{"id":112409,"date":"2025-10-22T06:29:08","date_gmt":"2025-10-22T06:29:08","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=112409"},"modified":"2025-10-22T06:29:08","modified_gmt":"2025-10-22T06:29:08","slug":"microsoft-dp-100-dumps-v23-02-elevate-your-success-reading-dp-100-free-dumps-part-3-q81-q120-online-to-check-more","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/microsoft-dp-100-dumps-v23-02-elevate-your-success-reading-dp-100-free-dumps-part-3-q81-q120-online-to-check-more.html","title":{"rendered":"Microsoft DP-100 Dumps (V23.02) Elevate Your Success: Reading DP-100 Free Dumps (Part 3, Q81-Q120) Online to Check More"},"content":{"rendered":"<p>You can take your career to new heights with the Microsoft Certified: Azure Data Scientist Associate certification, so you must pass the DP-100 exam successfully. DumpsBase provides the most updated DP-100 dumps (V23.02), guaranteeing your success on the first attempt. You can feel the quality of V23.02 by reading our free dumps:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.dumpsbase.com\/freedumps\/updated-the-dp-100-dumps-to-v23-02-for-microsoft-exam-preparation-begin-with-our-dp-100-free-dumps-part-1-q1-q40.html\"><em>DP-100 free dumps (Part 1, Q1-Q40) of V23.02<\/em><\/a><\/li>\n<li><a href=\"https:\/\/www.dumpsbase.com\/freedumps\/pass-your-exam-with-updated-dp-100-dumps-v23-02-continue-to-check-the-dp-100-free-dumps-part-2-q41-q80-online.html\"><em>DP-100 free dumps (Part 2, Q41-Q80) of V23.02<\/em><\/a><\/li>\n<\/ul>\n<p>From these free dumps, you can find that our DP-100 dumps (V23.02) will allow you to complete the actual exam with actual questions and correct answers. Repeated practice with our DP-100 exam questions ensures you\u2019re ready to clear the Designing and Implementing a Data Science Solution on Azure exam on your first attempt. Today, we will continue to share more free dumps for checking.<\/p>\n<p><!-- notionvc: 43503d6b-8de6-4084-bb17-d3d5b0664142 --><\/p>\n<h2>Reading <span style=\"background-color: #33cccc;\"><em>DP-100 free dumps (Part 3, Q81-Q120) of V23.02 below<\/em><\/span>:<\/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=\"submittingExam10807\" 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-10807\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-10807\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-426554'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>You are solving a classification task. <br \/>\r<br>You must evaluate your model on a limited data sample by using k-fold cross-validation. You start by configuring a k parameter as the number of splits. <br \/>\r<br>You need to configure the k parameter for the cross-validation. <br \/>\r<br>Which value should you use?<\/div><input type='hidden' name='question_id[]' id='qID_1' value='426554' \/><input type='hidden' id='answerType426554' 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-426554[]' id='answer-id-1651133' class='answer   answerof-426554 ' value='1651133'   \/><label for='answer-id-1651133' id='answer-label-1651133' class=' answer'><span>k=1<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426554[]' id='answer-id-1651134' class='answer   answerof-426554 ' value='1651134'   \/><label for='answer-id-1651134' id='answer-label-1651134' class=' answer'><span>k=10<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426554[]' id='answer-id-1651135' class='answer   answerof-426554 ' value='1651135'   \/><label for='answer-id-1651135' id='answer-label-1651135' class=' answer'><span>k=0.5<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426554[]' id='answer-id-1651136' class='answer   answerof-426554 ' value='1651136'   \/><label for='answer-id-1651136' id='answer-label-1651136' class=' answer'><span>k=0.9<\/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-426555'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>HOTSPOT <br \/>\r<br>You need to configure the Feature Based Feature Selection module based on the experiment requirements and datasets. <br \/>\r<br>How should you configure the module properties? 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=347 height=395 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image040.png\"><br><\/div><input type='hidden' name='question_id[]' id='qID_2' value='426555' \/><input type='hidden' id='answerType426555' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426555[]' id='textarea_q_426555' 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-426556'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/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_3' value='426556' \/><input type='hidden' id='answerType426556' 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-426556[]' id='answer-id-1651138' class='answer   answerof-426556 ' value='1651138'   \/><label for='answer-id-1651138' id='answer-label-1651138' 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-426556[]' id='answer-id-1651139' class='answer   answerof-426556 ' value='1651139'   \/><label for='answer-id-1651139' id='answer-label-1651139' class=' answer'><span>Solid State Drives (SSD)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426556[]' id='answer-id-1651140' class='answer   answerof-426556 ' value='1651140'   \/><label for='answer-id-1651140' id='answer-label-1651140' class=' answer'><span>Graphic Processing Unit (GPU)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426556[]' id='answer-id-1651141' class='answer   answerof-426556 ' value='1651141'   \/><label for='answer-id-1651141' id='answer-label-1651141' 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-426556[]' id='answer-id-1651142' class='answer   answerof-426556 ' value='1651142'   \/><label for='answer-id-1651142' id='answer-label-1651142' 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-4' style=';'><div id='questionWrap-4'  class='   watupro-question-id-426557'>\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>&#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_4' value='426557' \/><input