{"id":106109,"date":"2025-07-19T03:54:45","date_gmt":"2025-07-19T03:54:45","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=106109"},"modified":"2025-07-22T03:28:20","modified_gmt":"2025-07-22T03:28:20","slug":"prepare-effectively-with-the-most-current-dp-100-dumps-v22-02-check-the-dp-100-free-dumps-part-2-q41-q80-online","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/prepare-effectively-with-the-most-current-dp-100-dumps-v22-02-check-the-dp-100-free-dumps-part-2-q41-q80-online.html","title":{"rendered":"Prepare Effectively with the Most Current DP-100 Dumps (V22.02): Check the DP-100 Free Dumps (Part 2, Q41-Q80) Online"},"content":{"rendered":"<p>Have you read the <a href=\"https:\/\/www.dumpsbase.com\/freedumps\/microsoft-dp-100-dumps-v22-02-should-be-your-pathway-to-quick-success-check-dp-100-free-dumps-part-1-q1-q40.html\"><em><strong>DP-100 free dumps (Part 1, Q1-Q40) of V22.02<\/strong><\/em><\/a>? Our DP-100 dumps (V22.02) are the most current version, covering all the Designing and Implementing a Data Science Solution on Azure exam topics and concepts to ensure success. From these demo questions, you can find that our focused content helps you prepare efficiently without wasting time on irrelevant topics. Trust DumpsBase, our DP-100 exam dumps provide a structured approach to mastering the essential skills required for the certification. Today, we will continue to share the free demo questions to verify our dumps.<\/p>\n<h2>Microsoft <em><span style=\"background-color: #00ffff;\">DP-100 free dumps (Part 2, Q41-Q80) of V22.02<\/span><\/em> are available below:<\/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=\"submittingExam10093\" 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-10093\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-10093\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-400927'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>DRAG DROP <br \/>\r<br>You have a dataset that contains over 150 features. You use the dataset to train a Support Vector Machine (SVM) binary classifier. <br \/>\r<br>You need to use the Permutation Feature Importance module in Azure Machine Learning Studio to compute a set of feature importance scores for the dataset. <br \/>\r<br>In which order should you perform the actions? To answer, move all 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=275 id=\"\u56fe\u7247 203\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image046-8.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_1' value='400927' \/><input type='hidden' id='answerType400927' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-400927[]' id='textarea_q_400927' 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-2' style=';'><div id='questionWrap-2'  class='   watupro-question-id-400928'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>HOTSPOT <br \/>\r<br>You are creating a machine learning model in Python. The provided dataset contains several numerical columns and one text column. The text column represents a product's category. <br \/>\r<br>The product category will always be one of the following: <br \/>\r<br>&#10001; Bikes <br \/>\r<br>&#10001; Cars <br \/>\r<br>&#10001; Vans <br \/>\r<br>&#10001; Boats <br \/>\r<br>You are building a regression model using the scikit-learn Python package. <br \/>\r<br>You need to transform the text data to be compatible with the scikit-learn Python package. <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=428 id=\"\u56fe\u7247 274\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image048-7.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_2' value='400928' \/><input type='hidden' id='answerType400928' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-400928[]' id='textarea_q_400928' 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-3' style=';'><div id='questionWrap-3'  class='   watupro-question-id-400929'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>HOTSPOT <br \/>\r<br>You create a binary classification model to predict whether a person has a disease. <br \/>\r<br>You need to detect possible classification errors. <br \/>\r<br>Which error type should you choose for each description? 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=663 id=\"\u56fe\u7247 209\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image050-8.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_3' value='400929' \/><input type='hidden' id='answerType400929' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-400929[]' id='textarea_q_400929' 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-400930'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>You plan to use a Data Science Virtual Machine (DSVM) with the open source deep learning frameworks Caffe2 and Theano. You need to select a pre configured DSVM to support the framework. <br \/>\r<br>What should you create?<\/div><input type='hidden' name='question_id[]' id='qID_4' value='400930' \/><input type='hidden' id='answerType400930' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400930[]' id='answer-id-1556833' class='answer   answerof-400930 ' value='1556833'   \/><label for='answer-id-1556833' id='answer-label-1556833' class=' answer'><span>Data Science Virtual Machine for Linux (CentOS)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400930[]' id='answer-id-1556834' class='answer   answerof-400930 ' value='1556834'   \/><label for='answer-id-1556834' id='answer-label-1556834' class=' answer'><span>Data Science Virtual Machine for Windows 2012<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400930[]' id='answer-id-1556835' class='answer   answerof-400930 ' value='1556835'   \/><label for='answer-id-1556835' id='answer-label-1556835' class=' answer'><span>Data Science Virtual Machine for Windows 2016<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400930[]' id='answer-id-1556836' class='answer   answerof-400930 ' value='1556836'   \/><label for='answer-id-1556836' id='answer-label-1556836' class=' answer'><span>Geo AI Data Science Virtual Machine with ArcGIS<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400930[]' id='answer-id-1556837' class='answer   answerof-400930 ' value='1556837'   \/><label for='answer-id-1556837' id='answer-label-1556837' 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-5' style=';'><div id='questionWrap-5'  class='   watupro-question-id-400931'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>You are a data scientist creating a linear regression model. <br \/>\r<br>You need to determine how closely the data fits the regression line. <br \/>\r<br>Which metric should you review?