{"id":1821,"date":"2018-12-22T02:39:53","date_gmt":"2018-12-22T02:39:53","guid":{"rendered":"https:\/\/dumps.dumpsbase.com\/?p=1821"},"modified":"2019-03-05T00:19:31","modified_gmt":"2019-03-05T00:19:31","slug":"new-70-774-dumps-ensure-your-success-in-the-first-try","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/new-70-774-dumps-ensure-your-success-in-the-first-try.html","title":{"rendered":"New 70-774 dumps ensure your success in the first try"},"content":{"rendered":"<p>Microsoft certifications are highly demanded across large and small IT organizations across the world, and 70-774 exam is one of them. New 70-774 Perform Cloud Data Science with Azure Machine Learning dumps is <span id=\"__w2_wxRXDZPv14_answer_content\" class=\"inline_editor_value\"><span class=\"ui_qtext_rendered_qtext\">the best source where you can get all the available online exam material. <span id=\"__w2_wmckD6pf14_answer_content\" class=\"inline_editor_value\">Prepare yourself to face your 70-774 exam with new 70-774 exam dumps, walk into the Testing Centre with confidence.<\/span><\/span><\/span><\/p>\n<p><span id=\"__w2_wxRXDZPv14_answer_content\" class=\"inline_editor_value\"><span class=\"ui_qtext_rendered_qtext\">It will help you get <span style=\"font-size: 14pt; background-color: #ff0000;\"><strong>verified 70-774 exam answers<\/strong><\/span> and you will be able to evaluate your preparation level for the Microsoft 70-774 dumps.<\/span><\/span><\/p>\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=\"submittingExam716\" 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-716\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-716\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-18611'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution. <br \/>\r<br>You are designing an Azure Machine Learning workflow. <br \/>\r<br>You have a dataset that contains two million large digital photographs. <br \/>\r<br>You plan to detect the presence of trees in the photographs. <br \/>\r<br>You need to ensure that your model supports the following: <br \/>\r<br>* Hidden Layers that support a directed graph structure. <br \/>\r<br>* User-defined core components on the GPU <br \/>\r<br>Solution: You create an endpoint to the computer Vision APL <br \/>\r<br>Does this meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_1' value='18611' \/><input type='hidden' id='answerType18611' 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-18611[]' id='answer-id-77035' class='answer   answerof-18611 ' value='77035'   \/><label for='answer-id-77035' id='answer-label-77035' class=' answer'><span>YES<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18611[]' id='answer-id-77036' class='answer   answerof-18611 ' value='77036'   \/><label for='answer-id-77036' id='answer-label-77036' class=' answer'><span>NO<\/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-18612'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution. <br \/>\r<br>You are designing an Azure Machine Learning workflow. <br \/>\r<br>You have a dataset that contains two million large digital photographs. <br \/>\r<br>You plan to detect the presence of trees in the photographs. <br \/>\r<br>You need to ensure that your model supports the following: <br \/>\r<br>* Hidden Layers that support a directed graph structure. <br \/>\r<br>* User-defined core components on the GPU <br \/>\r<br>Solution: You create an Azure notebook that supports the Microsoft Cognitive Toolkit. <br \/>\r<br>Does this meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_2' value='18612' \/><input type='hidden' id='answerType18612' 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-18612[]' id='answer-id-77037' class='answer   answerof-18612 ' value='77037'   \/><label for='answer-id-77037' id='answer-label-77037' class=' answer'><span>YES<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18612[]' id='answer-id-77038' class='answer   answerof-18612 ' value='77038'   \/><label for='answer-id-77038' id='answer-label-77038' class=' answer'><span>NO<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-3' style=';'><div id='questionWrap-3'  class='   watupro-question-id-18613'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution. <br \/>\r<br>You are designing an Azure Machine Learning workflow. <br \/>\r<br>You have a dataset that contains two million large digital photographs. <br \/>\r<br>You plan to detect the presence of trees in the photographs. <br \/>\r<br>You need to ensure that your model supports the following: <br \/>\r<br>* Hidden Layers that support a directed graph structure. <br \/>\r<br>* User-defined core components on the GPU <br \/>\r<br>Solution: You create a Machine Learning Experiment that implements the Multiclass Neural Network Module. <br \/>\r<br>Does this meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_3' value='18613' \/><input type='hidden' id='answerType18613' 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-18613[]' id='answer-id-77039' class='answer   answerof-18613 ' value='77039'   \/><label for='answer-id-77039' id='answer-label-77039' class=' answer'><span>YES<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18613[]' id='answer-id-77040' class='answer   answerof-18613 ' value='77040'   \/><label for='answer-id-77040' id='answer-label-77040' class=' answer'><span>NO<\/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-18614'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution. <br \/>\r<br>You are designing an Azure Machine Learning workflow. <br \/>\r<br>You have a dataset that contains two million large digital photographs. <br \/>\r<br>You plan to detect the presence of trees in the photographs. <br \/>\r<br>You need to ensure that your model supports the following: <br \/>\r<br>* Hidden Layers that support a directed graph structure. <br \/>\r<br>* User-defined core components on the GPU <br \/>\r<br>Solution: You create a Machine Learning Experiment that implements the Multiclass Decision Jungle Module. <br \/>\r<br>Does this meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_4' value='18614' \/><input type='hidden' id='answerType18614' 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-18614[]' id='answer-id-77041' class='answer   answerof-18614 ' value='77041'   \/><label for='answer-id-77041' id='answer-label-77041' class=' answer'><span>YES<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18614[]' id='answer-id-77042' class='answer   answerof-18614 ' value='77042'   \/><label for='answer-id-77042' id='answer-label-77042' class=' answer'><span>NO<\/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-18615'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution. <br \/>\r<br>You are working on an Azure Machine Learning Experiment. <br \/>\r<br>You have the dataset configured as shown in the following table: <br \/>\r<br><br><img decoding=\"async\" width=433 height=60 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/70-774%20V9.files\/image002.jpg\" v:shapes=\"Picture_x0020_1\"><br><br \/>\r<br>You need to ensure that you can compare the performance of the models and add annotations to the results. <br \/>\r<br>Solution: You consolidate the output of the Score Model modules by using the Add Rows module, and then use the Execute R Script module. <br \/>\r<br>Does this meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_5' value='18615' \/><input type='hidden' id='answerType18615' 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-18615[]' id='answer-id-77043' class='answer   answerof-18615 ' value='77043'   \/><label for='answer-id-77043' id='answer-label-77043' class=' answer'><span>YES<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18615[]' id='answer-id-77044' class='answer   answerof-18615 ' value='77044'   \/><label for='answer-id-77044' id='answer-label-77044' class=' answer'><span>NO<\/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-18616'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution. <br \/>\r<br>You are working on an Azure Machine Learning Experiment. <br \/>\r<br>You have the dataset configured as shown in the following table: <br \/>\r<br><br><img decoding=\"async\" width=433 height=60 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/70-774%20V9.files\/image002.jpg\" v:shapes=\"Picture_x0020_2\"><br><br \/>\r<br>You need to ensure that you can compare the performance of the models and add annotations to the results. <br \/>\r<br>Solution: You connect the Score Model modules from each trained model as inputs for the Evaluate Model module, and then save the result as a dataset. <br \/>\r<br>Does this meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_6' value='18616' \/><input type='hidden' id='answerType18616' 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-18616[]' id='answer-id-77045' class='answer   answerof-18616 ' value='77045'   \/><label for='answer-id-77045' id='answer-label-77045' class=' answer'><span>YES<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18616[]' id='answer-id-77046' class='answer   answerof-18616 ' value='77046'   \/><label for='answer-id-77046' id='answer-label-77046' class=' answer'><span>NO<\/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-18617'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/span>Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution. <br \/>\r<br>You