{"id":66253,"date":"2023-11-01T02:06:13","date_gmt":"2023-11-01T02:06:13","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=66253"},"modified":"2023-11-01T02:06:18","modified_gmt":"2023-11-01T02:06:18","slug":"top-quality-pegacpds88v1-exam-dumps-v9-03-best-guide-for-certified-pega-data-scientist-8-8-exam-learning","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/top-quality-pegacpds88v1-exam-dumps-v9-03-best-guide-for-certified-pega-data-scientist-8-8-exam-learning.html","title":{"rendered":"Top-Quality PEGACPDS88V1 Exam Dumps (V9.03) &#8211; Best Guide for Certified Pega Data Scientist 8.8 Exam Learning"},"content":{"rendered":"\n<p>In the fast-paced world of IT certification exams, having the right study materials can make all the difference. At DumpsBase, you can get the most updated dumps to make preparations, including the Certified Pega Data Scientist 8.8 (PEGACPDS88V1) exam. Having access to high-quality PEGACPDS88V1 dumps of DumpsBase can be your best guide for the Certified Pega Data Scientist 8.8 exam learning. The current PEGACPDS88V1 dumps of DumpsBase is V9.03 with 140 questions and answers. DumpsBase\u2019s PEGACPDS88V1 updated dumps are meticulously designed by industry experts to provide you with the knowledge you need to pass the exam. Those updated dumps questions and answers cover all the exam objectives and are regularly updated to reflect changes in the exam syllabus, ensuring that you are always studying the most relevant material. With the PEGACPDS88V1 dumps V9.03, your path to becoming a Certified Pega Data Scientist can be a smooth one.<\/p>\n<h2>Certified Pega Data Scientist 8.8 <span style=\"background-color: #00ff00;\"><em>PEGACPDS88V1 Free Dumps Demo<\/em><\/span><\/h2>\n<script>\n\t  window.fbAsyncInit = function() {\n\t    FB.init({\n\t      appId            : '622169541470367',\n\t      autoLogAppEvents : true,\n\t      xfbml            : true,\n\t      version          : 'v3.1'\n\t    });\n\t  };\n\t\n\t  (function(d, s, id){\n\t     var js, fjs = d.getElementsByTagName(s)[0];\n\t     if (d.getElementById(id)) {return;}\n\t     js = d.createElement(s); js.id = id;\n\t     js.src = \"https:\/\/connect.facebook.net\/en_US\/sdk.js\";\n\t     fjs.parentNode.insertBefore(js, fjs);\n\t   }(document, 'script', 'facebook-jssdk'));\n\t<\/script><script type=\"text\/javascript\" >\ndocument.addEventListener(\"DOMContentLoaded\", function(event) { \nif(!window.jQuery) alert(\"The important jQuery library is not properly loaded in your site. Your WordPress theme is probably missing the essential wp_head() call. You can switch to another theme and you will see that the plugin works fine and this notice disappears. If you are still not sure what to do you can contact us for help.\");\n});\n<\/script>  \n  \n<div  id=\"watupro_quiz\" class=\"quiz-area single-page-quiz\">\n<p id=\"submittingExam7341\" 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-7341\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-7341\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-269765'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>A Scoring Model allows you to differentiate between<\/div><input type='hidden' name='question_id[]' id='qID_1' value='269765' \/><input type='hidden' id='answerType269765' 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-269765[]' id='answer-id-1062780' class='answer   answerof-269765 ' value='1062780'   \/><label for='answer-id-1062780' id='answer-label-1062780' class=' answer'><span>Accept, Reject, Maybe Later<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269765[]' id='answer-id-1062781' class='answer   answerof-269765 ' value='1062781'   \/><label for='answer-id-1062781' id='answer-label-1062781' class=' answer'><span>Good, Bad<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269765[]' id='answer-id-1062782' class='answer   answerof-269765 ' value='1062782'   \/><label for='answer-id-1062782' id='answer-label-1062782' class=' answer'><span>Good, Better, Best<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269765[]' id='answer-id-1062783' class='answer   answerof-269765 ' value='1062783'   \/><label for='answer-id-1062783' id='answer-label-1062783' class=' answer'><span>Good, Bad, Unknown<\/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-269766'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>As a data scientist, you have enabled capturing of historical data in an adaptive model. <br \/>\r<br>Which two data elements are captured for every customer interaction? (Choose Two)<\/div><input type='hidden' name='question_id[]' id='qID_2' value='269766' \/><input type='hidden' id='answerType269766' 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-269766[]' id='answer-id-1062784' class='answer   answerof-269766 ' value='1062784'   \/><label for='answer-id-1062784' id='answer-label-1062784' class=' answer'><span>The value of only the active predictors<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-269766[]' id='answer-id-1062785' class='answer   answerof-269766 ' value='1062785'   \/><label