed model using native SDK classes and methods. <br \/>\r<br>How should you complete the command? To answer, select the appropriate options in the answer areas. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=650 height=416 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image105-3.jpg\" v:shapes=\"_x0000_i1077\"><br><\/div><input type='hidden' name='question_id[]' id='qID_37' value='150388' \/><input type='hidden' id='answerType150388' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150388[]' id='textarea_q_150388' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-38' style=';'><div id='questionWrap-38'  class='   watupro-question-id-150389'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>38. <\/span>You create a multi-class image classification deep learning model. <br \/>\r<br>You train the model by using PyTorch version 1.2. <br \/>\r<br>You need to ensure that the correct version of PyTorch can be identified for the inferencing environment when the model is deployed. <br \/>\r<br>What should you do?<\/div><input type='hidden' name='question_id[]' id='qID_38' value='150389' \/><input type='hidden' id='answerType150389' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150389[]' id='answer-id-611662' class='answer   answerof-150389 ' value='611662'   \/><label for='answer-id-611662' id='answer-label-611662' class=' answer'><span>Save the model locally as a.pt file, and deploy the model as a local web service.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150389[]' id='answer-id-611663' class='answer   answerof-150389 ' value='611663'   \/><label for='answer-id-611663' id='answer-label-611663' class=' answer'><span>Deploy the model on computer that is configured to use the default Azure Machine Learning conda environment.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150389[]' id='answer-id-611664' class='answer   answerof-150389 ' value='611664'   \/><label for='answer-id-611664' id='answer-label-611664' class=' answer'><span>Register the model with a .pt file extension and the default version property.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150389[]' id='answer-id-611665' class='answer   answerof-150389 ' value='611665'   \/><label for='answer-id-611665' id='answer-label-611665' class=' answer'><span>Register the model, specifying the model_framework and model_framework_version properties.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-39' style=';'><div id='questionWrap-39'  class='   watupro-question-id-150390'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>39. <\/span>Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. <br \/>\r<br>After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. <br \/>\r<br>An IT department creates the following Azure resource groups and resources: <br \/>\r<br><br><img decoding=\"async\" width=617 height=183 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image109-3.jpg\" v:shapes=\"_x0000_i1079\"><br><br \/>\r<br>The IT department creates an Azure Kubernetes Service (AKS)-based inference compute target named aks-cluster in the Azure Machine Learning workspace. <br \/>\r<br>You have a Microsoft Surface Book computer with a GPU. Python 3.6 and Visual Studio Code are installed. <br \/>\r<br>You need to run a script that trains a deep neural network (DNN) model and logs the loss and accuracy metrics. <br \/>\r<br>Solution: Attach the mlvm virtual machine as a compute target in the Azure Machine Learning workspace. Install the Azure ML SDK on the Surface Book and run Python code to connect to the workspace. Run the training script as an experiment on the mlvm remote compute resource. <br \/>\r<br>Does the solution meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_39' value='150390' \/><input type='hidden' id='answerType150390' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150390[]' id='answer-id-611666' class='answer   answerof-150390 ' value='611666'   \/><label for='answer-id-611666' id='answer-label-611666' class=' answer'><span>Yes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150390[]' id='answer-id-611667' class='answer   answerof-150390 ' value='611667'   \/><label for='answer-id-611667' id='answer-label-611667' class=' answer'><span>No<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-40' style=';'><div id='questionWrap-40'  class='   watupro-question-id-150391'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>40. <\/span>Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. <br \/>\r<br>After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. <br \/>\r<br>An IT department creates the following Azure resource groups and resources: <br \/>\r<br><br><img decoding=\"async\" width=617 height=183 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image109-4.jpg\" v:shapes=\"_x0000_i1080\"><br><br \/>\r<br>The IT department creates an Azure Kubernetes Service (AKS)-based inference compute target named aks-cluster in the Azure Machine Learning workspace. <br \/>\r<br>You have a Microsoft Surface Book computer with a GPU. Python 3.6 and Visual Studio Code are installed. <br \/>\r<br>You need to run a script that trains a deep neural network (DNN) model and logs the loss and accuracy metrics. <br \/>\r<br>Solution: Install the Azure ML SDK on the Surface Book. Run