are working on an Azure Machine Learning Experiment. <br \/>\r<br>You have the dataset configured as shown in the following table: <br \/>\r<br><br><img decoding=\"async\" width=433 height=60 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/70-774%20V9.files\/image002.jpg\" v:shapes=\"Picture_x0020_3\"><br><br \/>\r<br>You need to ensure that you can compare the performance of the models and add annotations to the results. <br \/>\r<br>Solution: You connect the Score Model modules from each trained model as inputs for the Evaluate Model module, and then use the Execute R Script Module. <br \/>\r<br>Does this meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_7' value='18617' \/><input type='hidden' id='answerType18617' 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-18617[]' id='answer-id-77047' class='answer   answerof-18617 ' value='77047'   \/><label for='answer-id-77047' id='answer-label-77047' class=' answer'><span>YES<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18617[]' id='answer-id-77048' class='answer   answerof-18617 ' value='77048'   \/><label for='answer-id-77048' id='answer-label-77048' class=' answer'><span>NO<\/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-18618'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution. <br \/>\r<br>You are working on an Azure Machine Learning Experiment. <br \/>\r<br>You have the dataset configured as shown in the following table: <br \/>\r<br><br><img decoding=\"async\" width=433 height=60 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/70-774%20V9.files\/image002.jpg\" v:shapes=\"Picture_x0020_4\"><br><br \/>\r<br>You need to ensure that you can compare the performance of the models and add annotations to the results. <br \/>\r<br>Solution: You save the output of the Score Model modules as a combined set, and then use the Project Columns modules to select the MAE. <br \/>\r<br>Does this meet the goal?<\/div><input type='hidden' name='question_id[]' id='qID_8' value='18618' \/><input type='hidden' id='answerType18618' 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-18618[]' id='answer-id-77049' class='answer   answerof-18618 ' value='77049'   \/><label for='answer-id-77049' id='answer-label-77049' class=' answer'><span>YES<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18618[]' id='answer-id-77050' class='answer   answerof-18618 ' value='77050'   \/><label for='answer-id-77050' id='answer-label-77050' class=' answer'><span>NO<\/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-18619'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>You have data about the following: <br \/>\r<br>* Users <br \/>\r<br>* Movies <br \/>\r<br>* User ratings of the movies <br \/>\r<br>You need to predict whether a user will like a particular movie. <br \/>\r<br>Which Matchbox recommender should you use?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='18619' \/><input type='hidden' id='answerType18619' 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-18619[]' id='answer-id-77051' class='answer   answerof-18619 ' value='77051'   \/><label for='answer-id-77051' id='answer-label-77051' class=' answer'><span>Item Recommendation<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18619[]' id='answer-id-77052' class='answer   answerof-18619 ' value='77052'   \/><label for='answer-id-77052' id='answer-label-77052' class=' answer'><span>Related items<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18619[]' id='answer-id-77053' class='answer   answerof-18619 ' value='77053'   \/><label for='answer-id-77053' id='answer-label-77053' class=' answer'><span>Rating Prediction<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18619[]' id='answer-id-77054' class='answer   answerof-18619 ' value='77054'   \/><label for='answer-id-77054' id='answer-label-77054' class=' answer'><span>Related Users.<\/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-18620'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/span>You have the following three training datasets for a restaurant: <br \/>\r<br>* User Feature <br \/>\r<br>* Item feature <br \/>\r<br>* Ratings of items by users <br \/>\r<br>You must recommend restaurants to a particular user based only on the users features. <br \/>\r<br>You need to use a Matchbox Recommender to make recommendations. <br \/>\r<br>How many input parameters should you specify?