type='hidden' id='answerType426557' 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-426557[]' id='answer-id-1651143' class='answer   answerof-426557 ' value='1651143'   \/><label for='answer-id-1651143' id='answer-label-1651143' class=' answer'><span>Azure Machine Learning Service<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426557[]' id='answer-id-1651144' class='answer   answerof-426557 ' value='1651144'   \/><label for='answer-id-1651144' id='answer-label-1651144' class=' answer'><span>Azure Machine Learning Studio<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426557[]' id='answer-id-1651145' class='answer   answerof-426557 ' value='1651145'   \/><label for='answer-id-1651145' id='answer-label-1651145' class=' answer'><span>Azure Databricks<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426557[]' id='answer-id-1651146' class='answer   answerof-426557 ' value='1651146'   \/><label for='answer-id-1651146' id='answer-label-1651146' 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-426558'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/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\/09\/image066.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_5' value='426558' \/><input type='hidden' id='answerType426558' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426558[]' id='textarea_q_426558' 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-6' style=';'><div id='questionWrap-6'  class='   watupro-question-id-426559'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>You need to select a feature extraction method. <br \/>\r<br>Which method should you use?<\/div><input type='hidden' name='question_id[]' id='qID_6' value='426559' \/><input type='hidden' id='answerType426559' 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-426559[]' id='answer-id-1651148' class='answer   answerof-426559 ' value='1651148'   \/><label for='answer-id-1651148' id='answer-label-1651148' class=' answer'><span>Mutual information<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426559[]' id='answer-id-1651149' class='answer   answerof-426559 ' value='1651149'   \/><label for='answer-id-1651149' id='answer-label-1651149' class=' answer'><span>Mood\u2019s median test<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426559[]' id='answer-id-1651150' class='answer   answerof-426559 ' value='1651150'   \/><label for='answer-id-1651150' id='answer-label-1651150' class=' answer'><span>Kendall correlation<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426559[]' id='answer-id-1651151' class='answer   answerof-426559 ' value='1651151'   \/><label for='answer-id-1651151' id='answer-label-1651151' class=' answer'><span>Permutation Feature Importance<\/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-426560'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/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_7' value='426560' \/><input type='hidden' id='answerType426560' 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-426560[]' id='answer-id-1651152' class='answer   answerof-426560 ' value='1651152'   \/><label for='answer-id-1651152' id='answer-label-1651152' class=' answer'><span>Synthetic Minority Oversampling Technique (SMOTE)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426560[]' id='answer-id-1651153' class='answer   answerof-426560 ' value='1651153'   \/><label for='answer-id-1651153' id='answer-label-1651153' class=' answer'><span>Replace using MICE<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426560[]' id='answer-id-1651154' class='answer   answerof-426560 ' value='1651154'   \/><label for='answer-id-1651154' id='answer-label-1651154' class=' answer'><span>Replace using; Probabilistic PCA<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426560[]' id='answer-id-1651155' class='answer   answerof-426560 ' value='1651155'   \/><label for='answer-id-1651155' id='answer-label-1651155' class=' answer'><span>Normalization<\/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-426561'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/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_8' value='426561' \/><input type='hidden' id='answerType426561' 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-426561[]' id='answer-id-1651156' class='answer   answerof-426561 ' value='1651156'   \/><label for='answer-id-1651156' id='answer-label-1651156' class=' answer'><span>Apache Drill<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426561[]' id='answer-id-1651157' class='answer   answerof-426561 ' value='1651157'   \/><label for='answer-id-1651157' id='answer-label-1651157' class=' answer'><span>Tensorflow<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426561[]' id='answer-id-1651158' class='answer   answerof-426561 ' value='1651158'   \/><label for='answer-id-1651158' id='answer-label-1651158' class=' answer'><span>Rattle<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426561[]' id='answer-id-1651159' class='answer   answerof-426561 ' value='1651159'   \/><label for='answer-id-1651159' id='answer-label-1651159' class=' answer'><span>Weka<\/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-426562'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/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 analyzing a numerical dataset which contains missing values in several columns. <br \/>\r<br>You must clean the missing values using an appropriate operation without affecting the dimensionality of the feature set. <br \/>\r<br>You need to analyze a full dataset to include all values. <br \/>\r<br>Solution: Remove the entire column that contains the missing data point. <br \/>\r<br>Does the solution meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='426562' \/><input type='hidden' id='answerType426562' 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-426562[]' id='answer-id-1651160' class='answer   answerof-426562 ' value='1651160'   \/><label for='answer-id-1651160' id='answer-label-1651160' class=' answer'><span>Yes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426562[]' id='answer-id-1651161' class='answer   answerof-426562 ' value='1651161'   \/><label for='answer-id-1651161' id='answer-label-1651161' class=' answer'><span>No<\/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-426563'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/span>HOTSPOT <br \/>\r<br>You are retrieving data from a large datastore by using Azure Machine Learning Studio. <br \/>\r<br>You must create a subset of the data for testing purposes using a random sampling seed based on the system clock. <br \/>\r<br>You add the Partition and Sample module to your experiment. <br \/>\r<br>You need to select the properties for the module. <br \/>\r<br>Which values 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=455 height=500 id=\"\u56fe\u7247 89\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image085.png\"><br><\/div><input type='hidden' name='question_id[]' id='qID_10' value='426563' \/><input type='hidden' id='answerType426563' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426563[]' id='textarea_q_426563' 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-11' style=';'><div id='questionWrap-11'  class='   watupro-question-id-426564'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/span>DRAG DROP <br \/>\r<br>You have a model with a large difference between the training and validation error values. <br \/>\r<br>You must create a new model and perform cross-validation. <br \/>\r<br>You need to identify a parameter set for the new model using Azure Machine Learning Studio. <br \/>\r<br>Which module you should use for each step? To answer, drag the appropriate modules to the correct steps. Each module may be used once or 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=216 id=\"\u56fe\u7247 182\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image114.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_11' value='426564' \/><input type='hidden' id='answerType426564' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426564[]' id='textarea_q_426564' 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-12' style=';'><div id='questionWrap-12'  class='   watupro-question-id-426565'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/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 creating a model to predict the price of a student\u2019s artwork depending on the following variables: the student\u2019s length of education, degree type, and art form. <br \/>\r<br>You start by creating a linear regression model. <br \/>\r<br>You need to evaluate the linear regression model. <br \/>\r<br>Solution: Use the following metrics: Mean Absolute Error, Root Mean Absolute Error, Relative Absolute Error, Accuracy, Precision, Recall, F1 score, and AUC. <br \/>\r<br>Does the solution meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_12' value='426565' \/><input type='hidden' id='answerType426565' 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-426565[]' id='answer-id-1651164' class='answer   answerof-426565 ' value='1651164'   \/><label for='answer-id-1651164' id='answer-label-1651164' class=' answer'><span>Yes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426565[]' id='answer-id-1651165' class='answer   answerof-426565 ' value='1651165'   \/><label for='answer-id-1651165' id='answer-label-1651165' class=' answer'><span>No<\/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-426566'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/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\/09\/image057.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\/09\/image058.png\"><br><\/div><input type='hidden' name='question_id[]' id='qID_13' value='426566' \/><input type='hidden' id='answerType426566' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426566[]' id='textarea_q_426566' 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-14' style=';'><div id='questionWrap-14'  class='   watupro-question-id-426567'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/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_14' value='426567' \/><input type='hidden' id='answerType426567' 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-426567[]' id='answer-id-1651167' class='answer   answerof-426567 ' value='1651167'   \/><label for='answer-id-1651167' id='answer-label-1651167' class=' answer'><span>Microsoft Hardware-Assisted Virtualization Detection Tool<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426567[]' id='answer-id-1651168' class='answer   answerof-426567 ' value='1651168'   \/><label for='answer-id-1651168' id='answer-label-1651168' class=' answer'><span>Kitematic<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426567[]' id='answer-id-1651169' class='answer   answerof-426567 ' value='1651169'   \/><label for='answer-id-1651169' id='answer-label-1651169' class=' answer'><span>BIOS-enabled virtualization<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426567[]' id='answer-id-1651170' class='answer   answerof-426567 ' value='1651170'   \/><label for='answer-id-1651170' id='answer-label-1651170' class=' answer'><span>VirtualBox<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426567[]' id='answer-id-1651171' class='answer   answerof-426567 ' value='1651171'   \/><label for='answer-id-1651171' id='answer-label-1651171' 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-15' style=';'><div id='questionWrap-15'  class='   watupro-question-id-426568'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>DRAG DROP <br \/>\r<br>You need to define an evaluation strategy for the crowd sentiment models. <br \/>\r<br>Which three 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=261 id=\"\u56fe\u7247 8\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image018.png\"><br><\/div><input type='hidden' name='question_id[]' id='qID_15' value='426568' \/><input