<\/div><input type='hidden' name='question_id[]' id='qID_5' value='400931' \/><input type='hidden' id='answerType400931' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400931[]' id='answer-id-1556838' class='answer   answerof-400931 ' value='1556838'   \/><label for='answer-id-1556838' id='answer-label-1556838' class=' answer'><span>Coefficient of determination<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400931[]' id='answer-id-1556839' class='answer   answerof-400931 ' value='1556839'   \/><label for='answer-id-1556839' id='answer-label-1556839' class=' answer'><span>Recall<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400931[]' id='answer-id-1556840' class='answer   answerof-400931 ' value='1556840'   \/><label for='answer-id-1556840' id='answer-label-1556840' class=' answer'><span>Precision<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400931[]' id='answer-id-1556841' class='answer   answerof-400931 ' value='1556841'   \/><label for='answer-id-1556841' id='answer-label-1556841' class=' answer'><span>Mean absolute error<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400931[]' id='answer-id-1556842' class='answer   answerof-400931 ' value='1556842'   \/><label for='answer-id-1556842' id='answer-label-1556842' class=' answer'><span>Root Mean Square Error<\/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-400932'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/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_6' value='400932' \/><input type='hidden' id='answerType400932' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400932[]' id='answer-id-1556843' class='answer   answerof-400932 ' value='1556843'   \/><label for='answer-id-1556843' id='answer-label-1556843' class=' answer'><span>Intel Software Guard Extensions (Intel SGX) technology<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400932[]' id='answer-id-1556844' class='answer   answerof-400932 ' value='1556844'   \/><label for='answer-id-1556844' id='answer-label-1556844' class=' answer'><span>Solid State Drives (SSD)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400932[]' id='answer-id-1556845' class='answer   answerof-400932 ' value='1556845'   \/><label for='answer-id-1556845' id='answer-label-1556845' class=' answer'><span>Graphic Processing Unit (GPU)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400932[]' id='answer-id-1556846' class='answer   answerof-400932 ' value='1556846'   \/><label for='answer-id-1556846' id='answer-label-1556846' class=' answer'><span>Computer Processing Unit (CPU) speed increase by using overcloking<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400932[]' id='answer-id-1556847' class='answer   answerof-400932 ' value='1556847'   \/><label for='answer-id-1556847' id='answer-label-1556847' class=' answer'><span>High Random Access Memory (RAM) configuration<\/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-400933'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/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>&#10001; Build deep neural network (DNN) models <br \/>\r<br>&#10001; 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=649 height=259 id=\"\u56fe\u7247 215\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image052-8.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_7' value='400933' \/><input type='hidden' id='answerType400933' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-400933[]' id='textarea_q_400933' 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-8' style=';'><div id='questionWrap-8'  class='   watupro-question-id-400934'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>HOTSPOT <br \/>\r<br>You use Data Science Virtual Machines (DSVMs) for Windows and Linux in Azure. <br \/>\r<br>You need to access the DSVMs. <br \/>\r<br>Which utilities 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=503 height=354 id=\"\u56fe\u7247 558\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image054-5.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_8' value='400934' \/><input type='hidden' id='answerType400934' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-400934[]' id='textarea_q_400934' 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-9' style=';'><div id='questionWrap-9'  class='   watupro-question-id-400935'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>You need to select a pre built development environment for a series of data science experiments. You must use the R language for the experiments. <br \/>\r<br>Which three environments 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_9' value='400935' \/><input type='hidden' id='answerType400935' 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-400935[]' id='answer-id-1556850' class='answer   answerof-400935 ' value='1556850'   \/><label for='answer-id-1556850' id='answer-label-1556850' class=' answer'><span>M<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400935[]' id='answer-id-1556851' class='answer   answerof-400935 ' value='1556851'   \/><label for='answer-id-1556851' id='answer-label-1556851' class=' answer'><span>NET Library on a local environment<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400935[]' id='answer-id-1556852' class='answer   answerof-400935 ' value='1556852'   \/><label for='answer-id-1556852' id='answer-label-1556852' class=' answer'><span>Azure Machine Learning Studio<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400935[]' id='answer-id-1556853' class='answer   answerof-400935 ' value='1556853'   \/><label for='answer-id-1556853' id='answer-label-1556853' class=' answer'><span>Data Science Virtual Machine (OSVM)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400935[]' id='answer-id-1556854' class='answer   answerof-400935 ' value='1556854'   \/><label for='answer-id-1556854' id='answer-label-1556854' class=' answer'><span>Azure Data bricks<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400935[]' id='answer-id-1556855' class='answer   answerof-400935 ' value='1556855'   \/><label for='answer-id-1556855' id='answer-label-1556855' class=' answer'><span>Azure Cognitive Services<\/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-400936'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/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_10' value='400936' \/><input type='hidden' id='answerType400936' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400936[]' id='answer-id-1556856' class='answer   answerof-400936 ' value='1556856'   \/><label for='answer-id-1556856' id='answer-label-1556856' class=' answer'><span>Apache Drill<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400936[]' id='answer-id-1556857' class='answer   answerof-400936 ' value='1556857'   \/><label for='answer-id-1556857' id='answer-label-1556857' class=' answer'><span>Tensorflow<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400936[]' id='answer-id-1556858' class='answer   answerof-400936 ' value='1556858'   \/><label for='answer-id-1556858' id='answer-label-1556858' class=' answer'><span>Rattle<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400936[]' id='answer-id-1556859' class='answer   answerof-400936 ' value='1556859'   \/><label for='answer-id-1556859' id='answer-label-1556859' class=' answer'><span>Weka<\/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-400937'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/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_11' value='400937' \/><input type='hidden' id='answerType400937' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400937[]' id='answer-id-1556860' class='answer   answerof-400937 ' value='1556860'   \/><label for='answer-id-1556860' id='answer-label-1556860' class=' answer'><span>Azure Data Lake Analytics<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400937[]' id='answer-id-1556861' class='answer   answerof-400937 ' value='1556861'   \/><label for='answer-id-1556861' id='answer-label-1556861' class=' answer'><span>Azure Databrick .