{"id":106230,"date":"2025-07-24T06:57:01","date_gmt":"2025-07-24T06:57:01","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=106230"},"modified":"2025-08-01T07:36:24","modified_gmt":"2025-08-01T07:36:24","slug":"new-pegacpds24v1-dumps-v8-02-for-certified-pega-data-scientist-24-exam-preparation-read-pegacpds24v1-free-dumps-part-1-q1-q40-first","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/new-pegacpds24v1-dumps-v8-02-for-certified-pega-data-scientist-24-exam-preparation-read-pegacpds24v1-free-dumps-part-1-q1-q40-first.html","title":{"rendered":"New PEGACPDS24V1 Dumps (V8.02) for Certified Pega Data Scientist \u201824 Exam Preparation: Read PEGACPDS24V1 Free Dumps (Part 1, Q1-Q40) First"},"content":{"rendered":"<p>Whether you&#8217;re seeking to advance in your current role or explore new opportunities in the tech industry, earning the Pega Data Scientist certification proves your expertise and opens doors to higher-level positions. And the Pegasystems Certified Pega Data Scientist \u201824 is available online. To prepare for the PEGACPDS24V1 exam, you need to complete comprehensive preparation with DumpsBase. We have new PEGACPDS24V1 dumps (V8.02) to help you succeed on your first attempt, and make all the difference. By using Pegasystems PEGACPDS24V1 exam dumps regularly, you not only improve your confidence but also identify knowledge gaps early in your study plan. This method ensures that you are fully equipped to tackle even the toughest sections of the Certified Pega Data Scientist. And here, you can check our free dumps to verify for guaranteed pass.<\/p>\n<h2>Below are the Pega Data Scientist <span style=\"background-color: #00ffff;\"><em>PEGACPDS24V1 free dumps (Part 1, Q1-Q40)<\/em><\/span> for checking:<\/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=\"submittingExam10458\" 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-10458\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-10458\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-414153'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>The Prioritize component always outputs __________.<\/div><input type='hidden' name='question_id[]' id='qID_1' value='414153' \/><input type='hidden' id='answerType414153' 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-414153[]' id='answer-id-1604952' class='answer   answerof-414153 ' value='1604952'   \/><label for='answer-id-1604952' id='answer-label-1604952' class=' answer'><span>on arbitrary number of offers<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414153[]' id='answer-id-1604953' class='answer   answerof-414153 ' value='1604953'   \/><label for='answer-id-1604953' id='answer-label-1604953' class=' answer'><span>top 1 offer<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414153[]' id='answer-id-1604954' class='answer   answerof-414153 ' value='1604954'   \/><label for='answer-id-1604954' id='answer-label-1604954' class=' answer'><span>top 3 offers<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414153[]' id='answer-id-1604955' class='answer   answerof-414153 ' value='1604955'   \/><label for='answer-id-1604955' id='answer-label-1604955' class=' answer'><span>all eligible offers<\/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-414154'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>An Adaptive model component in a decision strategy can output ____________.<\/div><input type='hidden' name='question_id[]' id='qID_2' value='414154' \/><input type='hidden' id='answerType414154' 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-414154[]' id='answer-id-1604956' class='answer   answerof-414154 ' value='1604956'   \/><label for='answer-id-1604956' id='answer-label-1604956' class=' answer'><span>an optimized strategy<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414154[]' id='answer-id-1604957' class='answer   answerof-414154 ' value='1604957'   \/><label for='answer-id-1604957' id='answer-label-1604957' class=' answer'><span>the customer's propensity to accept an action<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414154[]' id='answer-id-1604958' class='answer   answerof-414154 ' value='1604958'   \/><label for='answer-id-1604958' id='answer-label-1604958' class=' answer'><span>the number of customers eligible for an action<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414154[]' id='answer-id-1604959' class='answer   answerof-414154 ' value='1604959'   \/><label for='answer-id-1604959' id='answer-label-1604959' class=' answer'><span>an action<\/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-414155'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>A data scientist and an application developer must configure a chatbot to improve customer service response time. The application developer created the digital messaging channel. <br \/>\r<br>What is the next step for the data scientist?<\/div><input type='hidden' name='question_id[]' id='qID_3' value='414155' \/><input type='hidden' id='answerType414155' 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-414155[]' id='answer-id-1604960' class='answer   answerof-414155 ' value='1604960'   \/><label for='answer-id-1604960' id='answer-label-1604960' class=' answer'><span>Create a new text prediction and associate it with the digital messaging channel that the application developer creates.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414155[]' id='answer-id-1604961' class='answer   answerof-414155 ' value='1604961'   \/><label for='answer-id-1604961' id='answer-label-1604961' class=' answer'><span>Create and train a new text prediction and inform the application developer.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414155[]' id='answer-id-1604962' class='answer   answerof-414155 ' value='1604962'   \/><label for='answer-id-1604962' id='answer-label-1604962' class=' answer'><span>Modify pySystemEntities model to meet business needs, and then associate it with the digital messaging channel that the application developer created.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414155[]' id='answer-id-1604963' class='answer   answerof-414155 ' value='1604963'   \/><label for='answer-id-1604963' id='answer-label-1604963' class=' answer'><span>Train the text prediction that the system generates.<\/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-414156'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>A coffee company wants to create a data set that includes mock up customer address information and the likelihood to churn. <br \/>\r<br>Which method is available to populate these fields?<\/div><input type='hidden' name='question_id[]' id='qID_4' value='414156' \/><input type='hidden' id='answerType414156' 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-414156[]' id='answer-id-1604964' class='answer   answerof-414156 ' value='1604964'   \/><label for='answer-id-1604964' id='answer-label-1604964' class=' answer'><span>Bayesian<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414156[]' id='answer-id-1604965' class='answer   answerof-414156 ' value='1604965'   \/><label for='answer-id-1604965' id='answer-label-1604965' class=' answer'><span>Propensity<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414156[]' id='answer-id-1604966' class='answer   answerof-414156 ' value='1604966'   \/><label for='answer-id-1604966' id='answer-label-1604966' class=' answer'><span>Expression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414156[]' id='answer-id-1604967' class='answer   answerof-414156 ' value='1604967'   \/><label for='answer-id-1604967' id='answer-label-1604967' class=' answer'><span>Import<\/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-414157'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>What is entity extraction in NLP?