Python code to connect to the workspace and then run the training script as an experiment on local compute. <br \/>\r<br>Does the solution meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_40' value='150391' \/><input type='hidden' id='answerType150391' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150391[]' id='answer-id-611668' class='answer   answerof-150391 ' value='611668'   \/><label for='answer-id-611668' id='answer-label-611668' class=' answer'><span>Yes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150391[]' id='answer-id-611669' class='answer   answerof-150391 ' value='611669'   \/><label for='answer-id-611669' id='answer-label-611669' class=' answer'><span>No<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-41' style=';'><div id='questionWrap-41'  class='   watupro-question-id-150392'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>41. <\/span>Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets <br \/>\r<br>might have more than one correct solution, while others might not have a correct solution. <br \/>\r<br>After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. <br \/>\r<br>An IT department creates the following Azure resource groups and resources: <br \/>\r<br><br><img decoding=\"async\" width=617 height=183 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image110-1.jpg\" v:shapes=\"_x0000_i1081\"><br><br \/>\r<br>The IT department creates an Azure Kubernetes Service (AKS)-based inference compute target named aks-cluster in the Azure Machine Learning workspace. <br \/>\r<br>You have a Microsoft Surface Book computer with a GPU. Python 3.6 and Visual Studio Code are installed. <br \/>\r<br>You need to run a script that trains a deep neural network (DNN) model and logs the loss and accuracy metrics. <br \/>\r<br>Solution: Install the Azure ML SDK on the Surface Book. Run Python code to connect to the workspace. <br \/>\r<br>Run the training script as an experiment on the aks-cluster compute target. <br \/>\r<br>Does the solution meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_41' value='150392' \/><input type='hidden' id='answerType150392' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150392[]' id='answer-id-611670' class='answer   answerof-150392 ' value='611670'   \/><label for='answer-id-611670' id='answer-label-611670' class=' answer'><span>Yes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150392[]' id='answer-id-611671' class='answer   answerof-150392 ' value='611671'   \/><label for='answer-id-611671' id='answer-label-611671' class=' answer'><span>No<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-42' style=';'><div id='questionWrap-42'  class='   watupro-question-id-150393'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>42. <\/span>You create an Azure Machine Learning workspace. <br \/>\r<br>You must create a custom role named DataScientist that meets the following requirements: <br \/>\r<br>- Role members must not be able to delete the workspace. <br \/>\r<br>- Role members must not be able to create, update, or delete compute resource in the workspace. <br \/>\r<br>- Role members must not be able to add new users to the workspace. <br \/>\r<br>You need to create a JSON file for the DataScientist role in the Azure Machine Learning workspace. <br \/>\r<br>The custom role must enforce the restrictions specified by the IT Operations team. <br \/>\r<br>Which JSON code segment should you use? <br \/>\r<br>A) <br \/>\r<br><br><img decoding=\"async\" width=650 height=189 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image112-2.jpg\" v:shapes=\"_x0000_i1082\"><br><br \/>\r<br>B) <br \/>\r<br><br><img decoding=\"async\" width=650 height=134 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image114-3.jpg\" v:shapes=\"_x0000_i1083\"><br><br \/>\r<br>C) <br \/>\r<br><br><img decoding=\"async\" width=650 height=177 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image116-3.jpg\" v:shapes=\"_x0000_i1084\"><br><br \/>\r<br>D) <br \/>\r<br><br><img decoding=\"async\" width=650 height=135 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image118-3.jpg\" v:shapes=\"_x0000_i1085\"><br><\/div><input type='hidden' name='question_id[]' id='qID_42' value='150393' \/><input type='hidden' id='answerType150393' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150393[]' id='answer-id-611672' class='answer   answerof-150393 ' value='611672'   \/><label for='answer-id-611672' id='answer-label-611672' class=' answer'><span>Option A<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150393[]' id='answer-id-611673' class='answer   answerof-150393 ' value='611673'   \/><label for='answer-id-611673' id='answer-label-611673' class=' answer'><span>Option B<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150393[]' id='answer-id-611674' class='answer   answerof-150393 ' value='611674'   \/><label for='answer-id-611674' id='answer-label-611674' class=' answer'><span>Option C<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150393[]' id='answer-id-611675' class='answer   answerof-150393 ' value='611675'   \/><label for='answer-id-611675' id='answer-label-611675' class=' answer'><span>Option D<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-43' style=';'><div id='questionWrap-43'  class='   watupro-question-id-150394'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>43. <\/span>You train a machine learning model. <br \/>\r<br>You must deploy the model as a real-time inference service for testing. The service requires low CPU utilization and less than 48 MB of RAM. The compute target for the deployed service must initialize automatically while minimizing cost and administrative overhead. <br \/>\r<br>Which compute target should you use?