<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400937[]' id='answer-id-1556862' class='answer   answerof-400937 ' value='1556862'   \/><label for='answer-id-1556862' id='answer-label-1556862' class=' answer'><span>Apache Spark for HDInsight.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400937[]' id='answer-id-1556863' class='answer   answerof-400937 ' value='1556863'   \/><label for='answer-id-1556863' id='answer-label-1556863' class=' answer'><span>Azure Container Service<\/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-400938'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/span>You are creating a new experiment in Azure Machine Learning Studio. You have a small dataset that has missing values in many columns. The data does not require the application of predictors for each column. You plan to use the Clean Missing Data module to handle the missing data. <br \/>\r<br>You need to select a data cleaning method. <br \/>\r<br>Which method should you use?<\/div><input type='hidden' name='question_id[]' id='qID_12' value='400938' \/><input type='hidden' id='answerType400938' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400938[]' id='answer-id-1556864' class='answer   answerof-400938 ' value='1556864'   \/><label for='answer-id-1556864' id='answer-label-1556864' class=' answer'><span>Synthetic Minority Oversampling Technique (SMOTE)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400938[]' id='answer-id-1556865' class='answer   answerof-400938 ' value='1556865'   \/><label for='answer-id-1556865' id='answer-label-1556865' class=' answer'><span>Replace using MICE<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400938[]' id='answer-id-1556866' class='answer   answerof-400938 ' value='1556866'   \/><label for='answer-id-1556866' id='answer-label-1556866' class=' answer'><span>Replace using; Probabilistic PCA<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400938[]' id='answer-id-1556867' class='answer   answerof-400938 ' value='1556867'   \/><label for='answer-id-1556867' id='answer-label-1556867' class=' answer'><span>Normalization<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-13' style=';'><div id='questionWrap-13'  class='   watupro-question-id-400939'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/span>You are determining if two sets of data are significantly different from one another by using Azure Machine Learning Studio. <br \/>\r<br>Estimated values in one set of data may be more than or less than reference values in the other set of data. You must produce a distribution that has a constant Type I error as a function of the correlation. <br \/>\r<br>You need to produce the distribution. <br \/>\r<br>Which type of distribution should you produce?<\/div><input type='hidden' name='question_id[]' id='qID_13' value='400939' \/><input type='hidden' id='answerType400939' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400939[]' id='answer-id-1556868' class='answer   answerof-400939 ' value='1556868'   \/><label for='answer-id-1556868' id='answer-label-1556868' class=' answer'><span>Paired t-test with a two-tail option<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400939[]' id='answer-id-1556869' class='answer   answerof-400939 ' value='1556869'   \/><label for='answer-id-1556869' id='answer-label-1556869' class=' answer'><span>Unpaired t-test with a two tail option<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400939[]' id='answer-id-1556870' class='answer   answerof-400939 ' value='1556870'   \/><label for='answer-id-1556870' id='answer-label-1556870' class=' answer'><span>Paired t-test with a one-tail option<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400939[]' id='answer-id-1556871' class='answer   answerof-400939 ' value='1556871'   \/><label for='answer-id-1556871' id='answer-label-1556871' class=' answer'><span>Unpaired t-test with a one-tail option<\/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-400940'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/span>HOTSPOT <br \/>\r<br>You are developing a machine learning, experiment by using Azure. <br \/>\r<br>The following images show the input and output of a machine learning experiment: <br \/>\r<br><br><img decoding=\"async\" width=649 height=182 id=\"\u56fe\u7247 244\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image057-7.jpg\"><br><br \/>\r<br>Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=489 height=101 id=\"\u56fe\u7247 245\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image058-7.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_14' value='400940' \/><input type='hidden' id='answerType400940' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-400940[]' id='textarea_q_400940' 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-15' style=';'><div id='questionWrap-15'  class='   watupro-question-id-400941'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>You are creating a machine learning model. <br \/>\r<br>You need to identify outliers in the data. <br \/>\r<br>Which two visualizations can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. NOTE: Each correct selection is worth one point.<\/div><input type='hidden' name='question_id[]' id='qID_15' value='400941' \/><input type='hidden' id='answerType400941' 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-400941[]' id='answer-id-1556873' class='answer   answerof-400941 ' value='1556873'   \/><label for='answer-id-1556873' id='answer-label-1556873' class=' answer'><span>box plot<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400941[]' id='answer-id-1556874' class='answer   answerof-400941 ' value='1556874'   \/><label for='answer-id-1556874' id='answer-label-1556874' class=' answer'><span>scatter<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400941[]' id='answer-id-1556875' class='answer   answerof-400941 ' value='1556875'   \/><label for='answer-id-1556875' id='answer-label-1556875' class=' answer'><span>random forest diagram<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400941[]' id='answer-id-1556876' class='answer   answerof-400941 ' value='1556876'   \/><label for='answer-id-1556876' id='answer-label-1556876' class=' answer'><span>Venn diagram<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400941[]' id='answer-id-1556877' class='answer   answerof-400941 ' value='1556877'   \/><label for='answer-id-1556877' id='answer-label-1556877' class=' answer'><span>ROC curve<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-16' style=';'><div id='questionWrap-16'  class='   watupro-question-id-400942'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>HOTSPOT <br \/>\r<br>You arc I mating a deep learning model to identify cats and dogs. You have 25,000 color images. <br \/>\r<br>You must meet the following requirements: <br \/>\r<br>&#8226; Reduce the number of training epochs. <br \/>\r<br>&#8226; Reduce the size of the neural network. <br \/>\r<br>&#8226; Reduce over-fitting of the neural network. <br \/>\r<br>You need to select the image modification values. <br \/>\r<br>Which value 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=316 height=111 id=\"\u56fe\u7247 323\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image060-5.