<\/div><input type='hidden' name='question_id[]' id='qID_5' value='414157' \/><input type='hidden' id='answerType414157' 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-414157[]' id='answer-id-1604968' class='answer   answerof-414157 ' value='1604968'   \/><label for='answer-id-1604968' id='answer-label-1604968' class=' answer'><span>The process of identifying the subject of a sentence<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414157[]' id='answer-id-1604969' class='answer   answerof-414157 ' value='1604969'   \/><label for='answer-id-1604969' id='answer-label-1604969' class=' answer'><span>The process of identifying the sentiment of a sentence<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414157[]' id='answer-id-1604970' class='answer   answerof-414157 ' value='1604970'   \/><label for='answer-id-1604970' id='answer-label-1604970' class=' answer'><span>The process of identifying the action that a user intends to take based on their input<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414157[]' id='answer-id-1604971' class='answer   answerof-414157 ' value='1604971'   \/><label for='answer-id-1604971' id='answer-label-1604971' class=' answer'><span>The process of identifying specific entities or objects mentioned in a sentence, such as people, places, and organizations<\/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-414158'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>An application developer and a data scientist are working together on a chatbot project. They want the chatbot to detect that the customer wants to change the account home address. <br \/>\r<br>To achieve this goal, the chatbot must: <br \/>\r<br>- Detect the topic of the message <br \/>\r<br>- Run the correct case type <br \/>\r<br>- Extract 2 entities: new address and account number. <br \/>\r<br>What main tasks must they do to achieve this business scenario? (Choose Three)<\/div><input type='hidden' name='question_id[]' id='qID_6' value='414158' \/><input type='hidden' id='answerType414158' 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-414158[]' id='answer-id-1604972' class='answer   answerof-414158 ' value='1604972'   \/><label for='answer-id-1604972' id='answer-label-1604972' class=' answer'><span>The application developer creates the digital messaging channel.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414158[]' id='answer-id-1604973' class='answer   answerof-414158 ' value='1604973'   \/><label for='answer-id-1604973' id='answer-label-1604973' class=' answer'><span>The application developer creates the case type and designs the conversation flow.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414158[]' id='answer-id-1604974' class='answer   answerof-414158 ' value='1604974'   \/><label for='answer-id-1604974' id='answer-label-1604974' class=' answer'><span>The data scientist uses the entity extraction model from pySystemEntities model and trains the topic detection model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414158[]' id='answer-id-1604975' class='answer   answerof-414158 ' value='1604975'   \/><label for='answer-id-1604975' id='answer-label-1604975' class=' answer'><span>The data scientist creates the text prediction and builds one topic detection and two entity extraction models.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414158[]' id='answer-id-1604976' class='answer   answerof-414158 ' value='1604976'   \/><label for='answer-id-1604976' id='answer-label-1604976' class=' answer'><span>The data scientist trains the text prediction: One topic detection model and several entity extraction models.<\/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-414159'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/span>U+ Bank introduces a new credit card that has no historical customer behavior data. U+ Bank wants to offer this credit card on the personalized web portal. <br \/>\r<br>Given the scenario, which rule type must you use?<\/div><input type='hidden' name='question_id[]' id='qID_7' value='414159' \/><input type='hidden' id='answerType414159' 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-414159[]' id='answer-id-1604977' class='answer   answerof-414159 ' value='1604977'   \/><label for='answer-id-1604977' id='answer-label-1604977' class=' answer'><span>Adaptive model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414159[]' id='answer-id-1604978' class='answer   answerof-414159 ' value='1604978'   \/><label for='answer-id-1604978' id='answer-label-1604978' class=' answer'><span>Pega machine learning model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414159[]' id='answer-id-1604979' class='answer   answerof-414159 ' value='1604979'   \/><label for='answer-id-1604979' id='answer-label-1604979' class=' answer'><span>When rule<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414159[]' id='answer-id-1604980' class='answer   answerof-414159 ' value='1604980'   \/><label for='answer-id-1604980' id='answer-label-1604980' class=' answer'><span>Decision table<\/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-414160'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>As a data scientist, you want to export the model data and the predictor data for the Credit Cards group from the Grow business issue for further analysis. You are tasked to modify the data flow that selects the correct data. Match the data flow component to the function it achieves. <br \/>\r<br><br><img decoding=\"async\" width=649 height=191 id=\"\u56fe\u7247 8\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/07\/image001-13.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_8' value='414160' \/><input type='hidden' id='answerType414160' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-414160[]' id='textarea_q_414160' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-9' style=';'><div id='questionWrap-9'  class='   watupro-question-id-414161'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>What is Adaptive Analytics?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='414161' \/><input type='hidden' id='answerType414161' 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-414161[]' id='answer-id-1604982' class='answer   answerof-414161 ' value='1604982'   \/><label for='answer-id-1604982' id='answer-label-1604982' class=' answer'><span>A statistical technique for analyzing data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414161[]' id='answer-id-1604983' class='answer   answerof-414161 ' value='1604983'   \/><label for='answer-id-1604983' id='answer-label-1604983' class=' answer'><span>A machine learning algorithm for predicting future outcomes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414161[]' id='answer-id-1604984' class='answer   answerof-414161 ' value='1604984'   \/><label for='answer-id-1604984' id='answer-label-1604984' class=' answer'><span>A flexible approach to data analysis that can adapt to changing business needs and data environments<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414161[]' id='answer-id-1604985' class='answer   answerof-414161 ' value='1604985'   \/><label for='answer-id-1604985' id='answer-label-1604985' class=' answer'><span>A software application for managing business workflows<\/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-414162'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/span>You can use various data types in adaptive analytics. Some of these require preprocessing before being used as a