<\/div><input type='hidden' name='question_id[]' id='qID_43' value='150394' \/><input type='hidden' id='answerType150394' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150394[]' id='answer-id-611676' class='answer   answerof-150394 ' value='611676'   \/><label for='answer-id-611676' id='answer-label-611676' class=' answer'><span>Azure Container Instance (ACI)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150394[]' id='answer-id-611677' class='answer   answerof-150394 ' value='611677'   \/><label for='answer-id-611677' id='answer-label-611677' class=' answer'><span>attached Azure Databricks cluster<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150394[]' id='answer-id-611678' class='answer   answerof-150394 ' value='611678'   \/><label for='answer-id-611678' id='answer-label-611678' class=' answer'><span>Azure Kubernetes Service (AKS) inference cluster<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150394[]' id='answer-id-611679' class='answer   answerof-150394 ' value='611679'   \/><label for='answer-id-611679' id='answer-label-611679' class=' answer'><span>Azure Machine Learning compute cluster<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-44' style=';'><div id='questionWrap-44'  class='   watupro-question-id-150395'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>44. <\/span>You register a model that you plan to use in a batch inference pipeline. <br \/>\r<br>The batch inference pipeline must use a ParallelRunStep step to process files in a file dataset. The script has the ParallelRunStep step runs must process six input files each time the inferencing function is called. <br \/>\r<br>You need to configure the pipeline. <br \/>\r<br>Which configuration setting should you specify in the ParallelRunConfig object for the PrallelRunStep step?<\/div><input type='hidden' name='question_id[]' id='qID_44' value='150395' \/><input type='hidden' id='answerType150395' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150395[]' id='answer-id-611680' class='answer   answerof-150395 ' value='611680'   \/><label for='answer-id-611680' id='answer-label-611680' class=' answer'><span>process_count_per_node= &quot;6&quot;<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150395[]' id='answer-id-611681' class='answer   answerof-150395 ' value='611681'   \/><label for='answer-id-611681' id='answer-label-611681' class=' answer'><span>node_count= &quot;6&quot;<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150395[]' id='answer-id-611682' class='answer   answerof-150395 ' value='611682'   \/><label for='answer-id-611682' id='answer-label-611682' class=' answer'><span>mini_batch_size= &quot;6&quot;<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150395[]' id='answer-id-611683' class='answer   answerof-150395 ' value='611683'   \/><label for='answer-id-611683' id='answer-label-611683' class=' answer'><span>error_threshold= &quot;6&quot;<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-45' style=';'><div id='questionWrap-45'  class='   watupro-question-id-150396'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>45. <\/span>HOTSPOT <br \/>\r<br>You plan to use Hyperdrive to optimize the hyperparameters selected when training a model. <br \/>\r<br>You create the following code to define options for the hyperparameter experiment: <br \/>\r<br><br><img decoding=\"async\" width=600 height=240 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image120.gif\" v:shapes=\"_x0000_i1086\"><br><br \/>\r<br>For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=650 height=234 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image122-1.jpg\" v:shapes=\"_x0000_i1087\"><br><\/div><input type='hidden' name='question_id[]' id='qID_45' value='150396' \/><input type='hidden' id='answerType150396' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150396[]' id='textarea_q_150396' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-46' style=';'><div id='questionWrap-46'  class='   watupro-question-id-150397'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>46. <\/span>You deploy a real-time inference service for a trained model. <br \/>\r<br>The deployed model supports a business-critical application, and it is important to be able to monitor the data submitted to the web service and the predictions the data generates. <br \/>\r<br>You need to implement a monitoring solution for the deployed model using minimal administrative effort. <br \/>\r<br>What should you do?<\/div><input type='hidden' name='question_id[]' id='qID_46' value='150397' \/><input type='hidden' id='answerType150397' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150397[]' id='answer-id-611685' class='answer   answerof-150397 ' value='611685'   \/><label for='answer-id-611685' id='answer-label-611685' class=' answer'><span>View the explanations for the registered model in Azure ML studio.