for='answer-id-1062785' id='answer-label-1062785' class=' answer'><span>The outcome of the interaction<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-269766[]' id='answer-id-1062786' class='answer   answerof-269766 ' value='1062786'   \/><label for='answer-id-1062786' id='answer-label-1062786' class=' answer'><span>The model metadata<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-269766[]' id='answer-id-1062787' class='answer   answerof-269766 ' value='1062787'   \/><label for='answer-id-1062787' id='answer-label-1062787' class=' answer'><span>The propensity generated by the model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-269766[]' id='answer-id-1062788' class='answer   answerof-269766 ' value='1062788'   \/><label for='answer-id-1062788' id='answer-label-1062788' class=' answer'><span>The value of all predictors<\/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-269767'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>What is the difference between predictive and adaptive analytics?<\/div><input type='hidden' name='question_id[]' id='qID_3' value='269767' \/><input type='hidden' id='answerType269767' 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-269767[]' id='answer-id-1062789' class='answer   answerof-269767 ' value='1062789'   \/><label for='answer-id-1062789' id='answer-label-1062789' class=' answer'><span>Predictive models can predict a continuous value.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269767[]' id='answer-id-1062790' class='answer   answerof-269767 ' value='1062790'   \/><label for='answer-id-1062790' id='answer-label-1062790' class=' answer'><span>Predictive models predict customer behavior.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269767[]' id='answer-id-1062791' class='answer   answerof-269767 ' value='1062791'   \/><label for='answer-id-1062791' id='answer-label-1062791' class=' answer'><span>Adaptive models use the customer data as predict*<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269767[]' id='answer-id-1062792' class='answer   answerof-269767 ' value='1062792'   \/><label for='answer-id-1062792' id='answer-label-1062792' class=' answer'><span>Predictive models have evidence.<\/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-269768'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>The outcome of a scoring model indicates the likely<\/div><input type='hidden' name='question_id[]' id='qID_4' value='269768' \/><input type='hidden' id='answerType269768' 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-269768[]' id='answer-id-1062793' class='answer   answerof-269768 ' value='1062793'   \/><label for='answer-id-1062793' id='answer-label-1062793' class=' answer'><span>write-off value of an arrears case<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269768[]' id='answer-id-1062794' class='answer   answerof-269768 ' value='1062794'   \/><label for='answer-id-1062794' id='answer-label-1062794' class=' answer'><span>claim value of a health insurance<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269768[]' id='answer-id-1062795' class='answer   answerof-269768 ' value='1062795'   \/><label for='answer-id-1062795' id='answer-label-1062795' class=' answer'><span>period in which a spare part has to be replaced<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269768[]' id='answer-id-1062796' class='answer   answerof-269768 ' value='1062796'   \/><label for='answer-id-1062796' id='answer-label-1062796' class=' answer'><span>response to an offer<\/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-269769'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>The standardized machine learning process (MLOps) lets you replace a low-performing predictive model that drives a prediction with an updated model. When you approve the model, a change request is automatically generated in__________<\/div><input type='hidden' name='question_id[]' id='qID_5' value='269769' \/><input type='hidden' id='answerType269769' 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-269769[]' id='answer-id-1062797' class='answer   answerof-269769 ' value='1062797'   \/><label for='answer-id-1062797' id='answer-label-1062797' class=' answer'><span>the business operations environment<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269769[]' id='answer-id-1062798' class='answer   answerof-269769 ' value='1062798'   \/><label for='answer-id-1062798' id='answer-label-1062798' class=' answer'><span>an external environment<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269769[]' id='answer-id-1062799' class='answer   answerof-269769 ' value='1062799'   \/><label for='answer-id-1062799' id='answer-label-1062799' class=' answer'><span>the production environment<\/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-269770'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>What is the key difference between a predictive model and a human expert?