potential predictor. Others can be used directly. <br \/>\r<br>Which two data types require no preprocessing? (Choose Two)<\/div><input type='hidden' name='question_id[]' id='qID_10' value='414162' \/><input type='hidden' id='answerType414162' 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-414162[]' id='answer-id-1604986' class='answer   answerof-414162 ' value='1604986'   \/><label for='answer-id-1604986' id='answer-label-1604986' class=' answer'><span>Event stream data, such as recent transactions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414162[]' id='answer-id-1604987' class='answer   answerof-414162 ' value='1604987'   \/><label for='answer-id-1604987' id='answer-label-1604987' class=' answer'><span>Symbolic data with up to 200 distinct values, such as products bought previously<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414162[]' id='answer-id-1604988' class='answer   answerof-414162 ' value='1604988'   \/><label for='answer-id-1604988' id='answer-label-1604988' class=' answer'><span>Text data such as Twitter messages<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414162[]' id='answer-id-1604989' class='answer   answerof-414162 ' value='1604989'   \/><label for='answer-id-1604989' id='answer-label-1604989' class=' answer'><span>Dates with absolute time\/date values, such as birthdays<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414162[]' id='answer-id-1604990' class='answer   answerof-414162 ' value='1604990'   \/><label for='answer-id-1604990' id='answer-label-1604990' class=' answer'><span>Numeric data such as customer age and income<\/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-414163'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/span>U+ Bank wants to offer a 10% discount for customers whose CLV value is higher than 400. <br \/>\r<br>Which strategy component should you use to meet the new requirement?<\/div><input type='hidden' name='question_id[]' id='qID_11' value='414163' \/><input type='hidden' id='answerType414163' 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-414163[]' id='answer-id-1604991' class='answer   answerof-414163 ' value='1604991'   \/><label for='answer-id-1604991' id='answer-label-1604991' class=' answer'><span>Group by<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414163[]' id='answer-id-1604992' class='answer   answerof-414163 ' value='1604992'   \/><label for='answer-id-1604992' id='answer-label-1604992' class=' answer'><span>Prioritize<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414163[]' id='answer-id-1604993' class='answer   answerof-414163 ' value='1604993'   \/><label for='answer-id-1604993' id='answer-label-1604993' class=' answer'><span>Filter<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414163[]' id='answer-id-1604994' class='answer   answerof-414163 ' value='1604994'   \/><label for='answer-id-1604994' id='answer-label-1604994' class=' answer'><span>Set property<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-12' style=';'><div id='questionWrap-12'  class='   watupro-question-id-414164'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/span>The purpose of regular inspection is to detect factors that negatively influence the performance of the adaptive models and the success rate of the actions. <br \/>\r<br>Which two issues should be discussed with the business? (Choose Two)<\/div><input type='hidden' name='question_id[]' id='qID_12' value='414164' \/><input type='hidden' id='answerType414164' 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-414164[]' id='answer-id-1604995' class='answer   answerof-414164 ' value='1604995'   \/><label for='answer-id-1604995' id='answer-label-1604995' class=' answer'><span>Actions that are offered so often that they dominate other actions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414164[]' id='answer-id-1604996' class='answer   answerof-414164 ' value='1604996'   \/><label for='answer-id-1604996' id='answer-label-1604996' class=' answer'><span>Actions that have a low number of responses<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414164[]' id='answer-id-1604997' class='answer   answerof-414164 ' value='1604997'   \/><label for='answer-id-1604997' id='answer-label-1604997' class=' answer'><span>Actions for which the model is not predictive<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414164[]' id='answer-id-1604998' class='answer   answerof-414164 ' value='1604998'   \/><label for='answer-id-1604998' id='answer-label-1604998' class=' answer'><span>Predictors with a low performance_________<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414164[]' id='answer-id-1604999' class='answer   answerof-414164 ' value='1604999'   \/><label for='answer-id-1604999' id='answer-label-1604999' class=' answer'><span>Predictors that are never used<\/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-414165'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/span>What are the benefits of using Predictive Analytics?<\/div><input type='hidden' name='question_id[]' id='qID_13' value='414165' \/><input type='hidden' id='answerType414165' 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-414165[]' id='answer-id-1605000' class='answer   answerof-414165 ' value='1605000'   \/><label for='answer-id-1605000' id='answer-label-1605000' class=' answer'><span>Faster insights from data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414165[]' id='answer-id-1605001' class='answer   answerof-414165 ' value='1605001'   \/><label for='answer-id-1605001' id='answer-label-1605001' class=' answer'><span>More accurate predictions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414165[]' id='answer-id-1605002' class='answer   answerof-414165 ' value='1605002'   \/><label for='answer-id-1605002' id='answer-label-1605002' class=' answer'><span>Increased agility in responding to changing business needs<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414165[]' id='answer-id-1605003' class='answer   answerof-414165 ' value='1605003'   \/><label for='answer-id-1605003' id='answer-label-1605003' class=' answer'><span>Improved customer service<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-14' style=';'><div id='questionWrap-14'  class='   watupro-question-id-414166'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/span>You have created a predictive model using R and have exported it to Predictive Model Markup Language (PMML). <br \/>\r<br>Which component in a decision strategy do you use to leverage the PMML model?