type='hidden' id='answerType426568' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426568[]' id='textarea_q_426568' 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-426569'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/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_16' value='426569' \/><input type='hidden' id='answerType426569' 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-426569[]' id='answer-id-1651173' class='answer   answerof-426569 ' value='1651173'   \/><label for='answer-id-1651173' id='answer-label-1651173' class=' answer'><span>Reduce the amount of training data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426569[]' id='answer-id-1651174' class='answer   answerof-426569 ' value='1651174'   \/><label for='answer-id-1651174' id='answer-label-1651174' 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-426569[]' id='answer-id-1651175' class='answer   answerof-426569 ' value='1651175'   \/><label for='answer-id-1651175' id='answer-label-1651175' class=' answer'><span>Add L1\/L2 regularization.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426569[]' id='answer-id-1651176' class='answer   answerof-426569 ' value='1651176'   \/><label for='answer-id-1651176' id='answer-label-1651176' class=' answer'><span>Use training data augmentation<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426569[]' id='answer-id-1651177' class='answer   answerof-426569 ' value='1651177'   \/><label for='answer-id-1651177' id='answer-label-1651177' 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-17' style=';'><div id='questionWrap-17'  class='   watupro-question-id-426570'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>HOTSPOT <br \/>\r<br>You need to configure the Permutation Feature Importance module for the model training requirements. <br \/>\r<br>What should you do? 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=492 height=500 id=\"\u56fe\u7247 22\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image026.png\"><br><\/div><input type='hidden' name='question_id[]' id='qID_17' value='426570' \/><input type='hidden' id='answerType426570' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426570[]' id='textarea_q_426570' 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-426571'>\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 creating a new experiment in Azure Learning learning Studio. <br \/>\r<br>One class has a much smaller number of observations than the other classes in the training <br \/>\r<br>You need to select an appropriate data sampling strategy to compensate for the class imbalance. <br \/>\r<br>Solution: You use the Synthetic Minority Oversampling Technique (SMOTE) sampling mode. <br \/>\r<br>Does the solution meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_18' value='426571' \/><input type='hidden' id='answerType426571' 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-426571[]' id='answer-id-1651179' class='answer   answerof-426571 ' value='1651179'   \/><label for='answer-id-1651179' id='answer-label-1651179' class=' answer'><span>Yes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426571[]' id='answer-id-1651180' class='answer   answerof-426571 ' value='1651180'   \/><label for='answer-id-1651180' id='answer-label-1651180' 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-426572'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>DRAG DROP <br \/>\r<br>You are analyzing a raw dataset that requires cleaning. <br \/>\r<br>You must perform transformations and manipulations by using Azure Machine Learning Studio. <br \/>\r<br>You need to identify the correct modules to perform the transformations. <br \/>\r<br>Which modules should you choose? To answer, drag the appropriate modules to the correct scenarios. Each module may be used once, more than once, or not at all. <br \/>\r<br>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=266 id=\"\u56fe\u7247 193\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image087.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_19' value='426572' \/><input type='hidden' id='answerType426572' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426572[]' id='textarea_q_426572' 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-20' style=';'><div id='questionWrap-20'  class='   watupro-question-id-426573'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>You use the Two-Class Neural Network module in Azure Machine Learning Studio to build a binary <br \/>\r<br>classification model. You use the Tune Model Hyperparameters module to tune accuracy for the model. <br \/>\r<br>You need to select the hyperparameters that should be tuned using the Tune Model Hyperparameters module. <br \/>\r<br>Which two hyperparameters should you use? 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_20' value='426573' \/><input type='hidden' id='answerType426573' 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-426573[]' id='answer-id-1651182' class='answer   answerof-426573 ' value='1651182'   \/><label for='answer-id-1651182' id='answer-label-1651182' class=' answer'><span>Number of hidden nodes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426573[]' id='answer-id-1651183' class='answer   answerof-426573 ' value='1651183'   \/><label for='answer-id-1651183' id='answer-label-1651183' class=' answer'><span>Learning Rate<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426573[]' id='answer-id-1651184' class='answer   answerof-426573 ' value='1651184'   \/><label for='answer-id-1651184' id='answer-label-1651184' class=' answer'><span>The type of the normalizer<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426573[]' id='answer-id-1651185' class='answer   answerof-426573 ' value='1651185'   \/><label for='answer-id-1651185' id='answer-label-1651185' class=' answer'><span>Number of learning iterations<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426573[]' id='answer-id-1651186' class='answer   answerof-426573 ' value='1651186'   \/><label for='answer-id-1651186' id='answer-label-1651186' class=' answer'><span>Hidden layer specification<\/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-426574'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/span>HOTSPOT <br \/>\r<br>You are analyzing the asymmetry in a statistical distribution. <br \/>\r<br>The following image contains two density curves that show the probability distribution of two datasets. <br \/>\r<br><br><img decoding=\"async\" width=649 height=214 id=\"\u56fe\u7247 212\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image121.