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_16' value='400942' \/><input type='hidden' id='answerType400942' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-400942[]' id='textarea_q_400942' 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-17' style=';'><div id='questionWrap-17'  class='   watupro-question-id-400943'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/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 id=\"\u56fe\u7247 231\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image062-7.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_17' value='400943' \/><input type='hidden' id='answerType400943' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-400943[]' id='textarea_q_400943' 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-18' style=';'><div id='questionWrap-18'  class='   watupro-question-id-400944'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/span>You are analyzing a dataset by using Azure Machine Learning Studio. <br \/>\r<br>YOU need to generate a statistical summary that contains the p value and the unique value count for each feature column. <br \/>\r<br>Which two modules can you users? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.<\/div><input type='hidden' name='question_id[]' id='qID_18' value='400944' \/><input type='hidden' id='answerType400944' 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-400944[]' id='answer-id-1556880' class='answer   answerof-400944 ' value='1556880'   \/><label for='answer-id-1556880' id='answer-label-1556880' class=' answer'><span>Execute Python Script<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400944[]' id='answer-id-1556881' class='answer   answerof-400944 ' value='1556881'   \/><label for='answer-id-1556881' id='answer-label-1556881' class=' answer'><span>Export Count Table<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400944[]' id='answer-id-1556882' class='answer   answerof-400944 ' value='1556882'   \/><label for='answer-id-1556882' id='answer-label-1556882' class=' answer'><span>Convert to Indicator Values<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400944[]' id='answer-id-1556883' class='answer   answerof-400944 ' value='1556883'   \/><label for='answer-id-1556883' id='answer-label-1556883' class=' answer'><span>Summarize Data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400944[]' id='answer-id-1556884' class='answer   answerof-400944 ' value='1556884'   \/><label for='answer-id-1556884' id='answer-label-1556884' class=' answer'><span>Compute linear Correlation<\/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-400945'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>You are building a binary classification model by using a supplied training set. <br \/>\r<br>The training set is imbalanced between two classes. <br \/>\r<br>You need to resolve the data imbalance. <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_19' value='400945' \/><input type='hidden' id='answerType400945' 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-400945[]' id='answer-id-1556885' class='answer   answerof-400945 ' value='1556885'   \/><label for='answer-id-1556885' id='answer-label-1556885' class=' answer'><span>Penalize the classification<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400945[]' id='answer-id-1556886' class='answer   answerof-400945 ' value='1556886'   \/><label for='answer-id-1556886' id='answer-label-1556886' class=' answer'><span>Resample the data set using under sampling or oversampling<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400945[]' id='answer-id-1556887' class='answer   answerof-400945 ' value='1556887'   \/><label for='answer-id-1556887' id='answer-label-1556887' class=' answer'><span>Generate synthetic samples in the minority class.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400945[]' id='answer-id-1556888' class='answer   answerof-400945 ' value='1556888'   \/><label for='answer-id-1556888' id='answer-label-1556888' class=' answer'><span>Use accuracy as the evaluation metric of the model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400945[]' id='answer-id-1556889' class='answer   answerof-400945 ' value='1556889'   \/><label for='answer-id-1556889' id='answer-label-1556889' class=' answer'><span>Normalize the training feature set.<\/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-400946'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>You are building recurrent neural network to perform a binary classification. <br \/>\r<br>The training loss, validation loss, training accuracy, and validation accuracy of each training epoch has been provided. You need to identify whether the classification model is over fitted. <br \/>\r<br>Which of the following is correct?<\/div><input type='hidden' name='question_id[]' id='qID_20' value='400946' \/><input type='hidden' id='answerType400946' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400946[]' id='answer-id-1556890' class='answer   answerof-400946 ' value='1556890'   \/><label for='answer-id-1556890' id='answer-label-1556890' class=' answer'><span>The training loss increases while the validation loss decreases when training the model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400946[]' id='answer-id-1556891' class='answer   answerof-400946 ' value='1556891'   \/><label for='answer-id-1556891' id='answer-label-1556891' class=' answer'><span>The training loss decreases while the validation loss increases when training the model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400946[]' id='answer-id-1556892' class='answer   answerof-400946 ' value='1556892'   \/><label for='answer-id-1556892' id='answer-label-1556892' class=' answer'><span>The training loss stays constant and the validation loss decreases when training the model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400946[]' id='answer-id-1556893' class='answer   answerof-400946 ' value='1556893'   \/><label for='answer-id-1556893' id='answer-label-1556893' class=' answer'><span>The training loss .stays constant and the validation loss stays on a constant value and close to the training loss value when training the model.