<\/div><input type='hidden' name='question_id[]' id='qID_14' value='414166' \/><input type='hidden' id='answerType414166' 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-414166[]' id='answer-id-1605004' class='answer   answerof-414166 ' value='1605004'   \/><label for='answer-id-1605004' id='answer-label-1605004' class=' answer'><span>Third-party model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414166[]' id='answer-id-1605005' class='answer   answerof-414166 ' value='1605005'   \/><label for='answer-id-1605005' id='answer-label-1605005' class=' answer'><span>Predictive model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414166[]' id='answer-id-1605006' class='answer   answerof-414166 ' value='1605006'   \/><label for='answer-id-1605006' id='answer-label-1605006' class=' answer'><span>Scorecard model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414166[]' id='answer-id-1605007' class='answer   answerof-414166 ' value='1605007'   \/><label for='answer-id-1605007' id='answer-label-1605007' class=' answer'><span>Decision tree<\/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-414167'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>The purpose of predictions is to______________<\/div><input type='hidden' name='question_id[]' id='qID_15' value='414167' \/><input type='hidden' id='answerType414167' 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-414167[]' id='answer-id-1605008' class='answer   answerof-414167 ' value='1605008'   \/><label for='answer-id-1605008' id='answer-label-1605008' class=' answer'><span>monitor the success rate of individual actions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414167[]' id='answer-id-1605009' class='answer   answerof-414167 ' value='1605009'   \/><label for='answer-id-1605009' id='answer-label-1605009' class=' answer'><span>add predictors to adaptive models<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414167[]' id='answer-id-1605010' class='answer   answerof-414167 ' value='1605010'   \/><label for='answer-id-1605010' id='answer-label-1605010' class=' answer'><span>build adaptive models<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414167[]' id='answer-id-1605011' class='answer   answerof-414167 ' value='1605011'   \/><label for='answer-id-1605011' id='answer-label-1605011' class=' answer'><span>add best data scientist practices to adaptive models<\/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-414168'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>What are two results of an Adaptive Model? (Choose Two)<\/div><input type='hidden' name='question_id[]' id='qID_16' value='414168' \/><input type='hidden' id='answerType414168' 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-414168[]' id='answer-id-1605012' class='answer   answerof-414168 ' value='1605012'   \/><label for='answer-id-1605012' id='answer-label-1605012' class=' answer'><span>Priority<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414168[]' id='answer-id-1605013' class='answer   answerof-414168 ' value='1605013'   \/><label for='answer-id-1605013' id='answer-label-1605013' class=' answer'><span>Propensity<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414168[]' id='answer-id-1605014' class='answer   answerof-414168 ' value='1605014'   \/><label for='answer-id-1605014' id='answer-label-1605014' class=' answer'><span>Segment<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414168[]' id='answer-id-1605015' class='answer   answerof-414168 ' value='1605015'   \/><label for='answer-id-1605015' id='answer-label-1605015' class=' answer'><span>Performance<\/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-414169'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>U+ Bank, a retail bank, recently implemented a project in which credit card offers are presented to qualified customers when they log in to the web self-service portal. The bank does not want any bias except to satisfy the eligibility condition Age &gt;=18. <br \/>\r<br>As a decisioning consultant, how do you configure the ethical bias policy to allow a minimum bias on age?<\/div><input type='hidden' name='question_id[]' id='qID_17' value='414169' \/><input type='hidden' id='answerType414169' 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-414169[]' id='answer-id-1605016' class='answer   answerof-414169 ' value='1605016'   \/><label for='answer-id-1605016' id='answer-label-1605016' class=' answer'><span>0.7 Gini<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414169[]' id='answer-id-1605017' class='answer   answerof-414169 ' value='1605017'   \/><label for='answer-id-1605017' id='answer-label-1605017' class=' answer'><span>0.1 Gini<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414169[]' id='answer-id-1605018' class='answer   answerof-414169 ' value='1605018'   \/><label for='answer-id-1605018' id='answer-label-1605018' class=' answer'><span>No detection<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414169[]' id='answer-id-1605019' class='answer   answerof-414169 ' value='1605019'   \/><label for='answer-id-1605019' id='answer-label-1605019' class=' answer'><span>0 Gini<\/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-414170'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/span>What happens when you increase the performance threshold setting of an Adaptive Model rule?<\/div><input type='hidden' name='question_id[]' id='qID_18' value='414170' \/><input type='hidden' id='answerType414170' 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-414170[]' id='answer-id-1605020' class='answer   answerof-414170 ' value='1605020'   \/><label for='answer-id-1605020' id='answer-label-1605020' class=' answer'><span>The number of active predictors increases.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414170[]' id='answer-id-1605021' class='answer   answerof-414170 ' value='1605021'   \/><label for='answer-id-1605021' id='answer-label-1605021' class=' answer'><span>The correlation threshold decreases.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414170[]' id='answer-id-1605022' class='answer   answerof-414170 ' value='1605022'   \/><label for='answer-id-1605022' id='answer-label-1605022' class=' answer'><span>The performance of the model is increased.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414170[]' id='answer-id-1605023' class='answer   answerof-414170 ' value='1605023'   \/><label for='answer-id-1605023' id='answer-label-1605023' class=' answer'><span>The number of active predictors may decrease.<\/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-414171'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>With the open-source GitHub repository Pega Data Scientist Tools, you can ______________.<\/div><input type='hidden' name='question_id[]' id='qID_19' value='414171' \/><input type='hidden' id='answerType414171' 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-414171[]' id='answer-id-1605024' class='answer   answerof-414171 ' value='1605024'   \/><label for='answer-id-1605024' id='answer-label-1605024' class=' answer'><span>visualize the performance of a predictor<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414171[]' id='answer-id-1605025' class='answer   answerof-414171 ' value='1605025'   \/><label for='answer-id-1605025' id='answer-label-1605025' class=' answer'><span>analyze your data in SQL<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414171[]' id='answer-id-1605026' class='answer   answerof-414171 ' value='1605026'   \/><label for='answer-id-1605026' id='answer-label-1605026' class=' answer'><span>build XGBoost models<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414171[]' id='answer-id-1605027' class='answer   answerof-414171 ' value='1605027'   \/><label for='answer-id-1605027' id='answer-label-1605027' class=' answer'><span>upload predictive models to Prediction Studio<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-20' style=';'><div id='questionWrap-20'  class='   watupro-question-id-414172'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>Which of the following is NOT a benefit of using Pega Process AI?