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=632 height=308 id=\"\u56fe\u7247 213\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image122.png\"><br><\/div><input type='hidden' name='question_id[]' id='qID_21' value='426574' \/><input type='hidden' id='answerType426574' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426574[]' id='textarea_q_426574' 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-22' style=';'><div id='questionWrap-22'  class='   watupro-question-id-426575'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/span>DRAG DROP <br \/>\r<br>You are producing a multiple linear regression model in Azure Machine Learning Studio. <br \/>\r<br>Several independent variables are highly correlated. <br \/>\r<br>You need to select appropriate methods for conducting effective feature engineering on all the data. <br \/>\r<br>Which three 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=318 id=\"\u56fe\u7247 46\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image044.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_22' value='426575' \/><input type='hidden' id='answerType426575' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426575[]' id='textarea_q_426575' 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-426576'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/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_23' value='426576' \/><input type='hidden' id='answerType426576' 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-426576[]' id='answer-id-1651189' class='answer   answerof-426576 ' value='1651189'   \/><label for='answer-id-1651189' id='answer-label-1651189' class=' answer'><span>M<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426576[]' id='answer-id-1651190' class='answer   answerof-426576 ' value='1651190'   \/><label for='answer-id-1651190' id='answer-label-1651190' class=' answer'><span>NET Library on a local environment<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426576[]' id='answer-id-1651191' class='answer   answerof-426576 ' value='1651191'   \/><label for='answer-id-1651191' id='answer-label-1651191' class=' answer'><span>Azure Machine Learning Studio<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426576[]' id='answer-id-1651192' class='answer   answerof-426576 ' value='1651192'   \/><label for='answer-id-1651192' id='answer-label-1651192' class=' answer'><span>Data Science Virtual Machine (OSVM)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426576[]' id='answer-id-1651193' class='answer   answerof-426576 ' value='1651193'   \/><label for='answer-id-1651193' id='answer-label-1651193' class=' answer'><span>Azure Data bricks<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426576[]' id='answer-id-1651194' class='answer   answerof-426576 ' value='1651194'   \/><label for='answer-id-1651194' id='answer-label-1651194' class=' answer'><span>Azure Cognitive Services<\/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-426577'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/span>HOTSPOT <br \/>\r<br>You have a feature set containing the following numerical features: X, Y, and Z. <br \/>\r<br>The Poisson correlation coefficient (r-value) of X, Y, and Z features is shown in the following image: <br \/>\r<br><br><img decoding=\"async\" width=639 height=77 id=\"\u56fe\u7247 257\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image101.png\"><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=612 height=272 id=\"\u56fe\u7247 258\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image102.png\"><br><\/div><input type='hidden' name='question_id[]' id='qID_24' value='426577' \/><input type='hidden' id='answerType426577' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426577[]' id='textarea_q_426577' 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-426578'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/span>DRAG DROP <br \/>\r<br>You are creating an experiment by using Azure Machine Learning Studio. <br \/>\r<br>You must divide the data into four subsets for evaluation. There is a high degree of missing values in the data. You must prepare the data for analysis. <br \/>\r<br>You need to select appropriate methods for producing the experiment. <br \/>\r<br>Which three modules 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. NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select. <br \/>\r<br><br><img decoding=\"async\" width=460 height=360 id=\"\u56fe\u7247 52\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image083.png\"><br><\/div><input type='hidden' name='question_id[]' id='qID_25' value='426578' \/><input type='hidden' id='answerType426578' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426578[]' id='textarea_q_426578' 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-426579'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/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_26' value='426579' \/><input type='hidden' id='answerType426579' 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-426579[]' id='answer-id-1651197' class='answer   answerof-426579 ' value='1651197'   \/><label for='answer-id-1651197' id='answer-label-1651197' 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-426579[]' id='answer-id-1651198' class='answer   answerof-426579 ' value='1651198'   \/><label for='answer-id-1651198' id='answer-label-1651198' 