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-21' style=';'><div id='questionWrap-21'  class='   watupro-question-id-400947'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/span>You are analyzing a dataset containing historical data from a local taxi company. You arc developing a regression 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_21' value='400947' \/><input type='hidden' id='answerType400947' 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-400947[]' id='answer-id-1556894' class='answer   answerof-400947 ' value='1556894'   \/><label for='answer-id-1556894' id='answer-label-1556894' class=' answer'><span>an F1 score that is high<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400947[]' id='answer-id-1556895' class='answer   answerof-400947 ' value='1556895'   \/><label for='answer-id-1556895' id='answer-label-1556895' class=' answer'><span>an R Squared value dose to 1<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400947[]' id='answer-id-1556896' class='answer   answerof-400947 ' value='1556896'   \/><label for='answer-id-1556896' id='answer-label-1556896' 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-400947[]' id='answer-id-1556897' class='answer   answerof-400947 ' value='1556897'   \/><label for='answer-id-1556897' id='answer-label-1556897' class=' answer'><span>a Root Mean Square Error value that is high<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400947[]' id='answer-id-1556898' class='answer   answerof-400947 ' value='1556898'   \/><label for='answer-id-1556898' id='answer-label-1556898' 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-400947[]' id='answer-id-1556899' class='answer   answerof-400947 ' value='1556899'   \/><label for='answer-id-1556899' id='answer-label-1556899' class=' answer'><span>an F 1 score that is low.<\/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-400948'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/span>You are evaluating a completed binary classification machine learning model. <br \/>\r<br>You need to use the precision as the valuation metric. <br \/>\r<br>Which visualization should you use?<\/div><input type='hidden' name='question_id[]' id='qID_22' value='400948' \/><input type='hidden' id='answerType400948' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400948[]' id='answer-id-1556900' class='answer   answerof-400948 ' value='1556900'   \/><label for='answer-id-1556900' id='answer-label-1556900' class=' answer'><span>Binary classification confusion matrix<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400948[]' id='answer-id-1556901' class='answer   answerof-400948 ' value='1556901'   \/><label for='answer-id-1556901' id='answer-label-1556901' class=' answer'><span>box plot<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400948[]' id='answer-id-1556902' class='answer   answerof-400948 ' value='1556902'   \/><label for='answer-id-1556902' id='answer-label-1556902' class=' answer'><span>Gradient descent<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400948[]' id='answer-id-1556903' class='answer   answerof-400948 ' value='1556903'   \/><label for='answer-id-1556903' id='answer-label-1556903' class=' answer'><span>coefficient of determination<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-23' style=';'><div id='questionWrap-23'  class='   watupro-question-id-400949'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/span>You create a classification model with a dataset that contains 100 samples with Class A and 10,000 samples with Class B <br \/>\r<br>The variation of Class B is very high. <br \/>\r<br>You need to resolve imbalances. <br \/>\r<br>Which method should you use?<\/div><input type='hidden' name='question_id[]' id='qID_23' value='400949' \/><input type='hidden' id='answerType400949' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400949[]' id='answer-id-1556904' class='answer   answerof-400949 ' value='1556904'   \/><label for='answer-id-1556904' id='answer-label-1556904' class=' answer'><span>Partition and Sample<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400949[]' id='answer-id-1556905' class='answer   answerof-400949 ' value='1556905'   \/><label for='answer-id-1556905' id='answer-label-1556905' class=' answer'><span>Cluster Centroids<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400949[]' id='answer-id-1556906' class='answer   answerof-400949 ' value='1556906'   \/><label for='answer-id-1556906' id='answer-label-1556906' class=' answer'><span>Tomek links<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400949[]' id='answer-id-1556907' class='answer   answerof-400949 ' value='1556907'   \/><label for='answer-id-1556907' id='answer-label-1556907' 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-24' style=';'><div id='questionWrap-24'  class='   watupro-question-id-400950'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/span>HOTSPOT <br \/>\r<br>You have a dataset that contains 2,000 rows. You are building a machine learning classification model by using Azure Learning Studio. You add a Partition and Sample module to the experiment. <br \/>\r<br>You need to configure the module. <br \/>\r<br>You must meet the following requirements: <br \/>\r<br>&#10001; Divide the data into subsets <br \/>\r<br>&#10001; Assign the rows into folds using a round-robin method <br \/>\r<br>&#10001; Allow rows in the dataset to be reused <br \/>\r<br>How should you configure the module? To answer, select the appropriate options in the dialog box in the answer area. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=563 height=251 id=\"\u56fe\u7247 321\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image064-7.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_24' value='400950' \/><input type='hidden' id='answerType400950' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-400950[]' id='textarea_q_400950' 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-400951'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/span>HOTSPOT <br \/>\r<br>You are using the Azure Machine Learning Service to automate hyperparameter exploration of your neural network classification model. <br \/>\r<br>You must define the hyperparameter space to automatically tune hyperparameters using random sampling according to following requirements: <br \/>\r<br>The learning rate must be selected from a normal distribution with a mean value of 10 and a standard deviation of 3. <br \/>\r<br>Batch size must be 16, 32 and 64. <br \/>\r<br>Keep probability must be a value selected from a uniform distribution between the range of 0.05 and 0.1. <br \/>\r<br>You need to use the param_sampling method of the Python API for the Azure Machine Learning Service. <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=449 id=\"\u56fe\u7247 70\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image066-5.