<\/div><input type='hidden' name='question_id[]' id='qID_20' value='414172' \/><input type='hidden' id='answerType414172' 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-414172[]' id='answer-id-1605028' class='answer   answerof-414172 ' value='1605028'   \/><label for='answer-id-1605028' id='answer-label-1605028' class=' answer'><span>Increased efficiency and productivity<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414172[]' id='answer-id-1605029' class='answer   answerof-414172 ' value='1605029'   \/><label for='answer-id-1605029' id='answer-label-1605029' class=' answer'><span>Improved customer satisfaction<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414172[]' id='answer-id-1605030' class='answer   answerof-414172 ' value='1605030'   \/><label for='answer-id-1605030' id='answer-label-1605030' class=' answer'><span>Reduced costs<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414172[]' id='answer-id-1605031' class='answer   answerof-414172 ' value='1605031'   \/><label for='answer-id-1605031' id='answer-label-1605031' class=' answer'><span>Enhanced data security<\/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-414173'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/span>Adaptive models can learn without historical evidence. <br \/>\r<br>What is the starting propensity of every action?<\/div><input type='hidden' name='question_id[]' id='qID_21' value='414173' \/><input type='hidden' id='answerType414173' 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-414173[]' id='answer-id-1605032' class='answer   answerof-414173 ' value='1605032'   \/><label for='answer-id-1605032' id='answer-label-1605032' class=' answer'><span>0.25<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414173[]' id='answer-id-1605033' class='answer   answerof-414173 ' value='1605033'   \/><label for='answer-id-1605033' id='answer-label-1605033' class=' answer'><span>0.5<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414173[]' id='answer-id-1605034' class='answer   answerof-414173 ' value='1605034'   \/><label for='answer-id-1605034' id='answer-label-1605034' class=' answer'><span>1<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414173[]' id='answer-id-1605035' class='answer   answerof-414173 ' value='1605035'   \/><label for='answer-id-1605035' id='answer-label-1605035' class=' answer'><span>0<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-22' style=';'><div id='questionWrap-22'  class='   watupro-question-id-414174'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/span>What is data cleansing in Predictive Analytics?<\/div><input type='hidden' name='question_id[]' id='qID_22' value='414174' \/><input type='hidden' id='answerType414174' 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-414174[]' id='answer-id-1605036' class='answer   answerof-414174 ' value='1605036'   \/><label for='answer-id-1605036' id='answer-label-1605036' class=' answer'><span>Removing duplicate or inconsistent data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414174[]' id='answer-id-1605037' class='answer   answerof-414174 ' value='1605037'   \/><label for='answer-id-1605037' id='answer-label-1605037' class=' answer'><span>Removing irrelevant data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414174[]' id='answer-id-1605038' class='answer   answerof-414174 ' value='1605038'   \/><label for='answer-id-1605038' id='answer-label-1605038' class=' answer'><span>Removing confidential data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414174[]' id='answer-id-1605039' class='answer   answerof-414174 ' value='1605039'   \/><label for='answer-id-1605039' id='answer-label-1605039' class=' answer'><span>All of the above<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-23' style=';'><div id='questionWrap-23'  class='   watupro-question-id-414175'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/span>U+ Bank presents a personalized credit card offer to its customers when they log in to their accounts on the website. The Predict Web Propensity prediction calculates the likelihood of a customer clicking on the credit card offer banner. <br \/>\r<br>In Pega Customer Decision Hub&#8482;, what does the Clicked response label signify in this context?<\/div><input type='hidden' name='question_id[]' id='qID_23' value='414175' \/><input type='hidden' id='answerType414175' 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-414175[]' id='answer-id-1605040' class='answer   answerof-414175 ' value='1605040'   \/><label for='answer-id-1605040' id='answer-label-1605040' class=' answer'><span>The customer showed interest in the credit card offer.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414175[]' id='answer-id-1605041' class='answer   answerof-414175 ' value='1605041'   \/><label for='answer-id-1605041' id='answer-label-1605041' class=' answer'><span>The customer ignored the credit card offer.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414175[]' id='answer-id-1605042' class='answer   answerof-414175 ' value='1605042'   \/><label for='answer-id-1605042' id='answer-label-1605042' class=' answer'><span>The customer received an email with the credit card offer.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414175[]' id='answer-id-1605043' class='answer   answerof-414175 ' value='1605043'   \/><label for='answer-id-1605043' id='answer-label-1605043' class=' answer'><span>The customer did not respond to the offer.<\/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-414176'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/span>What is provided as input to a predictive model component by the strategy?<\/div><input type='hidden' name='question_id[]' id='qID_24' value='414176' \/><input type='hidden' id='answerType414176' 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-414176[]' id='answer-id-1605044' class='answer   answerof-414176 ' value='1605044'   \/><label for='answer-id-1605044' id='answer-label-1605044' class=' answer'><span>Customer data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414176[]' id='answer-id-1605045' class='answer   answerof-414176 ' value='1605045'   \/><label for='answer-id-1605045' id='answer-label-1605045' class=' answer'><span>The strategy outcome<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414176[]' id='answer-id-1605046' class='answer   answerof-414176 ' value='1605046'   \/><label for='answer-id-1605046' id='answer-label-1605046' class=' answer'><span>Performance data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414176[]' id='answer-id-1605047' class='answer   answerof-414176 ' value='1605047'   \/><label for='answer-id-1605047' id='answer-label-1605047' class=' answer'><span>Proposition identifier<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-25' style=';'><div id='questionWrap-25'  class='   watupro-question-id-414177'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/span>Which decision component allows you to monitor the real-time performance of a third- party Churn Model?<\/div><input type='hidden' name='question_id[]' id='qID_25' value='414177' \/><input type='hidden' id='answerType414177' 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-414177[]' id='answer-id-1605048' class='answer   answerof-414177 ' value='1605048'   \/><label for='answer-id-1605048' id='answer-label-1605048' class=' answer'><span>PMML Model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414177[]' id='answer-id-1605049' class='answer   answerof-414177 ' value='1605049'   \/><label for='answer-id-1605049' id='answer-label-1605049' class=' answer'><span>Scorecard Model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414177[]' id='answer-id-1605050' class='answer   answerof-414177 ' value='1605050'   \/><label for='answer-id-1605050' id='answer-label-1605050' class=' answer'><span>Predictive Model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414177[]' id='answer-id-1605051' class='answer   answerof-414177 ' value='1605051'   \/><label for='answer-id-1605051' id='answer-label-1605051' class=' answer'><span>Adaptive Model<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-26' style=';'><div id='questionWrap-26'  class='   watupro-question-id-414178'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/span>The Adaptive Model component in a strategy computes __________.