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-426579[]' id='answer-id-1651199' class='answer   answerof-426579 ' value='1651199'   \/><label for='answer-id-1651199' id='answer-label-1651199' 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-426579[]' id='answer-id-1651200' class='answer   answerof-426579 ' value='1651200'   \/><label for='answer-id-1651200' id='answer-label-1651200' 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-27' style=';'><div id='questionWrap-27'  class='   watupro-question-id-426580'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/span>HOTSPOT <br \/>\r<br>You need to set up the Permutation Feature Importance module according to the model training requirements. <br \/>\r<br>Which properties 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=620 height=584 id=\"\u56fe\u7247 30\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image038.png\"><br><\/div><input type='hidden' name='question_id[]' id='qID_27' value='426580' \/><input type='hidden' id='answerType426580' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426580[]' id='textarea_q_426580' 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-28' style=';'><div id='questionWrap-28'  class='   watupro-question-id-426581'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/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_28' value='426581' \/><input type='hidden' id='answerType426581' 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-426581[]' id='answer-id-1651202' class='answer   answerof-426581 ' value='1651202'   \/><label for='answer-id-1651202' id='answer-label-1651202' 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-426581[]' id='answer-id-1651203' class='answer   answerof-426581 ' value='1651203'   \/><label for='answer-id-1651203' id='answer-label-1651203' 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-426581[]' id='answer-id-1651204' class='answer   answerof-426581 ' value='1651204'   \/><label for='answer-id-1651204' id='answer-label-1651204' 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-426581[]' id='answer-id-1651205' class='answer   answerof-426581 ' value='1651205'   \/><label for='answer-id-1651205' id='answer-label-1651205' 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-426581[]' id='answer-id-1651206' class='answer   answerof-426581 ' value='1651206'   \/><label for='answer-id-1651206' id='answer-label-1651206' 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-29' style=';'><div id='questionWrap-29'  class='   watupro-question-id-426582'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>HOTSPOT <br \/>\r<br>You have a Python data frame named salesData in the following format: <br \/>\r<br><br><img decoding=\"async\" width=225 height=79 id=\"\u56fe\u7247 144\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image089.png\"><br><br \/>\r<br>The data frame must be unpivoted to a long data format as follows: <br \/>\r<br><br><img decoding=\"async\" width=230 height=142 id=\"\u56fe\u7247 145\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image090.png\"><br><br \/>\r<br>You need to use the pandas.melt() function in Python to perform the transformation. <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=144 id=\"\u56fe\u7247 146\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image091.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_29' value='426582' \/><input type='hidden' id='answerType426582' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426582[]' id='textarea_q_426582' 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-426583'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/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_30' value='426583' \/><input type='hidden' id='answerType426583' 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-426583[]' id='answer-id-1651208' class='answer   answerof-426583 ' value='1651208'   \/><label for='answer-id-1651208' id='answer-label-1651208' class=' answer'><span>Penalize the classification<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-426583[]' id='answer-id-1651209' class='answer   answerof-426583 ' value='1651209'   \/><label for='answer-id-1651209' id='answer-label-1651209' 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-426583[]' id='answer-id-1651210' class='answer   answerof-426583 ' value='1651210'   \/><label for='answer-id-1651210' id='answer-label-1651210' 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-426583[]' id='answer-id-1651211' class='answer   answerof-426583 ' value='1651211'   \/><label for='answer-id-1651211' id='answer-label-1651211' 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-426583[]' id='answer-id-1651212' class='answer   answerof-426583 ' value='1651212'   \/><label for='answer-id-1651212' id='answer-label-1651212' 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-31' style=';'><div id='questionWrap-31'  class='   watupro-question-id-426584'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>31. <\/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 analyzing a numerical dataset which contains missing values in several columns. <br \/>\r<br>You must clean the missing values using an appropriate operation without affecting the dimensionality of the feature set. <br \/>\r<br>You need to analyze a full dataset to include all values. <br \/>\r<br>Solution: Calculate the column median value and use the median value as the replacement for any missing value in the column. <br \/>\r<br>Does the solution meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_31' value='426584' \/><input type='hidden' id='answerType426584' 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-426584[]' id='answer-id-1651213' class='answer   answerof-426584 ' value='1651213'   \/><label for='answer-id-1651213' id='answer-label-1651213' class=' answer'><span>Yes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426584[]' id='answer-id-1651214' class='answer   answerof-426584 ' value='1651214'   \/><label for='answer-id-1651214' id='answer-label-1651214' class=' answer'><span>No<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-32' style=';'><div id='questionWrap-32'  class='   watupro-question-id-426585'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>32. <\/span>DRAG DROP <br \/>\r<br>You need to visually identify whether outliers exist in the Age column and quantify the outliers before the outliers are removed. <br \/>\r<br>Which three Azure Machine Learning Studio modules should you use in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order. <br \/>\r<br><br><img decoding=\"async\" width=543 height=275 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image032.png\"><br><\/div><input type='hidden' name='question_id[]' id='qID_32' value='426585' \/><input type='hidden' id='answerType426585' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426585[]' id='textarea_q_426585' 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-426586'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>33. <\/span>You plan to deliver a hands-on workshop to several students. The workshop will focus on creating data <br \/>\r<br>visualizations using Python. Each student will use a device that has internet access. <br \/>\r<br>Student devices are not configured for Python development. Students do not have administrator access to install software on their devices. Azure subscriptions are not available for students. You need to ensure that students can run Python-based data visualization code. <br \/>\r<br>Which Azure tool should you use?<\/div><input type='hidden' name='question_id[]' id='qID_33' value='426586' \/><input type='hidden' id='answerType426586' 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-426586[]' id='answer-id-1651216' class='answer   answerof-426586 ' value='1651216'   \/><label for='answer-id-1651216' id='answer-label-1651216' class=' answer'><span>Anaconda Data Science Platform<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426586[]' id='answer-id-1651217' class='answer   answerof-426586 ' value='1651217'   \/><label for='answer-id-1651217' id='answer-label-1651217' class=' answer'><span>Azure BatchAl<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426586[]' id='answer-id-1651218' class='answer   answerof-426586 ' value='1651218'   \/><label for='answer-id-1651218' id='answer-label-1651218' class=' answer'><span>Azure Notebooks<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426586[]' id='answer-id-1651219' class='answer   answerof-426586 ' value='1651219'   \/><label for='answer-id-1651219' id='answer-label-1651219' class=' answer'><span>Azure Machine Learning Service<\/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-426587'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>34. <\/span>HOTSPOT <br \/>\r<br>You have a dataset created for multiclass classification tasks that contains a normalized numerical feature set with 10,000 data points and 150 features. <br \/>\r<br>You use 75 percent of the data points for training and 25 percent for testing. You are using the scikit-learn machine learning library in Python. You use X to denote the feature set and Y to denote class labels. <br \/>\r<br>You create the following Python data frames: <br \/>\r<br><br><img decoding=\"async\" width=292 height=96 id=\"\u56fe\u7247 122\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image098.png\"><br><br \/>\r<br>You need to apply the Principal Component Analysis (PCA) method to reduce the dimensionality of the feature set to 10 features in both training and testing sets. <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=531 height=391 id=\"\u56fe\u7247 123\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image099.png\"><br><\/div><input type='hidden' name='question_id[]' id='qID_34' value='426587' \/><input type='hidden' id='answerType426587' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426587[]' id='textarea_q_426587' 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-35' style=';'><div id='questionWrap-35'  class='   watupro-question-id-426588'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>35. <\/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 creating a new experiment in Azure Machine Learning Studio. <br \/>\r<br>One class has a much smaller number of observations than tin- other classes in the training set. <br \/>\r<br>You need to select an appropriate data sampling strategy to compensate for the class imbalance. <br \/>\r<br>Solution: You use the Principal Components Analysis (PCA) sampling mode. <br \/>\r<br>Does the solution meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_35' value='426588' \/><input type='hidden' id='answerType426588' 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-426588[]' id='answer-id-1651221' class='answer   answerof-426588 ' value='1651221'   \/><label for='answer-id-1651221' id='answer-label-1651221' class=' answer'><span>Yes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426588[]' id='answer-id-1651222' class='answer   answerof-426588 ' value='1651222'   \/><label for='answer-id-1651222' id='answer-label-1651222' class=' answer'><span>No<\/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-426589'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>36. <\/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_36' value='426589' \/><input type='hidden' id='answerType426589' 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-426589[]' id='answer-id-1651223' class='answer   answerof-426589 ' value='1651223'   \/><label for='answer-id-1651223' id='answer-label-1651223' class=' answer'><span>Partition and Sample<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426589[]' id='answer-id-1651224' class='answer   answerof-426589 ' value='1651224'   \/><label for='answer-id-1651224' id='answer-label-1651224' class=' answer'><span>Assign Data to Clusters<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426589[]' id='answer-id-1651225' class='answer   