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150397[]' id='answer-id-611686' class='answer   answerof-150397 ' value='611686'   \/><label for='answer-id-611686' id='answer-label-611686' class=' answer'><span>Enable Azure Application Insights for the service endpoint and view logged data in the Azure portal.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150397[]' id='answer-id-611687' class='answer   answerof-150397 ' value='611687'   \/><label for='answer-id-611687' id='answer-label-611687' class=' answer'><span>View the log files generated by the experiment used to train the model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150397[]' id='answer-id-611688' class='answer   answerof-150397 ' value='611688'   \/><label for='answer-id-611688' id='answer-label-611688' class=' answer'><span>Create an ML Flow tracking URI that references the endpoint, and view the data logged by ML Flow.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-47' style=';'><div id='questionWrap-47'  class='   watupro-question-id-150398'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>47. <\/span>HOTSPOT <br \/>\r<br>You are preparing to build a deep learning convolutional neural network model for image classification. <br \/>\r<br>You create a script to train the model using CUDA devices. <br \/>\r<br>You must submit an experiment that runs this script in the Azure Machine Learning workspace. <br \/>\r<br>The following compute resources are available: <br \/>\r<br>- a Microsoft Surface device on which Microsoft Office has been installed. Corporate IT policies prevent the installation of additional software <br \/>\r<br>- a Compute Instance named ds-workstation in the workspace with 2 CPUs and 8 GB of memory <br \/>\r<br>- an Azure Machine Learning compute target named cpu-cluster with eight CPU-based nodes <br \/>\r<br>- an Azure Machine Learning compute target named gpu-cluster with four CPU and GPU-based nodes <br \/>\r<br>You need to specify the compute resources to be used for running the code to submit the experiment, and for running the script in order to minimize model training time. <br \/>\r<br>Which resources should the data scientist use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=523 height=333 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image128.jpg\" v:shapes=\"_x0000_i1090\"><br><\/div><input type='hidden' name='question_id[]' id='qID_47' value='150398' \/><input type='hidden' id='answerType150398' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150398[]' id='textarea_q_150398' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-48' style=';'><div id='questionWrap-48'  class='   watupro-question-id-150399'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>48. <\/span>You create an Azure Machine Learning workspace. You are preparing a local Python environment on a laptop computer. You want to use the laptop to connect to the workspace and run experiments. <br \/>\r<br>You create the following config.json file. <br \/>\r<br><br><img decoding=\"async\" width=348 height=52 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image132.jpg\" v:shapes=\"_x0000_i1092\"><br><br \/>\r<br>You must use the Azure Machine Learning SDK to interact with data and experiments in the workspace. <br \/>\r<br>You need to configure the config.json file to connect to the workspace from the Python environment. <br \/>\r<br>Which two additional parameters must you add to the config.json file in order to connect to the workspace? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.<\/div><input type='hidden' name='question_id[]' id='qID_48' value='150399' \/><input type='hidden' id='answerType150399' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150399[]' id='answer-id-611690' class='answer   answerof-150399 ' value='611690'   \/><label for='answer-id-611690' id='answer-label-611690' class=' answer'><span>login<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150399[]' id='answer-id-611691' class='answer   answerof-150399 ' value='611691'   \/><label for='answer-id-611691' id='answer-label-611691' class=' answer'><span>resource_group<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150399[]' id='answer-id-611692' class='answer   answerof-150399 ' value='611692'   \/><label for='answer-id-611692' id='answer-label-611692' class=' answer'><span>subscription_id<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150399[]' id='answer-id-611693' class='answer   answerof-150399 ' value='611693'   \/><label for='answer-id-611693' id='answer-label-611693' class=' answer'><span>key<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150399[]' id='answer-id-611694' class='answer   answerof-150399 ' value='611694'   \/><label for='answer-id-611694' id='answer-label-611694' class=' answer'><span>region<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-49' style=';'><div id='questionWrap-49'  class='   watupro-question-id-150400'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>49. <\/span>HOTSPOT <br \/>\r<br>You are using Azure Machine Learning to train machine learning models. You need to compute target on which to remotely run the training script. <br \/>\r<br>You run the following Python code: <br \/>\r<br><br><img