<\/div><input type='hidden' name='question_id[]' id='qID_26' value='414178' \/><input type='hidden' id='answerType414178' 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-414178[]' id='answer-id-1605052' class='answer   answerof-414178 ' value='1605052'   \/><label for='answer-id-1605052' id='answer-label-1605052' class=' answer'><span>a propensity value for each action<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414178[]' id='answer-id-1605053' class='answer   answerof-414178 ' value='1605053'   \/><label for='answer-id-1605053' id='answer-label-1605053' class=' answer'><span>a single accept rate for all actions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414178[]' id='answer-id-1605054' class='answer   answerof-414178 ' value='1605054'   \/><label for='answer-id-1605054' id='answer-label-1605054' class=' answer'><span>a unique accept rate for each action<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414178[]' id='answer-id-1605055' class='answer   answerof-414178 ' value='1605055'   \/><label for='answer-id-1605055' id='answer-label-1605055' class=' answer'><span>a single propensity value for all actions<\/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-414179'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/span>Drag and drop the answer to complete the sentence. <br \/>\r<br><br><img decoding=\"async\" width=651 height=140 id=\"\u56fe\u7247 6\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/07\/image003-16.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_27' value='414179' \/><input type='hidden' id='answerType414179' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-414179[]' id='textarea_q_414179' 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-414180'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/span>Which of the following is NOT a use case for Pega Process AI?<\/div><input type='hidden' name='question_id[]' id='qID_28' value='414180' \/><input type='hidden' id='answerType414180' 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-414180[]' id='answer-id-1605057' class='answer   answerof-414180 ' value='1605057'   \/><label for='answer-id-1605057' id='answer-label-1605057' class=' answer'><span>Fraud detection and prevention<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414180[]' id='answer-id-1605058' class='answer   answerof-414180 ' value='1605058'   \/><label for='answer-id-1605058' id='answer-label-1605058' class=' answer'><span>Customer service automation<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414180[]' id='answer-id-1605059' class='answer   answerof-414180 ' value='1605059'   \/><label for='answer-id-1605059' id='answer-label-1605059' class=' answer'><span>Sales forecasting and analysis<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414180[]' id='answer-id-1605060' class='answer   answerof-414180 ' value='1605060'   \/><label for='answer-id-1605060' id='answer-label-1605060' class=' answer'><span>Supply chain optimization<\/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-414181'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>Pega Customer Decision Hub&#8482; uses the P*C*V*L arbitration formula to select the next best action for each customer. <br \/>\r<br>Which description best describes the purpose of the formula?<\/div><input type='hidden' name='question_id[]' id='qID_29' value='414181' \/><input type='hidden' id='answerType414181' 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-414181[]' id='answer-id-1605061' class='answer   answerof-414181 ' value='1605061'   \/><label for='answer-id-1605061' id='answer-label-1605061' class=' answer'><span>To balance customer needs with business objectives.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414181[]' id='answer-id-1605062' class='answer   answerof-414181 ' value='1605062'   \/><label for='answer-id-1605062' id='answer-label-1605062' class=' answer'><span>To ensure that the customer is always given the best offer, regardless of the business objective.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414181[]' id='answer-id-1605063' class='answer   answerof-414181 ' value='1605063'   \/><label for='answer-id-1605063' id='answer-label-1605063' class=' answer'><span>To provide insight into business processes.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414181[]' id='answer-id-1605064' class='answer   answerof-414181 ' value='1605064'   \/><label for='answer-id-1605064' id='answer-label-1605064' class=' answer'><span>To ensure that every customer receives the same action.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-30' style=';'><div id='questionWrap-30'  class='   watupro-question-id-414182'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/span>Why is leaving the default settings of an adaptive model unchanged important?<\/div><input type='hidden' name='question_id[]' id='qID_30' value='414182' \/><input type='hidden' id='answerType414182' 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-414182[]' id='answer-id-1605065' class='answer   answerof-414182 ' value='1605065'   \/><label for='answer-id-1605065' id='answer-label-1605065' class=' answer'><span>Using the default settings is based on best practices.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414182[]' id='answer-id-1605066' class='answer   answerof-414182 ' value='1605066'   \/><label for='answer-id-1605066' id='answer-label-1605066' class=' answer'><span>Changing the settings is not a task for a data scientist.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414182[]' id='answer-id-1605067' class='answer   answerof-414182 ' value='1605067'   \/><label for='answer-id-1605067' id='answer-label-1605067' class=' answer'><span>Changing the settings does not effect on model performance.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414182[]' id='answer-id-1605068' class='answer   answerof-414182 ' value='1605068'   \/><label for='answer-id-1605068' id='answer-label-1605068' class=' answer'><span>Adaptive Decision Manager adjusts the settings automatically adjusted during adaptive learning.<\/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-414183'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>31. <\/span>Which of the following is a technique used in NLP for text classification?<\/div><input type='hidden' name='question_id[]' id='qID_31' value='414183' \/><input type='hidden' id='answerType414183' 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-414183[]' id='answer-id-1605069' class='answer   answerof-414183 ' value='1605069'   \/><label for='answer-id-1605069' id='answer-label-1605069' class=' answer'><span>SVM (Support Vector Machines)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414183[]' id='answer-id-1605070' class='answer   answerof-414183 ' value='1605070'   \/><label for='answer-id-1605070' id='answer-label-1605070' class=' answer'><span>K-Means<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414183[]' id='answer-id-1605071' class='answer   answerof-414183 ' value='1605071'   \/><label for='answer-id-1605071' id='answer-label-1605071' class=' answer'><span>Random Forest<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414183[]' id='answer-id-1605072' class='answer   answerof-414183 ' value='1605072'   \/><label for='answer-id-1605072' id='answer-label-1605072' class=' answer'><span>Naive Bayes<\/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-414184'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>32. <\/span>What is predictor importance in the context of machine learning?