answerof-426589 ' value='1651225'   \/><label for='answer-id-1651225' id='answer-label-1651225' class=' answer'><span>Group Data into Bins<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426589[]' id='answer-id-1651226' class='answer   answerof-426589 ' value='1651226'   \/><label for='answer-id-1651226' id='answer-label-1651226' 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-37' style=';'><div id='questionWrap-37'  class='   watupro-question-id-426590'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>37. <\/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_37' value='426590' \/><input type='hidden' id='answerType426590' 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-426590[]' id='answer-id-1651227' class='answer   answerof-426590 ' value='1651227'   \/><label for='answer-id-1651227' id='answer-label-1651227' class=' answer'><span>Azure Cognitive Services<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426590[]' id='answer-id-1651228' class='answer   answerof-426590 ' value='1651228'   \/><label for='answer-id-1651228' id='answer-label-1651228' class=' answer'><span>Azure Data Lake Analytics<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426590[]' id='answer-id-1651229' class='answer   answerof-426590 ' value='1651229'   \/><label for='answer-id-1651229' id='answer-label-1651229' class=' answer'><span>Azure HDInsight with Spark MLib<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426590[]' id='answer-id-1651230' class='answer   answerof-426590 ' value='1651230'   \/><label for='answer-id-1651230' id='answer-label-1651230' class=' answer'><span>Azure Machine Learning Studio<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-38' style=';'><div id='questionWrap-38'  class='   watupro-question-id-426591'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>38. <\/span>DRAG DROP <br \/>\r<br>You need to correct the model fit issue. <br \/>\r<br>Which three 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=601 height=526 id=\"\u56fe\u7247 32\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/09\/image030.png\"><br><\/div><input type='hidden' name='question_id[]' id='qID_38' value='426591' \/><input type='hidden' id='answerType426591' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426591[]' id='textarea_q_426591' 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-39' style=';'><div id='questionWrap-39'  class='   watupro-question-id-426592'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>39. <\/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\/09\/image062.png\"><br><\/div><input type='hidden' name='question_id[]' id='qID_39' value='426592' \/><input type='hidden' id='answerType426592' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-426592[]' id='textarea_q_426592' 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-40' style=';'><div id='questionWrap-40'  class='   watupro-question-id-426593'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>40. <\/span>You are conducting feature engineering to prepuce data for further analysis. <br \/>\r<br>The data includes seasonal patterns on inventory requirements. <br \/>\r<br>You need to select the appropriate method to conduct feature engineering on the data. <br \/>\r<br>Which method should you use?<\/div><input type='hidden' name='question_id[]' id='qID_40' value='426593' \/><input type='hidden' id='answerType426593' 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-426593[]' id='answer-id-1651233' class='answer   answerof-426593 ' value='1651233'   \/><label for='answer-id-1651233' id='answer-label-1651233' class=' answer'><span>Exponential Smoothing (ETS) function.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426593[]' id='answer-id-1651234' class='answer   answerof-426593 ' value='1651234'   \/><label for='answer-id-1651234' id='answer-label-1651234' class=' answer'><span>One Class Support Vector Machine module<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426593[]' id='answer-id-1651235' class='answer   answerof-426593 ' value='1651235'   \/><label for='answer-id-1651235' id='answer-label-1651235' class=' answer'><span>Time Series Anomaly Detection module<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-426593[]' id='answer-id-1651236' class='answer   answerof-426593 ' value='1651236'   \/><label for='answer-id-1651236' id='answer-label-1651236' class=' answer'><span>Finite Impulse Response (FIR) Filter module.<\/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 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=\"watuPROButtons10807\" >\n\t\t  <div id=\"prev-question\" style=\"display:none;\"><input type=\"button\" value=\"&lt; 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DumpsBase provides the most updated DP-100 dumps (V23.02), guaranteeing your success on the first attempt. You can feel the quality of V23.02 by reading our free dumps: DP-100 free dumps [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[101,18981,6074],"tags":[6072,10443],"class_list":["post-112409","post","type-post","status-publish","format-standard","hentry","category-microsoft","category-microsoft-certified-azure-data-scientist-associate","category-microsoft-data-certification","tag-dp-100-exam-questions","tag-dp-100-free-dumps"],"_links":{"self":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/112409","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/comments?post=112409"}],"version-history":[{"count":1,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/112409\/revisions"}],"predecessor-version":[{"id":112410,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/112409\/revisions\/112410"}],"wp:attachment":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/media?parent=112409"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/categories?post=112409"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/tags?post=112409"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}