decoding=\"async\" width=650 height=81 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image134.jpg\" v:shapes=\"_x0000_i1093\"><br><br \/>\r<br>For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=649 height=238 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image136.jpg\" v:shapes=\"_x0000_i1094\"><br><\/div><input type='hidden' name='question_id[]' id='qID_49' value='150400' \/><input type='hidden' id='answerType150400' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150400[]' id='textarea_q_150400' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-50' style=';'><div id='questionWrap-50'  class='   watupro-question-id-150401'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>50. <\/span>You create an Azure Machine Learning compute resource to train models. <br \/>\r<br>The compute resource is configured as follows: <br \/>\r<br>- Minimum nodes: 2 <br \/>\r<br>- Maximum nodes: 4 <br \/>\r<br>You must decrease the minimum number of nodes and increase the maximum number of nodes to the following values: <br \/>\r<br>- Minimum nodes: 0 <br \/>\r<br>- Maximum nodes: 8 <br \/>\r<br>You need to reconfigure the compute resource. <br \/>\r<br>What are three possible ways to achieve this goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.<\/div><input type='hidden' name='question_id[]' id='qID_50' value='150401' \/><input type='hidden' id='answerType150401' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150401[]' id='answer-id-611696' class='answer   answerof-150401 ' value='611696'   \/><label for='answer-id-611696' id='answer-label-611696' class=' answer'><span>Use the Azure Machine Learning studio.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150401[]' id='answer-id-611697' class='answer   answerof-150401 ' value='611697'   \/><label for='answer-id-611697' id='answer-label-611697' class=' answer'><span>Run the update method of the AmlCompute class in the Python SD<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150401[]' id='answer-id-611698' class='answer   answerof-150401 ' value='611698'   \/><label for='answer-id-611698' id='answer-label-611698' class=' answer'><span>Use the Azure portal.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150401[]' id='answer-id-611699' class='answer   answerof-150401 ' value='611699'   \/><label for='answer-id-611699' id='answer-label-611699' class=' answer'><span>Use the Azure Machine Learning designer.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150401[]' id='answer-id-611700' class='answer   answerof-150401 ' value='611700'   \/><label for='answer-id-611700' id='answer-label-611700' class=' answer'><span>Run the refresh_state() method of the BatchCompute class in the Python SD<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-51' style=';'><div id='questionWrap-51'  class='   watupro-question-id-150402'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>51. <\/span>HOTSPOT <br \/>\r<br>You have an Azure blob container that contains a set of TSV files. The Azure blob container is registered as a datastore for an Azure Machine Learning service workspace. Each TSV file uses the same data schema. <br \/>\r<br>You plan to aggregate data for all of the TSV files together and then register the aggregated data as a dataset in an Azure Machine Learning workspace by using the Azure Machine Learning SDK for Python. <br \/>\r<br>You run the following code. <br \/>\r<br><br><img decoding=\"async\" width=650 height=127 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image142.jpg\" v:shapes=\"_x0000_i1097\"><br><br \/>\r<br>For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=650 height=299 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image144.jpg\" v:shapes=\"_x0000_i1098\"><br><\/div><input type='hidden' name='question_id[]' id='qID_51' value='150402' \/><input type='hidden' id='answerType150402' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150402[]' id='textarea_q_150402' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-52' style=';'><div id='questionWrap-52'  class='   watupro-question-id-150403'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>52. <\/span>You create a new Azure subscription. No resources are provisioned in the subscription. <br \/>\r<br>You need to create an Azure Machine Learning workspace. <br \/>\r<br>What are three possible ways to achieve this goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.<\/div><input type='hidden' name='question_id[]' id='qID_52' value='150403' \/><input type='hidden' id='answerType150403' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150403[]' id='answer-id-611702' class='answer   answerof-150403 ' value='611702'   \/><label for='answer-id-611702' id='answer-label-611702' class=' answer'><span>Run Python code that uses the Azure ML SDK library and calls the Workspace.create method with name, subscription_id, resource_group, and location parameters.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150403[]' id='answer-id-611703' class='answer   answerof-150403 ' value='611703'   \/><label for='answer-id-611703' id='answer-label-611703' class=' answer'><span>Use an Azure Resource Management template that includes a Microsoft.MachineLearningServices\/ workspaces resource and its dependencies.