<\/div><input type='hidden' name='question_id[]' id='qID_6' value='269770' \/><input type='hidden' id='answerType269770' 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-269770[]' id='answer-id-1062800' class='answer   answerof-269770 ' value='1062800'   \/><label for='answer-id-1062800' id='answer-label-1062800' class=' answer'><span>Predictive models always outperform human experts.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269770[]' id='answer-id-1062801' class='answer   answerof-269770 ' value='1062801'   \/><label for='answer-id-1062801' id='answer-label-1062801' class=' answer'><span>Humans are better at dealing with structured data and identifying patterns.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269770[]' id='answer-id-1062802' class='answer   answerof-269770 ' value='1062802'   \/><label for='answer-id-1062802' id='answer-label-1062802' class=' answer'><span>Predictive models are more capable of detecting patterns in historical data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269770[]' id='answer-id-1062803' class='answer   answerof-269770 ' value='1062803'   \/><label for='answer-id-1062803' id='answer-label-1062803' class=' answer'><span>Humans make successful predictions on a large amount of data.<\/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-269771'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/span>As a data scientist, you are tasked with configuring two predictions that are driven by an adaptive model: one for an inbound channel and one for an outbound channel. <br \/>\r<br>To which setting do you need to pay extra attention?<\/div><input type='hidden' name='question_id[]' id='qID_7' value='269771' \/><input type='hidden' id='answerType269771' 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-269771[]' id='answer-id-1062804' class='answer   answerof-269771 ' value='1062804'   \/><label for='answer-id-1062804' id='answer-label-1062804' class=' answer'><span>Response timeout<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269771[]' id='answer-id-1062805' class='answer   answerof-269771 ' value='1062805'   \/><label for='answer-id-1062805' id='answer-label-1062805' class=' answer'><span>Adaptive model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269771[]' id='answer-id-1062806' class='answer   answerof-269771 ' value='1062806'   \/><label for='answer-id-1062806' id='answer-label-1062806' class=' answer'><span>Predictor fields<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269771[]' id='answer-id-1062807' class='answer   answerof-269771 ' value='1062807'   \/><label for='answer-id-1062807' id='answer-label-1062807' class=' answer'><span>Control group<\/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-269772'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>U+ Telecom wants to engage in proactive retention to reduce churn. As a data scientist, you create a prediction that calculates the probability that a client is likely to cancel a subscription. <br \/>\r<br>What type of prediction do you create?<\/div><input type='hidden' name='question_id[]' id='qID_8' value='269772' \/><input type='hidden' id='answerType269772' 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-269772[]' id='answer-id-1062808' class='answer   answerof-269772 ' value='1062808'   \/><label for='answer-id-1062808' id='answer-label-1062808' class=' answer'><span>Case management_____<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269772[]' id='answer-id-1062809' class='answer   answerof-269772 ' value='1062809'   \/><label for='answer-id-1062809' id='answer-label-1062809' class=' answer'><span>Customer Decision Hub<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269772[]' id='answer-id-1062810' class='answer   answerof-269772 ' value='1062810'   \/><label for='answer-id-1062810' id='answer-label-1062810' class=' answer'><span>Text analytics<\/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-269773'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>Which component(s) do you use to calculate the average margin of four actions?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='269773' \/><input type='hidden' id='answerType269773' 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-269773[]' id='answer-id-1062811' class='answer   answerof-269773 ' value='1062811'   \/><label for='answer-id-1062811' id='answer-label-1062811' class=' answer'><span>one Set Property component<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269773[]' id='answer-id-1062812' class='answer   answerof-269773 ' value='1062812'   \/><label for='answer-id-1062812' id='answer-label-1062812' class=' answer'><span>one Group By component<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269773[]' id='answer-id-1062813' class='answer   answerof-269773 ' value='1062813'   \/><label for='answer-id-1062813' id='answer-label-1062813' class=' answer'><span>four Group By components<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269773[]' id='answer-id-1062814' class='answer   answerof-269773 ' value='1062814'   \/><label for='answer-id-1062814' id='answer-label-1062814' class=' answer'><span>four Set Property components<\/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-269774'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/span>An adaptive adaptive model component in a decision: propensity, performance, evidence, and positives. <br \/>\r<br>What is evidence in the context of an adaptive model?