<\/div><input type='hidden' name='question_id[]' id='qID_32' value='414184' \/><input type='hidden' id='answerType414184' 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-414184[]' id='answer-id-1605073' class='answer   answerof-414184 ' value='1605073'   \/><label for='answer-id-1605073' id='answer-label-1605073' class=' answer'><span>The importance of each predictor in calculating propensity.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414184[]' id='answer-id-1605074' class='answer   answerof-414184 ' value='1605074'   \/><label for='answer-id-1605074' id='answer-label-1605074' class=' answer'><span>The importance of each predictor to the business team.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414184[]' id='answer-id-1605075' class='answer   answerof-414184 ' value='1605075'   \/><label for='answer-id-1605075' id='answer-label-1605075' class=' answer'><span>The importance of each predictor across all models.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414184[]' id='answer-id-1605076' class='answer   answerof-414184 ' value='1605076'   \/><label for='answer-id-1605076' id='answer-label-1605076' class=' answer'><span>The importance of each decision in calculating propensity.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-33' style=';'><div id='questionWrap-33'  class='   watupro-question-id-414185'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>33. <\/span>As a Data Scientist you want to use a predictive model to detect potential churn for a telco company. <br \/>\r<br>Which three options do you have? (Choose Three)<\/div><input type='hidden' name='question_id[]' id='qID_33' value='414185' \/><input type='hidden' id='answerType414185' 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-414185[]' id='answer-id-1605077' class='answer   answerof-414185 ' value='1605077'   \/><label for='answer-id-1605077' id='answer-label-1605077' class=' answer'><span>Create a Text extraction model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414185[]' id='answer-id-1605078' class='answer   answerof-414185 ' value='1605078'   \/><label for='answer-id-1605078' id='answer-label-1605078' class=' answer'><span>Use a Google ML model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414185[]' id='answer-id-1605079' class='answer   answerof-414185 ' value='1605079'   \/><label for='answer-id-1605079' id='answer-label-1605079' class=' answer'><span>Use Pega machine learning to build a model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414185[]' id='answer-id-1605080' class='answer   answerof-414185 ' value='1605080'   \/><label for='answer-id-1605080' id='answer-label-1605080' class=' answer'><span>Import a third party PMML model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414185[]' id='answer-id-1605081' class='answer   answerof-414185 ' value='1605081'   \/><label for='answer-id-1605081' id='answer-label-1605081' class=' answer'><span>Create an adaptive self-learning model<\/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-414186'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>34. <\/span>What is the importance of data normalization in Predictive Analytics?<\/div><input type='hidden' name='question_id[]' id='qID_34' value='414186' \/><input type='hidden' id='answerType414186' 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-414186[]' id='answer-id-1605082' class='answer   answerof-414186 ' value='1605082'   \/><label for='answer-id-1605082' id='answer-label-1605082' class=' answer'><span>It ensures that all data is in the same format<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414186[]' id='answer-id-1605083' class='answer   answerof-414186 ' value='1605083'   \/><label for='answer-id-1605083' id='answer-label-1605083' class=' answer'><span>It ensures that all data is relevant to the model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414186[]' id='answer-id-1605084' class='answer   answerof-414186 ' value='1605084'   \/><label for='answer-id-1605084' id='answer-label-1605084' class=' answer'><span>It ensures that all data is accurate<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414186[]' id='answer-id-1605085' class='answer   answerof-414186 ' value='1605085'   \/><label for='answer-id-1605085' id='answer-label-1605085' class=' answer'><span>It ensures that all data is on the same scale<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-35' style=';'><div id='questionWrap-35'  class='   watupro-question-id-414187'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>35. <\/span>What is the purpose of the Combiner function in the scorecard?<\/div><input type='hidden' name='question_id[]' id='qID_35' value='414187' \/><input type='hidden' id='answerType414187' 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-414187[]' id='answer-id-1605086' class='answer   answerof-414187 ' value='1605086'   \/><label for='answer-id-1605086' id='answer-label-1605086' class=' answer'><span>To create complex predictor field expressions.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414187[]' id='answer-id-1605087' class='answer   answerof-414187 ' value='1605087'   \/><label for='answer-id-1605087' id='answer-label-1605087' class=' answer'><span>To apply a data transform to run the scorecard for different customers.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414187[]' id='answer-id-1605088' class='answer   answerof-414187 ' value='1605088'   \/><label for='answer-id-1605088' id='answer-label-1605088' class=' answer'><span>To set the Cutoff value to distinguish potential churners from loyal customers.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414187[]' id='answer-id-1605089' class='answer   answerof-414187 ' value='1605089'   \/><label for='answer-id-1605089' id='answer-label-1605089' class=' answer'><span>To select a method to calculate the score.<\/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-414188'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>36. <\/span>The objective of Pega Process AI&#8482; is to interpret the incoming data and then decide on the best action to take. <br \/>\r<br>In which two ways can you better analyze the incoming data? (Choose Two)<\/div><input type='hidden' name='question_id[]' id='qID_36' value='414188' \/><input type='hidden' id='answerType414188' 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-414188[]' id='answer-id-1605090' class='answer   answerof-414188 ' value='1605090'   \/><label for='answer-id-1605090' id='answer-label-1605090' class=' answer'><span>Event processing<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414188[]' id='answer-id-1605091' class='answer   answerof-414188 ' value='1605091'   \/><label for='answer-id-1605091' id='answer-label-1605091' class=' answer'><span>Predictive analytics<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414188[]' id='answer-id-1605092' class='answer   answerof-414188 ' value='1605092'   \/><label for='answer-id-1605092' id='answer-label-1605092' class=' answer'><span>Text analytics<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414188[]' id='answer-id-1605093' class='answer   answerof-414188 ' value='1605093'   \/><label for='answer-id-1605093' id='answer-label-1605093' class=' answer'><span>Decision strategies<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414188[]' id='answer-id-1605094' class='answer   answerof-414188 ' value='1605094'   \/><label for='answer-id-1605094' id='answer-label-1605094' class=' answer'><span>Business rules<\/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-414189'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>37. <\/span>In a decision strategy, which component is required to enable access to primary customer properties?