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150403[]' id='answer-id-611704' class='answer   answerof-150403 ' value='611704'   \/><label for='answer-id-611704' id='answer-label-611704' class=' answer'><span>Use the Azure Command Line Interface (CLI) with the Azure Machine Learning extension to call the az group create function with --name and --location parameters, and then the az ml workspace create function, specifying Cw and Cg parameters for the workspace name and resource group.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150403[]' id='answer-id-611705' class='answer   answerof-150403 ' value='611705'   \/><label for='answer-id-611705' id='answer-label-611705' class=' answer'><span>Navigate to Azure Machine Learning studio and create a workspace.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150403[]' id='answer-id-611706' class='answer   answerof-150403 ' value='611706'   \/><label for='answer-id-611706' id='answer-label-611706' class=' answer'><span>Run Python code that uses the Azure ML SDK library and calls the Workspace.get method with name, subscription_id, and resource_group parameters.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-53' style=';'><div id='questionWrap-53'  class='   watupro-question-id-150404'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>53. <\/span>HOTSPOT <br \/>\r<br>You use Azure Machine Learning to train and register a model. <br \/>\r<br>You must deploy the model into production as a real-time web service to an inference cluster named service-compute that the IT department has created in the Azure Machine Learning workspace. <br \/>\r<br>Client applications consuming the deployed web service must be authenticated based on their Azure Active Directory service principal. <br \/>\r<br>You need to write a script that uses the Azure Machine Learning SDK to deploy the model. The necessary modules have been imported. <br \/>\r<br>How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=649 height=326 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image150.jpg\" v:shapes=\"_x0000_i1101\"><br><\/div><input type='hidden' name='question_id[]' id='qID_53' value='150404' \/><input type='hidden' id='answerType150404' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150404[]' id='textarea_q_150404' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-54' style=';'><div id='questionWrap-54'  class='   watupro-question-id-150405'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>54. <\/span>An organization creates and deploys a multi-class image classification deep learning model that uses a set of labeled photographs. <br \/>\r<br>The software engineering team reports there is a heavy inferencing load for the prediction web services during the summer. The production web service for the model fails to meet demand despite having a fully-utilized compute cluster where the web service is deployed. <br \/>\r<br>You need to improve performance of the image classification web service with minimal downtime and minimal administrative effort. <br \/>\r<br>What should you advise the IT Operations team to do?<\/div><input type='hidden' name='question_id[]' id='qID_54' value='150405' \/><input type='hidden' id='answerType150405' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150405[]' id='answer-id-611708' class='answer   answerof-150405 ' value='611708'   \/><label for='answer-id-611708' id='answer-label-611708' class=' answer'><span>Create a new compute cluster by using larger VM sizes for the nodes, redeploy the web service to that cluster, and update the DNS registration for the service endpoint to point to the new cluster.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150405[]' id='answer-id-611709' class='answer   answerof-150405 ' value='611709'   \/><label for='answer-id-611709' id='answer-label-611709' class=' answer'><span>Increase the node count of the compute cluster where the web service is deployed.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150405[]' id='answer-id-611710' class='answer   answerof-150405 ' value='611710'   \/><label for='answer-id-611710' id='answer-label-611710' class=' answer'><span>Increase the minimum node count of the compute cluster where the web service is deployed.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150405[]' id='answer-id-611711' class='answer   answerof-150405 ' value='611711'   \/><label for='answer-id-611711' id='answer-label-611711' class=' answer'><span>Increase the VM size of nodes in the compute cluster where the web service is deployed.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-55' style=';'><div id='questionWrap-55'  class='   watupro-question-id-150406'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>55. <\/span>You create a batch inference pipeline by using the Azure ML SDK. <br \/>\r<br>You configure the pipeline parameters by executing the following code: <br \/>\r<br><br><img decoding=\"async\" width=601 height=215 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image154.jpg\" v:shapes=\"_x0000_i1103\"><br><br \/>\r<br>You need to obtain the output from the pipeline execution. <br \/>\r<br>Where will you find the output?