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_25' value='400951' \/><input type='hidden' id='answerType400951' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-400951[]' id='textarea_q_400951' 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-400952'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/span>You are a data scientist building a deep convolutional neural network (CNN) for image classification. <br \/>\r<br>The CNN model you built shows signs of overfitting. <br \/>\r<br>You need to reduce overfitting and converge the model to an optimal fit. <br \/>\r<br>Which two actions should you 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_26' value='400952' \/><input type='hidden' id='answerType400952' 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-400952[]' id='answer-id-1556910' class='answer   answerof-400952 ' value='1556910'   \/><label for='answer-id-1556910' id='answer-label-1556910' class=' answer'><span>Reduce the amount of training data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400952[]' id='answer-id-1556911' class='answer   answerof-400952 ' value='1556911'   \/><label for='answer-id-1556911' id='answer-label-1556911' class=' answer'><span>Add an additional dense layer with 64 input units<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400952[]' id='answer-id-1556912' class='answer   answerof-400952 ' value='1556912'   \/><label for='answer-id-1556912' id='answer-label-1556912' class=' answer'><span>Add L1\/L2 regularization.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400952[]' id='answer-id-1556913' class='answer   answerof-400952 ' value='1556913'   \/><label for='answer-id-1556913' id='answer-label-1556913' class=' answer'><span>Use training data augmentation<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400952[]' id='answer-id-1556914' class='answer   answerof-400952 ' value='1556914'   \/><label for='answer-id-1556914' id='answer-label-1556914' class=' answer'><span>Add an additional dense layer with 512 input units.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-27' style=';'><div id='questionWrap-27'  class='   watupro-question-id-400953'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/span>You are with a time series dataset in Azure Machine Learning Studio. <br \/>\r<br>You need to split your dataset into training and testing subsets by using the Split Data module. <br \/>\r<br>Which splitting mode should you use?<\/div><input type='hidden' name='question_id[]' id='qID_27' value='400953' \/><input type='hidden' id='answerType400953' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400953[]' id='answer-id-1556915' class='answer   answerof-400953 ' value='1556915'   \/><label for='answer-id-1556915' id='answer-label-1556915' class=' answer'><span>Regular Expression Split<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400953[]' id='answer-id-1556916' class='answer   answerof-400953 ' value='1556916'   \/><label for='answer-id-1556916' id='answer-label-1556916' class=' answer'><span>Split Rows with the Randomized split parameter set to true<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400953[]' id='answer-id-1556917' class='answer   answerof-400953 ' value='1556917'   \/><label for='answer-id-1556917' id='answer-label-1556917' class=' answer'><span>Relative Expression Split<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400953[]' id='answer-id-1556918' class='answer   answerof-400953 ' value='1556918'   \/><label for='answer-id-1556918' id='answer-label-1556918' class=' answer'><span>Recommender Split<\/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-400954'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/span>HOTSPOT <br \/>\r<br>You create an experiment in Azure Machine Learning Studio- You add a training dataset that contains 10.000 rows. The first 9.000 rows represent class 0 (90 percent). The first 1.000 rows represent class 1 (10 percent). <br \/>\r<br>The training set is unbalanced between two Classes. You must increase the number of training examples for class 1 to 4,000 by using data rows. You add the Synthetic Minority Oversampling Technique (SMOTE) module to the experiment. <br \/>\r<br>You need to configure the module. <br \/>\r<br>Which values should you use? To answer, select the appropriate options in the dialog box in the answer area. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=619 height=236 id=\"\u56fe\u7247 187\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image068-6.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_28' value='400954' \/><input type='hidden' id='answerType400954' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-400954[]' id='textarea_q_400954' 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-29' style=';'><div id='questionWrap-29'  class='   watupro-question-id-400955'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>You are performing clustering by using the K-means algorithm. <br \/>\r<br>You need to define the possible termination conditions. <br \/>\r<br>Which three conditions 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_29' value='400955' \/><input type='hidden' id='answerType400955' 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-400955[]' id='answer-id-1556920' class='answer   answerof-400955 ' value='1556920'   \/><label for='answer-id-1556920' id='answer-label-1556920' class=' answer'><span>A fixed number of iterations is executed.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400955[]' id='answer-id-1556921' class='answer   answerof-400955 ' value='1556921'   \/><label for='answer-id-1556921' id='answer-label-1556921' class=' answer'><span>The residual sum of squares (RSS) rises above a threshold.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400955[]' id='answer-id-1556922' class='answer   answerof-400955 ' value='1556922'   \/><label for='answer-id-1556922' id='answer-label-1556922' class=' answer'><span>The sum of distances between centroids reaches a maximum.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400955[]' id='answer-id-1556923' class='answer   answerof-400955 ' value='1556923'   \/><label for='answer-id-1556923' id='answer-label-1556923' class=' answer'><span>The residual sum of squares (RSS) falls below a threshold.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400955[]' id='answer-id-1556924' class='answer   answerof-400955 ' value='1556924'   \/><label for='answer-id-1556924' id='answer-label-1556924' class=' answer'><span>Centroids do not change between iterations.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-30' style=';'><div id='questionWrap-30'  class='   watupro-question-id-400956'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/span>You are building a regression model tot estimating the number of calls during an event. <br \/>\r<br>You need to determine whether the feature values achieve the conditions to build a Poisson regression model. <br \/>\r<br>Which two conditions must the feature set contain? I ach correct answer presents part of the solution. NOTE: Each correct selection is worth one point.<\/div><input type='hidden' name='question_id[]' id='qID_30' value='400956' \/><input type='hidden' id='answerType400956' 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-400956[]' id='answer-id-1556925' class='answer   answerof-400956 ' value='1556925'   \/><label for='answer-id-1556925' id='answer-label-1556925' class=' answer'><span>The label data must be a negative value.