<\/div><input type='hidden' name='question_id[]' id='qID_10' value='18620' \/><input type='hidden' id='answerType18620' 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-18620[]' id='answer-id-77055' class='answer   answerof-18620 ' value='77055'   \/><label for='answer-id-77055' id='answer-label-77055' class=' answer'><span>1<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18620[]' id='answer-id-77056' class='answer   answerof-18620 ' value='77056'   \/><label for='answer-id-77056' id='answer-label-77056' class=' answer'><span>2<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18620[]' id='answer-id-77057' class='answer   answerof-18620 ' value='77057'   \/><label for='answer-id-77057' id='answer-label-77057' class=' answer'><span>3<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18620[]' id='answer-id-77058' class='answer   answerof-18620 ' value='77058'   \/><label for='answer-id-77058' id='answer-label-77058' class=' answer'><span>4<\/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-18621'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/span>DRAG DROP <br \/>\r<br>You have an Execute R Script module that has one input from either a Partition and Sample module or a Web Service input module. <br \/>\r<br>You need to preprocess tweets by using R. The Solution must meet the following requirements: <br \/>\r<br>* Remove digit <br \/>\r<br>* Remove punctuation <br \/>\r<br>* Convert to lowercase <br \/>\r<br>How should you complete the R code? To answer drag the appropriate value to correct Target. <br \/>\r<br><br><img decoding=\"async\" width=624 height=159 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/70-774%20V9.files\/image004.jpg\" v:shapes=\"Picture_x0020_5\"><br><\/div><input type='hidden' name='question_id[]' id='qID_11' value='18621' \/><input type='hidden' id='answerType18621' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-18621[]' id='textarea_q_18621' 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-18622'>\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 I 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 correct solution. <br \/>\r<br>Start of repeated Scenario: <br \/>\r<br>A Travel agency named Margie\u2019s Travel sells airline tickets to customers in the United States. <br \/>\r<br>Margie\u2019s Travel wants you to provide insights and predictions on flight delays. The agency is considering implementing a system that will communicate to its customers as the flight departure near about possible delays due to weather conditions. <br \/>\r<br>The flight data contains the following attributes: <br \/>\r<br>* DepartureDate: The departure date aggregated at a per hour granularity. <br \/>\r<br>* Carrier: The code assigned by the IATA and commonly used to identify a carrier. <br \/>\r<br>* OriginAirportID: An identification number assigned by the USDOT to identify a unique airport (the flight\u2019s Origin) <br \/>\r<br>* DestAirportID: The departure delay in minutes. <br \/>\r<br>*DepDet30: A Boolean value indicating whether the departure was delayed by 30 minutes or more ( a value of 1 indicates that the departure was delayed by 30 minutes or more) <br \/>\r<br>The weather data contains the following Attributes: AirportID, ReadingDate (YYYY\/MM\/DD HH), SKYConditionVisibility, WeatherType, Windspeed, StationPressure, PressureChange and HourlyPrecip. <br \/>\r<br>End of repeated Scenario: <br \/>\r<br>You need to use historical data about on-time flight performance and the weather data to predict whether the departure of a scheduled flight will be delayed by more than 30 minutes. <br \/>\r<br>Which method should you use?<\/div><input type='hidden' name='question_id[]' id='qID_12' value='18622' \/><input type='hidden' id='answerType18622' 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-18622[]' id='answer-id-77060' class='answer   answerof-18622 ' value='77060'   \/><label for='answer-id-77060' id='answer-label-77060' class=' answer'><span>Clustering<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18622[]' id='answer-id-77061' class='answer   answerof-18622 ' value='77061'   \/><label for='answer-id-77061' id='answer-label-77061' class=' answer'><span>Linear regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18622[]' id='answer-id-77062' class='answer   answerof-18622 ' value='77062'   \/><label for='answer-id-77062' id='answer-label-77062' class=' answer'><span>Classification<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18622[]' id='answer-id-77063' class='answer   answerof-18622 ' value='77063'   \/><label for='answer-id-77063' id='answer-label-77063' class=' answer'><span>anomaly detection<\/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-18623'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/span>DRAG DROP <br \/>\r<br>Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution. <br \/>\r<br>Start of repeated Scenario: <br \/>\r<br>A Travel agency named Margie\u2019s Travel sells airline tickets to customers in