<\/div><input type='hidden' name='question_id[]' id='qID_55' value='150406' \/><input type='hidden' id='answerType150406' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150406[]' id='answer-id-611712' class='answer   answerof-150406 ' value='611712'   \/><label for='answer-id-611712' id='answer-label-611712' class=' answer'><span>the digit_identification.py script<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150406[]' id='answer-id-611713' class='answer   answerof-150406 ' value='611713'   \/><label for='answer-id-611713' id='answer-label-611713' class=' answer'><span>the debug log<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150406[]' id='answer-id-611714' class='answer   answerof-150406 ' value='611714'   \/><label for='answer-id-611714' id='answer-label-611714' class=' answer'><span>the Activity Log in the Azure portal for the Machine Learning workspace<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150406[]' id='answer-id-611715' class='answer   answerof-150406 ' value='611715'   \/><label for='answer-id-611715' id='answer-label-611715' class=' answer'><span>the Inference Clusters tab in Machine Learning studio<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150406[]' id='answer-id-611716' class='answer   answerof-150406 ' value='611716'   \/><label for='answer-id-611716' id='answer-label-611716' class=' answer'><span>a file named parallel_run_step.txt located in the output folder<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-56' style=';'><div id='questionWrap-56'  class='   watupro-question-id-150407'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>56. <\/span>You use Azure Machine Learning designer to create a real-time service endpoint. You have a single Azure Machine Learning service compute resource. <br \/>\r<br>You train the model and prepare the real-time pipeline for deployment. <br \/>\r<br>You need to publish the inference pipeline as a web service. <br \/>\r<br>Which compute type should you use?<\/div><input type='hidden' name='question_id[]' id='qID_56' value='150407' \/><input type='hidden' id='answerType150407' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150407[]' id='answer-id-611717' class='answer   answerof-150407 ' value='611717'   \/><label for='answer-id-611717' id='answer-label-611717' class=' answer'><span>a new Machine Learning Compute resource<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150407[]' id='answer-id-611718' class='answer   answerof-150407 ' value='611718'   \/><label for='answer-id-611718' id='answer-label-611718' class=' answer'><span>Azure Kubernetes Services<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150407[]' id='answer-id-611719' class='answer   answerof-150407 ' value='611719'   \/><label for='answer-id-611719' id='answer-label-611719' class=' answer'><span>HDInsight<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150407[]' id='answer-id-611720' class='answer   answerof-150407 ' value='611720'   \/><label for='answer-id-611720' id='answer-label-611720' class=' answer'><span>the existing Machine Learning Compute resource<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150407[]' id='answer-id-611721' class='answer   answerof-150407 ' value='611721'   \/><label for='answer-id-611721' id='answer-label-611721' class=' answer'><span>Azure Databricks<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-57' style=';'><div id='questionWrap-57'  class='   watupro-question-id-150408'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>57. <\/span>DRAG DROP <br \/>\r<br>You create a multi-class image classification deep learning model. <br \/>\r<br>The model must be retrained monthly with the new image data fetched from a public web portal. You create an Azure Machine Learning pipeline to fetch new data, standardize the size of images, and retrain the model. <br \/>\r<br>You need to use the Azure Machine Learning SDK to configure the schedule for the pipeline. <br \/>\r<br>Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. <br \/>\r<br><br><img decoding=\"async\" width=650 height=490 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image156.jpg\" v:shapes=\"_x0000_i1104\"><br><\/div><input type='hidden' name='question_id[]' id='qID_57' value='150408' \/><input type='hidden' id='answerType150408' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150408[]' id='textarea_q_150408' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-58' style=';'><div id='questionWrap-58'  class='   watupro-question-id-150409'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>58. <\/span>HOTSPOT <br \/>\r<br>You create a script for training a machine learning model in Azure Machine Learning service. <br \/>\r<br>You create an estimator by running the following code: <br \/>\r<br><br><img decoding=\"async\" width=650 height=203 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image160.jpg\" v:shapes=\"_x0000_i1106\"><br><br \/>\r<br>For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=650 height=263 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image162.jpg\" v:shapes=\"_x0000_i1107\"><br><\/div><input type='hidden' name='question_id[]' id='qID_58' value='150409' \/><input type='hidden' id='answerType150409' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-150409[]' id='textarea_q_150409' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-59' style=';'><div id='questionWrap-59'  class='   watupro-question-id-150410'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>59. <\/span>You plan to run a script as an experiment using a Script Run Configuration. The script uses modules from the scipy library as well as several Python packages that are not typically installed in a default conda environment. <br \/>\r<br>You plan to run the experiment on your local workstation for small datasets and scale out the experiment by running it on more powerful remote compute clusters for larger datasets. <br \/>\r<br>You need to ensure that the experiment runs successfully on local and remote compute with the least administrative effort. <br \/>\r<br>What should you do?