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400956[]' id='answer-id-1556926' class='answer   answerof-400956 ' value='1556926'   \/><label for='answer-id-1556926' id='answer-label-1556926' class=' answer'><span>The label data can be positive or negative,<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400956[]' id='answer-id-1556927' class='answer   answerof-400956 ' value='1556927'   \/><label for='answer-id-1556927' id='answer-label-1556927' class=' answer'><span>The label data must be a positive value<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400956[]' id='answer-id-1556928' class='answer   answerof-400956 ' value='1556928'   \/><label for='answer-id-1556928' id='answer-label-1556928' class=' answer'><span>The label data must be non discrete.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400956[]' id='answer-id-1556929' class='answer   answerof-400956 ' value='1556929'   \/><label for='answer-id-1556929' id='answer-label-1556929' class=' answer'><span>The data must be whole numbers.<\/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-400957'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>31. <\/span>HOTSPOT <br \/>\r<br>You are performing a classification task in Azure Machine Learning Studio. <br \/>\r<br>You must prepare balanced testing and training samples based on a provided data set. <br \/>\r<br>You need to split the data with a 0.75:0.25 ratio. <br \/>\r<br>Which value should you use for each parameter? 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=537 height=571 id=\"\u56fe\u7247 160\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image070-7.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_31' value='400957' \/><input type='hidden' id='answerType400957' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-400957[]' id='textarea_q_400957' 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-400958'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>32. <\/span>HOTSPOT <br \/>\r<br>You create a binary classification model using Azure Machine Learning Studio. <br \/>\r<br>You must use a Receiver Operating Characteristic (RO C) curve and an F1 score to evaluate the model. <br \/>\r<br>You need to create the required business metrics. <br \/>\r<br>How should you complete the experiment? To answer, select the appropriate options in the dialog box in the answer area. NOTE: Each correct selection is worth one point. <br \/>\r<br><br><img decoding=\"async\" width=649 height=401 id=\"\u56fe\u7247 166\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image072-6.jpg\"><br><br \/>\r<br><br><img decoding=\"async\" width=564 height=347 id=\"\u56fe\u7247 167\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image073-7.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_32' value='400958' \/><input type='hidden' id='answerType400958' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-400958[]' id='textarea_q_400958' 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-400959'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>33. <\/span>HOTSPOT <br \/>\r<br>You are tuning a hyperparameter for an algorithm. The following table shows a data set with different hyperparameter, training error, and validation errors. <br \/>\r<br><br><img decoding=\"async\" width=649 height=154 id=\"\u56fe\u7247 200\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image075-8.jpg\"><br><br \/>\r<br>Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic. <br \/>\r<br><br><img decoding=\"async\" width=650 height=478 id=\"\u56fe\u7247 201\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image076-8.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_33' value='400959' \/><input type='hidden' id='answerType400959' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-400959[]' id='textarea_q_400959' 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-34' style=';'><div id='questionWrap-34'  class='   watupro-question-id-400960'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>34. <\/span>You use Azure Machine Learning Studio to build a machine learning experiment. <br \/>\r<br>You need to divide data into two distinct datasets. <br \/>\r<br>Which module should you use?<\/div><input type='hidden' name='question_id[]' id='qID_34' value='400960' \/><input type='hidden' id='answerType400960' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400960[]' id='answer-id-1556933' class='answer   answerof-400960 ' value='1556933'   \/><label for='answer-id-1556933' id='answer-label-1556933' class=' answer'><span>Partition and Sample<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400960[]' id='answer-id-1556934' class='answer   answerof-400960 ' value='1556934'   \/><label for='answer-id-1556934' id='answer-label-1556934' class=' answer'><span>Assign Data to Clusters<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400960[]' id='answer-id-1556935' class='answer   answerof-400960 ' value='1556935'   \/><label for='answer-id-1556935' id='answer-label-1556935' class=' answer'><span>Group Data into Bins<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400960[]' id='answer-id-1556936' class='answer   answerof-400960 ' value='1556936'   \/><label for='answer-id-1556936' id='answer-label-1556936' class=' answer'><span>Test Hypothesis Using t-Test<\/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-400961'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>35. <\/span>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_35' value='400961' \/><input type='hidden' id='answerType400961' 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-400961[]' id='answer-id-1556937' class='answer   answerof-400961 ' value='1556937'   \/><label for='answer-id-1556937' id='answer-label-1556937' class=' answer'><span>Microsoft Hardware-Assisted Virtualization Detection Tool<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400961[]' id='answer-id-1556938' class='answer   answerof-400961 ' value='1556938'   \/><label for='answer-id-1556938' id='answer-label-1556938' class=' answer'><span>Kitematic<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400961[]' id='answer-id-1556939' class='answer   answerof-400961 ' value='1556939'   \/><label for='answer-id-1556939' id='answer-label-1556939' class=' answer'><span>BIOS-enabled virtualization<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400961[]' id='answer-id-1556940' class='answer   answerof-400961 ' value='1556940'   \/><label for='answer-id-1556940' id='answer-label-1556940' class=' answer'><span>VirtualBox<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-400961[]' id='answer-id-1556941' class='answer   answerof-400961 ' value='1556941'   \/><label for='answer-id-1556941' id='answer-label-1556941' 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-36' style=';'><div id='questionWrap-36'  class='   watupro-question-id-400962'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>36. <\/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>&#10001; support Python and Scala <br \/>\r<br>&#10001; compose data