the United States. <br \/>\r<br>Margie\u2019s Travel wants you to provide insights and predictions on flight delays. The agency is considering implementing a system that will communicate to its customers as the flight departure near about possible delays due to weather conditions. <br \/>\r<br>The flight data contains the following attributes: <br \/>\r<br>* DepartureDate: The departure date aggregated at a per hour granularity. <br \/>\r<br>* Carrier: The code assigned by the IATA and commonly used to identify a carrier. <br \/>\r<br>* OriginAirportID: An identification number assigned by the USDOT to identify a unique airport (the flight\u2019s Origin) <br \/>\r<br>* DestAirportID: The departure delay in minutes. <br \/>\r<br>*DepDet30: A Boolean value indicating whether the departure was delayed by 30 minutes or more ( a value of 1 indicates that the departure was delayed by 30 minutes or more) <br \/>\r<br>The weather data contains the following Attributes: AirportID, ReadingDate (YYYY\/MM\/DD HH), SKYConditionVisibility, WeatherType, Windspeed, StationPressure, PressureChange and HourlyPrecip. <br \/>\r<br>End of repeated Scenario: <br \/>\r<br>You need to remove the bias and to identify the columns in the input dataset that have the greatest predictive power. <br \/>\r<br>Which module should you use for each requirement? To answer drag the appropriate modules to the correct requirements. <br \/>\r<br><br><img decoding=\"async\" border=0 width=624 height=188 src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2018\/exams\/70-774%20V9.files\/image008.gif\" v:shapes=\"Picture_x0020_7\"><br><\/div><input type='hidden' name='question_id[]' id='qID_13' value='18623' \/><input type='hidden' id='answerType18623' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-18623[]' id='textarea_q_18623' 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-18624'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/span>Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution. <br \/>\r<br>Start of repeated Scenario: <br \/>\r<br>A Travel agency named Margie\u2019s Travel sells airline tickets to customers in the United States. <br \/>\r<br>Margie\u2019s Travel wants you to provide insights and predictions on flight delays. The agency is considering implementing a system that will communicate to its customers as the flight departure near about possible delays due to weather conditions. <br \/>\r<br>The flight data contains the following attributes: <br \/>\r<br>* DepartureDate: The departure date aggregated at a per hour granularity. <br \/>\r<br>* Carrier: The code assigned by the IATA and commonly used to identify a carrier. <br \/>\r<br>* OriginAirportID: An identification number assigned by the USDOT to identify a unique airport (the flight\u2019s Origin) <br \/>\r<br>* DestAirportID: The departure delay in minutes. <br \/>\r<br>*DepDet30: A Boolean value indicating whether the departure was delayed by 30 minutes or more ( a value of 1 indicates that the departure was delayed by 30 minutes or more) <br \/>\r<br>The weather data contains the following Attributes: AirportID, ReadingDate (YYYY\/MM\/DD HH), SKYConditionVisibility, WeatherType, Windspeed, StationPressure, PressureChange and HourlyPrecip. <br \/>\r<br>End of repeated Scenario: <br \/>\r<br>You have an untrained Azure Machine Learning model that you plan to train to predict flight delays. <br \/>\r<br>You need to assess the variability of the dataset and the reliability of the predictions from the model. <br \/>\r<br>Which modules should you use?<\/div><input type='hidden' name='question_id[]' id='qID_14' value='18624' \/><input type='hidden' id='answerType18624' 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-18624[]' id='answer-id-77065' class='answer   answerof-18624 ' value='77065'   \/><label for='answer-id-77065' id='answer-label-77065' class=' answer'><span>Cross-validate Model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18624[]' id='answer-id-77066' class='answer   answerof-18624 ' value='77066'   \/><label for='answer-id-77066' id='answer-label-77066' class=' answer'><span>Evaluate Model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18624[]' id='answer-id-77067' class='answer   answerof-18624 ' value='77067'   \/><label for='answer-id-77067' id='answer-label-77067' class=' answer'><span>Tune Model Hyperparameters<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18624[]' id='answer-id-77068' class='answer   answerof-18624 ' value='77068'   \/><label for='answer-id-77068' id='answer-label-77068' class=' answer'><span>Train Model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18624[]' id='answer-id-77069' class='answer   