<\/div><input type='hidden' name='question_id[]' id='qID_37' value='414189' \/><input type='hidden' id='answerType414189' 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-414189[]' id='answer-id-1605095' class='answer   answerof-414189 ' value='1605095'   \/><label for='answer-id-1605095' id='answer-label-1605095' class=' answer'><span>None; customer properties are available.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414189[]' id='answer-id-1605096' class='answer   answerof-414189 ' value='1605096'   \/><label for='answer-id-1605096' id='answer-label-1605096' class=' answer'><span>Customer Import<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414189[]' id='answer-id-1605097' class='answer   answerof-414189 ' value='1605097'   \/><label for='answer-id-1605097' id='answer-label-1605097' class=' answer'><span>Data Import<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414189[]' id='answer-id-1605098' class='answer   answerof-414189 ' value='1605098'   \/><label for='answer-id-1605098' id='answer-label-1605098' class=' answer'><span>Set Property<\/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-414190'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>38. <\/span>In the delta view in Visual Business Director, what does the red colored cone indicate?<\/div><input type='hidden' name='question_id[]' id='qID_38' value='414190' \/><input type='hidden' id='answerType414190' 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-414190[]' id='answer-id-1605099' class='answer   answerof-414190 ' value='1605099'   \/><label for='answer-id-1605099' id='answer-label-1605099' class=' answer'><span>The source data value is too small<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414190[]' id='answer-id-1605100' class='answer   answerof-414190 ' value='1605100'   \/><label for='answer-id-1605100' id='answer-label-1605100' class=' answer'><span>The source data value is smaller than the reference data value<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414190[]' id='answer-id-1605101' class='answer   answerof-414190 ' value='1605101'   \/><label for='answer-id-1605101' id='answer-label-1605101' class=' answer'><span>The source data value is larger than the reference data value<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414190[]' id='answer-id-1605102' class='answer   answerof-414190 ' value='1605102'   \/><label for='answer-id-1605102' id='answer-label-1605102' class=' answer'><span>The source data value is too large<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-39' style=';'><div id='questionWrap-39'  class='   watupro-question-id-414191'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>39. <\/span>An online store is interested in increasing its revenues from cross-selling and wants to predict the acceptance rate of the offers presented on their website. <br \/>\r<br>A customer's propensity to accept an offer increases when ___________________.<\/div><input type='hidden' name='question_id[]' id='qID_39' value='414191' \/><input type='hidden' id='answerType414191' 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-414191[]' id='answer-id-1605103' class='answer   answerof-414191 ' value='1605103'   \/><label for='answer-id-1605103' id='answer-label-1605103' class=' answer'><span>similar offers were rejected by the customer<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414191[]' id='answer-id-1605104' class='answer   answerof-414191 ' value='1605104'   \/><label for='answer-id-1605104' id='answer-label-1605104' class=' answer'><span>similar offers were accepted by the customer<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414191[]' id='answer-id-1605105' class='answer   answerof-414191 ' value='1605105'   \/><label for='answer-id-1605105' id='answer-label-1605105' class=' answer'><span>the offer was rejected by similar customers<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-414191[]' id='answer-id-1605106' class='answer   answerof-414191 ' value='1605106'   \/><label for='answer-id-1605106' id='answer-label-1605106' class=' answer'><span>the offer was accepted by similar customers<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-40' style=';'><div id='questionWrap-40'  class='   watupro-question-id-414192'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>40. <\/span>Creating predictive models Using Prediction Studio to build Pega machine learning models on historical data, you can build two types of models: ____________ and ____________. (Choose Two)<\/div><input type='hidden' name='question_id[]' id='qID_40' value='414192' \/><input type='hidden' id='answerType414192' 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-414192[]' id='answer-id-1605107' class='answer   answerof-414192 ' value='1605107'   \/><label for='answer-id-1605107' id='answer-label-1605107' class=' answer'><span>adaptive models<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414192[]' id='answer-id-1605108' class='answer   answerof-414192 ' value='1605108'   \/><label for='answer-id-1605108' id='answer-label-1605108' class=' answer'><span>continuous models<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414192[]' id='answer-id-1605109' class='answer   answerof-414192 ' value='1605109'   \/><label for='answer-id-1605109' id='answer-label-1605109' class=' answer'><span>binary models<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-414192[]' id='answer-id-1605110' class='answer   answerof-414192 ' value='1605110'   \/><label for='answer-id-1605110' id='answer-label-1605110' class=' answer'><span>voice to text model<\/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=\"watuPROButtons10458\" >\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<h3>If you want to read more demo questions of PEGACPDS24V1 dumps (V8.02), continue to check the <a href=\"https:\/\/www.dumpsbase.com\/freedumps\/check-the-pegacpds24v1-free-dumps-part-2-q41-q70-online-verify-the-pegacpds24v1-dumps-v8-02-and-prepare-for-your-certified-pega-data-scientist-24-exam.html\"><span style=\"background-color: #00ffff;\"><em>PEGACPDS24V1 free dumps (Part 2, Q41-Q70)<\/em><\/span><\/a> online.<\/h3>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Whether you&#8217;re seeking to advance in your current role or explore new opportunities in the tech industry, earning the Pega Data Scientist certification proves your expertise and opens doors to higher-level positions. And the Pegasystems Certified Pega Data Scientist \u201824 is available online. To prepare for the PEGACPDS24V1 exam, you need to complete comprehensive preparation [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10815,258],"tags":[19402,19401],"class_list":["post-106230","post","type-post","status-publish","format-standard","hentry","category-pcds","category-pegasystems","tag-certified-pega-data-scientist","tag-pegacpds24v1-dumps"],"_links":{"self":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/106230","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=106230"}],"version-history":[{"count":2,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/106230\/revisions"}],"predecessor-version":[{"id":107021,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/106230\/revisions\/107021"}],"wp:attachment":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/media?parent=106230"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/categories?post=106230"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/tags?post=106230"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}