<\/div><input type='hidden' name='question_id[]' id='qID_59' value='150410' \/><input type='hidden' id='answerType150410' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150410[]' id='answer-id-611724' class='answer   answerof-150410 ' value='611724'   \/><label for='answer-id-611724' id='answer-label-611724' class=' answer'><span>Do not specify an environment in the run configuration for the experiment. Run the experiment by using the default environment.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150410[]' id='answer-id-611725' class='answer   answerof-150410 ' value='611725'   \/><label for='answer-id-611725' id='answer-label-611725' class=' answer'><span>Create a virtual machine (VM) with the required Python configuration and attach the VM as a compute target. Use this compute target for all experiment runs.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150410[]' id='answer-id-611726' class='answer   answerof-150410 ' value='611726'   \/><label for='answer-id-611726' id='answer-label-611726' class=' answer'><span>Create and register an Environment that includes the required packages. Use this Environment for all experiment runs.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150410[]' id='answer-id-611727' class='answer   answerof-150410 ' value='611727'   \/><label for='answer-id-611727' id='answer-label-611727' class=' answer'><span>Create a config.yaml file defining the conda packages that are required and save the file in the experiment folder.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150410[]' id='answer-id-611728' class='answer   answerof-150410 ' value='611728'   \/><label for='answer-id-611728' id='answer-label-611728' class=' answer'><span>Always run the experiment with an Estimator by using the default packages.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-60' style=';'><div id='questionWrap-60'  class='   watupro-question-id-150411'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>60. <\/span>You write a Python script that processes data in a comma-separated values (CSV) file. <br \/>\r<br>You plan to run this script as an Azure Machine Learning experiment. <br \/>\r<br>The script loads the data and determines the number of rows it contains using the following code: <br \/>\r<br><br><img decoding=\"async\" width=315 height=152 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2020\/10\/image166.jpg\" v:shapes=\"_x0000_i1109\"><br><br \/>\r<br>You need to record the row count as a metric named row_count that can be returned using the get_metrics method of the Run object after the experiment run completes. <br \/>\r<br>Which code should you use?<\/div><input type='hidden' name='question_id[]' id='qID_60' value='150411' \/><input type='hidden' id='answerType150411' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150411[]' id='answer-id-611729' class='answer   answerof-150411 ' value='611729'   \/><label for='answer-id-611729' id='answer-label-611729' class=' answer'><span>run.upload_file(\u2018row_count\u2019, \u2018.\/data.csv\u2019)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150411[]' id='answer-id-611730' class='answer   answerof-150411 ' value='611730'   \/><label for='answer-id-611730' id='answer-label-611730' class=' answer'><span>run.log(\u2018row_count\u2019, rows)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150411[]' id='answer-id-611731' class='answer   answerof-150411 ' value='611731'   \/><label for='answer-id-611731' id='answer-label-611731' class=' answer'><span>run.tag(\u2018row_count\u2019, rows)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150411[]' id='answer-id-611732' class='answer   answerof-150411 ' value='611732'   \/><label for='answer-id-611732' id='answer-label-611732' class=' answer'><span>run.log_table(\u2018row_count\u2019, rows)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-150411[]' id='answer-id-611733' class='answer   answerof-150411 ' value='611733'   \/><label for='answer-id-611733' id='answer-label-611733' class=' answer'><span>run.log_row(\u2018row_count\u2019, rows)<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div style='display:none' id='question-61'>\n\t<div class='question-content'>\n\t\t<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/plugins\/watupro\/img\/loading.gif\" width=\"16\" height=\"16\" alt=\"Loading...\" title=\"Loading...\" \/>&nbsp;Loading...\t<\/div>\n<\/div>\n\n<br \/>\n\t\n\t\t\t<div class=\"watupro_buttons flex \" id=\"watuPROButtons4711\" >\n\t\t  <div id=\"prev-question\" style=\"display:none;\"><input type=\"button\" value=\"&lt; 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