storage, movement, and processing services into automated data pipelines <br \/>\r<br>&#10001; the same tool should be used for the orchestration of both data engineering and data science <br \/>\r<br>&#10001; support workload isolation and interactive workloads <br \/>\r<br>&#10001; 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_36' value='400962' \/><input type='hidden' id='answerType400962' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400962[]' id='answer-id-1556942' class='answer   answerof-400962 ' value='1556942'   \/><label for='answer-id-1556942' id='answer-label-1556942' 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='radio' name='answer-400962[]' id='answer-id-1556943' class='answer   answerof-400962 ' value='1556943'   \/><label for='answer-id-1556943' id='answer-label-1556943' 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='radio' name='answer-400962[]' id='answer-id-1556944' class='answer   answerof-400962 ' value='1556944'   \/><label for='answer-id-1556944' id='answer-label-1556944' 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='radio' name='answer-400962[]' id='answer-id-1556945' class='answer   answerof-400962 ' value='1556945'   \/><label for='answer-id-1556945' id='answer-label-1556945' 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-37' style=';'><div id='questionWrap-37'  class='   watupro-question-id-400963'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>37. <\/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>&#10001; Data scientists must build notebooks in a cloud environment <br \/>\r<br>&#10001; Data scientists must use automatic feature engineering and model building in machine learning pipelines. <br \/>\r<br>&#10001; Notebooks must be deployed to retrain using Spark instances with dynamic worker allocation. <br \/>\r<br>&#10001; 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 id=\"\u56fe\u7247 269\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image079-6.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_37' value='400963' \/><input type='hidden' id='answerType400963' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-400963[]' id='textarea_q_400963' 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-400964'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>38. <\/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>&#10001; Models must be built using Caffe2 or Chainer frameworks. <br \/>\r<br>&#10001; 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. <br \/>\r<br>&#10001; 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_38' value='400964' \/><input type='hidden' id='answerType400964' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400964[]' id='answer-id-1556947' class='answer   answerof-400964 ' value='1556947'   \/><label for='answer-id-1556947' id='answer-label-1556947' class=' answer'><span>Azure Machine Learning Service<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400964[]' id='answer-id-1556948' class='answer   answerof-400964 ' value='1556948'   \/><label for='answer-id-1556948' id='answer-label-1556948' class=' answer'><span>Azure Machine Learning Studio<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400964[]' id='answer-id-1556949' class='answer   answerof-400964 ' value='1556949'   \/><label for='answer-id-1556949' id='answer-label-1556949' class=' answer'><span>Azure Databricks<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400964[]' id='answer-id-1556950' class='answer   answerof-400964 ' value='1556950'   \/><label for='answer-id-1556950' id='answer-label-1556950' class=' answer'><span>Azure Kubernetes Service (AKS)<\/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-400965'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>39. <\/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_39' value='400965' \/><input type='hidden' id='answerType400965' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400965[]' id='answer-id-1556951' class='answer   answerof-400965 ' value='1556951'   \/><label for='answer-id-1556951' id='answer-label-1556951' class=' answer'><span>Create a Data Science Virtual Machine (DSVM) Windows edition.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400965[]' id='answer-id-1556952' class='answer   answerof-400965 ' value='1556952'   \/><label for='answer-id-1556952' id='answer-label-1556952' 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='radio' name='answer-400965[]' id='answer-id-1556953' class='answer   answerof-400965 ' value='1556953'   \/><label for='answer-id-1556953' id='answer-label-1556953' class=' answer'><span>Create a Deep Learning Virtual Machine (DLVM) Linux edition.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400965[]' id='answer-id-1556954' class='answer   answerof-400965 ' value='1556954'   \/><label for='answer-id-1556954' id='answer-label-1556954' class=' answer'><span>Create a Deep Learning Virtual Machine (DLVM) Windows edition.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400965[]' id='answer-id-1556955' class='answer   answerof-400965 ' value='1556955'   \/><label for='answer-id-1556955' id='answer-label-1556955' class=' answer'><span>Create a Data Science Virtual Machine (DSVM) Linux edition.<\/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-400966'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>40. <\/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>&#10001; Video recordings of sporting events <br \/>\r<br>&#10001; Transcripts of radio commentary about events <br \/>\r<br>&#10001; 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_40' value='400966' \/><input type='hidden' id='answerType400966' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400966[]' id='answer-id-1556956' class='answer   answerof-400966 ' value='1556956'   \/><label for='answer-id-1556956' id='answer-label-1556956' class=' answer'><span>Azure Cognitive Services<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400966[]' id='answer-id-1556957' class='answer   answerof-400966 ' value='1556957'   \/><label for='answer-id-1556957' id='answer-label-1556957' class=' answer'><span>Azure Data Lake Analytics<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400966[]' id='answer-id-1556958' class='answer   answerof-400966 ' value='1556958'   \/><label for='answer-id-1556958' id='answer-label-1556958' class=' answer'><span>Azure HDInsight with Spark MLib<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-400966[]' id='answer-id-1556959' class='answer   answerof-400966 ' value='1556959'   \/><label for='answer-id-1556959' id='answer-label-1556959' class=' answer'><span>Azure Machine Learning Studio<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div style='display:none' id='question-41'>\n\t<div class='question-content'>\n\t\t<img 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Our DP-100 dumps (V22.02) are the most current version, covering all the Designing and Implementing a Data Science Solution on Azure exam topics and concepts to ensure success. 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