answerof-18624 ' value='77069'   \/><label for='answer-id-77069' id='answer-label-77069' class=' answer'><span>Score Model<\/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-18625'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution. <br \/>\r<br>Start of repeated Scenario: <br \/>\r<br>A Travel agency named Margie\u2019s Travel sells airline tickets to customers in the United States. <br \/>\r<br>Margie\u2019s Travel wants you to provide insights and predictions on flight delays. The agency is considering implementing a system that will communicate to its customers as the flight departure near about possible delays due to weather conditions. <br \/>\r<br>The flight data contains the following attributes: <br \/>\r<br>* DepartureDate: The departure date aggregated at a per hour granularity. <br \/>\r<br>* Carrier: The code assigned by the IATA and commonly used to identify a carrier. <br \/>\r<br>* OriginAirportID: An identification number assigned by the USDOT to identify a unique airport (the flight\u2019s Origin) <br \/>\r<br>* DestAirportID: The departure delay in minutes. <br \/>\r<br>*DepDet30: A Boolean value indicating whether the departure was delayed by 30 minutes or more ( a value of 1 indicates that the departure was delayed by 30 minutes or more) <br \/>\r<br>The weather data contains the following Attributes: AirportID, ReadingDate (YYYY\/MM\/DD HH), SKYConditionVisibility, WeatherType, Windspeed, StationPressure, PressureChange and HourlyPrecip. <br \/>\r<br>End of repeated Scenario: <br \/>\r<br>You plan to predict flight delays that are 30 minutes or more. <br \/>\r<br>You need to build a training model that accurately fits the data. The solution must minimize over fitting and minimize data leakage. Which attribute should you remove?<\/div><input type='hidden' name='question_id[]' id='qID_15' value='18625' \/><input type='hidden' id='answerType18625' 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-18625[]' id='answer-id-77070' class='answer   answerof-18625 ' value='77070'   \/><label for='answer-id-77070' id='answer-label-77070' class=' answer'><span>OriginAirportID<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18625[]' id='answer-id-77071' class='answer   answerof-18625 ' value='77071'   \/><label for='answer-id-77071' id='answer-label-77071' class=' answer'><span>DepDel<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18625[]' id='answer-id-77072' class='answer   answerof-18625 ' value='77072'   \/><label for='answer-id-77072' id='answer-label-77072' class=' answer'><span>DepDel30<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18625[]' id='answer-id-77073' class='answer   answerof-18625 ' value='77073'   \/><label for='answer-id-77073' id='answer-label-77073' class=' answer'><span>Carrier<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18625[]' id='answer-id-77074' class='answer   answerof-18625 ' value='77074'   \/><label for='answer-id-77074' id='answer-label-77074' class=' answer'><span>DestAirportID<\/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-18626'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution. <br \/>\r<br>You need to remove rows that have an empty value in a specific column. The solution must use a native module. Which module should you use?<\/div><input type='hidden' name='question_id[]' id='qID_16' value='18626' \/><input type='hidden' id='answerType18626' 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-18626[]' id='answer-id-77075' class='answer   answerof-18626 ' value='77075'   \/><label for='answer-id-77075' id='answer-label-77075' class=' answer'><span>Execute Python Script<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18626[]' id='answer-id-77076' class='answer   answerof-18626 ' value='77076'   \/><label for='answer-id-77076' id='answer-label-77076' class=' answer'><span>Tune Model Hyperparameters<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18626[]' id='answer-id-77077' class='answer   answerof-18626 ' value='77077'   \/><label for='answer-id-77077' id='answer-label-77077' class=' answer'><span>Normalize Data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18626[]' id='answer-id-77078' class='answer   answerof-18626 ' value='77078'   \/><label for='answer-id-77078' id='answer-label-77078' class=' answer'><span>Select Columns in Dataset<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18626[]' id='answer-id-77079' class='answer   answerof-18626 ' value='77079'   \/><label for='answer-id-77079' id='answer-label-77079' class=' answer'><span>Import Data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18626[]' id='answer-id-77080' class='answer   answerof-18626 ' value='77080'   \/><label for='answer-id-77080' id='answer-label-77080' class=' answer'><span>Edit Metadata<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18626[]' id='answer-id-77081' class='answer   answerof-18626 ' value='77081'   \/><label for='answer-id-77081' id='answer-label-77081' class=' answer'><span>Clip Values<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18626[]' id='answer-id-77082' class='answer   answerof-18626 ' value='77082'   \/><label for='answer-id-77082' id='answer-label-77082' class=' answer'><span>Clean Missing Data<\/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-18627'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution. <br \/>\r<br>You have a non-tabular file that is saved in Azure Blob Storage. <br \/>\r<br>You need to download the file locally, access the data in the file, and then format the data as a dataset. <br \/>\r<br>Which module should you use?<\/div><input type='hidden' name='question_id[]' id='qID_17' value='18627' \/><input type='hidden' id='answerType18627' 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-18627[]' id='answer-id-77083' class='answer   answerof-18627 ' value='77083'   \/><label for='answer-id-77083' id='answer-label-77083' class=' answer'><span>Execute Python Script<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18627[]' id='answer-id-77084' class='answer   answerof-18627 ' value='77084'   \/><label for='answer-id-77084' id='answer-label-77084' class=' answer'><span>Tune Model Hyperparameters<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18627[]' id='answer-id-77085' class='answer   answerof-18627 ' value='77085'   \/><label for='answer-id-77085' id='answer-label-77085' class=' answer'><span>Normalize Data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18627[]' id='answer-id-77086' class='answer   answerof-18627 ' value='77086'   \/><label for='answer-id-77086' id='answer-label-77086' class=' answer'><span>Select Columns in Dataset<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18627[]' id='answer-id-77087' class='answer   answerof-18627 ' value='77087'   \/><label for='answer-id-77087' id='answer-label-77087' class=' answer'><span>Import Data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18627[]' id='answer-id-77088' class='answer   answerof-18627 ' value='77088'   \/><label for='answer-id-77088' id='answer-label-77088' class=' answer'><span>Edit Metadata<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18627[]' id='answer-id-77089' class='answer   answerof-18627 ' value='77089'   \/><label for='answer-id-77089' id='answer-label-77089' class=' answer'><span>Clip Values<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18627[]' id='answer-id-77090' class='answer   answerof-18627 ' value='77090'   \/><label for='answer-id-77090' id='answer-label-77090' class=' answer'><span>Clean Missing Data<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-18' style=';'><div id='questionWrap-18'  class='   watupro-question-id-18628'>\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 I 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 correct solution. <br \/>\r<br>You have a dataset that contains a column named Column1. Column1 is empty. <br \/>\r<br>You need to omit Column1 from the dataset. The solution must use a native module. Which module should you use?<\/div><input type='hidden' name='question_id[]' id='qID_18' value='18628' \/><input type='hidden' id='answerType18628' 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-18628[]' id='answer-id-77091' class='answer   answerof-18628 ' value='77091'   \/><label for='answer-id-77091' id='answer-label-77091' class=' answer'><span>Clip Values<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18628[]' id='answer-id-77092' class='answer   answerof-18628 ' value='77092'   \/><label for='answer-id-77092' id='answer-label-77092' class=' answer'><span>Edit Metadata<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18628[]' id='answer-id-77093' class='answer   answerof-18628 ' value='77093'   \/><label for='answer-id-77093' id='answer-label-77093' class=' answer'><span>Import Data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18628[]' id='answer-id-77094' class='answer   answerof-18628 ' value='77094'   \/><label for='answer-id-77094' id='answer-label-77094' class=' answer'><span>Normalize Data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18628[]' id='answer-id-77095' class='answer   answerof-18628 ' value='77095'   \/><label for='answer-id-77095' id='answer-label-77095' class=' answer'><span>Execute Python Script<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18628[]' id='answer-id-77096' class='answer   answerof-18628 ' value='77096'   \/><label for='answer-id-77096' id='answer-label-77096' class=' answer'><span>Select columns in dataset<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18628[]' id='answer-id-77097' class='answer   answerof-18628 ' value='77097'   \/><label for='answer-id-77097' id='answer-label-77097' class=' answer'><span>Tune Model Hyperparamters<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18628[]' id='answer-id-77098' class='answer   answerof-18628 ' value='77098'   \/><label for='answer-id-77098' id='answer-label-77098' class=' answer'><span>Clean Missing data<\/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-18629'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>Note: This question is part of a series of questions that present the same Scenario. Each question I 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 correct solution. <br \/>\r<br>You need to use only one percent of an Apache hive Data table by conducting random sampling by groups. <br \/>\r<br>Which module should you use?<\/div><input type='hidden' name='question_id[]' id='qID_19' value='18629' \/><input type='hidden' id='answerType18629' 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-18629[]' id='answer-id-77099' class='answer   answerof-18629 ' value='77099'   \/><label for='answer-id-77099' id='answer-label-77099' class=' answer'><span>Normalize Data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18629[]' id='answer-id-77100' class='answer   answerof-18629 ' value='77100'   \/><label for='answer-id-77100' id='answer-label-77100' class=' answer'><span>Tune Model Hyperparameters.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18629[]' id='answer-id-77101' class='answer   answerof-18629 ' value='77101'   \/><label for='answer-id-77101' id='answer-label-77101' class=' answer'><span>Edit Metadata<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18629[]' id='answer-id-77102' class='answer   answerof-18629 ' value='77102'   \/><label for='answer-id-77102' id='answer-label-77102' class=' answer'><span>Clip Values<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18629[]' id='answer-id-77103' class='answer   answerof-18629 ' value='77103'   \/><label for='answer-id-77103' id='answer-label-77103' class=' answer'><span>Clean Missing Data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18629[]' id='answer-id-77104' class='answer   answerof-18629 ' value='77104'   \/><label for='answer-id-77104' id='answer-label-77104' class=' answer'><span>Import Data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18629[]' id='answer-id-77105' class='answer   answerof-18629 ' value='77105'   \/><label for='answer-id-77105' id='answer-label-77105' class=' answer'><span>Select Columns in Dataset<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-18629[]' id='answer-id-77106' class='answer   answerof-18629 ' value='77106'   \/><label for='answer-id-77106' id='answer-label-77106' class=' answer'><span>Execute Python Script<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div style='display:none' id='question-20'>\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=\"watuPROButtons716\" >\n\t\t  <div id=\"prev-question\" style=\"display:none;\"><input type=\"button\" value=\"&lt; 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   \t \n<\/script>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Microsoft certifications are highly demanded across large and small IT organizations across the world, and 70-774 exam is one of them. New 70-774 Perform Cloud Data Science with Azure Machine Learning dumps is the best source where you can get all the available online exam material. Prepare yourself to face your 70-774 exam with new [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[160,101],"tags":[4533,4534,4535,1373,4536],"class_list":["post-1821","post","type-post","status-publish","format-standard","hentry","category-mcsa","category-microsoft","tag-70-774","tag-70-774-dumps","tag-70-774-exam-answers","tag-70-774-exam-dumps","tag-70-774-exam-materials"],"_links":{"self":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/1821","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=1821"}],"version-history":[{"count":1,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/1821\/revisions"}],"predecessor-version":[{"id":1822,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/1821\/revisions\/1822"}],"wp:attachment":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/media?parent=1821"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/categories?post=1821"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/tags?post=1821"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}