<\/div><input type='hidden' name='question_id[]' id='qID_10' value='269774' \/><input type='hidden' id='answerType269774' 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-269774[]' id='answer-id-1062815' class='answer   answerof-269774 ' value='1062815'   \/><label for='answer-id-1062815' id='answer-label-1062815' class=' answer'><span>The likelihood of a statistically similar behavior<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269774[]' id='answer-id-1062816' class='answer   answerof-269774 ' value='1062816'   \/><label for='answer-id-1062816' id='answer-label-1062816' class=' answer'><span>The number of customers who exhibited statistically similar behavior<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269774[]' id='answer-id-1062817' class='answer   answerof-269774 ' value='1062817'   \/><label for='answer-id-1062817' id='answer-label-1062817' class=' answer'><span>The number of statistical bins that arc generated by the system<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269774[]' id='answer-id-1062818' class='answer   answerof-269774 ' value='1062818'   \/><label for='answer-id-1062818' id='answer-label-1062818' class=' answer'><span>The number of outcomes that system registered<\/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-269775'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/span>You are the Decisioning Consultant on an Al-powered one-to-one Customer Engagement implementation project. You are asked to design the Next-Best-Action prioritization expression that balances the customer needs with the business objectives. <br \/>\r<br>What factors do you consider in the prioritization expression?<\/div><input type='hidden' name='question_id[]' id='qID_11' value='269775' \/><input type='hidden' id='answerType269775' 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-269775[]' id='answer-id-1062819' class='answer   answerof-269775 ' value='1062819'   \/><label for='answer-id-1062819' id='answer-label-1062819' class=' answer'><span>product eligibility rules<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269775[]' id='answer-id-1062820' class='answer   answerof-269775 ' value='1062820'   \/><label for='answer-id-1062820' id='answer-label-1062820' class=' answer'><span>customer contact rules<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269775[]' id='answer-id-1062821' class='answer   answerof-269775 ' value='1062821'   \/><label for='answer-id-1062821' id='answer-label-1062821' class=' answer'><span>product compatibility rules<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269775[]' id='answer-id-1062822' class='answer   answerof-269775 ' value='1062822'   \/><label for='answer-id-1062822' id='answer-label-1062822' class=' answer'><span>business levers<\/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-269776'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/span>What type of a predictor can you use in an adaptive model?<\/div><input type='hidden' name='question_id[]' id='qID_12' value='269776' \/><input type='hidden' id='answerType269776' 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-269776[]' id='answer-id-1062823' class='answer   answerof-269776 ' value='1062823'   \/><label for='answer-id-1062823' id='answer-label-1062823' class=' answer'><span>Symbolic<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269776[]' id='answer-id-1062824' class='answer   answerof-269776 ' value='1062824'   \/><label for='answer-id-1062824' id='answer-label-1062824' class=' answer'><span>Integer<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269776[]' id='answer-id-1062825' class='answer   answerof-269776 ' value='1062825'   \/><label for='answer-id-1062825' id='answer-label-1062825' class=' answer'><span>Page Type<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269776[]' id='answer-id-1062826' class='answer   answerof-269776 ' value='1062826'   \/><label for='answer-id-1062826' id='answer-label-1062826' class=' answer'><span>Logical<\/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-269777'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/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. A customer's propensity to accept an offer increases when_________.<\/div><input type='hidden' name='question_id[]' id='qID_13' value='269777' \/><input type='hidden' id='answerType269777' 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-269777[]' id='answer-id-1062827' class='answer   answerof-269777 ' value='1062827'   \/><label for='answer-id-1062827' id='answer-label-1062827' 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-269777[]' id='answer-id-1062828' class='answer   answerof-269777 ' value='1062828'   \/><label for='answer-id-1062828' id='answer-label-1062828' 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-269777[]' id='answer-id-1062829' class='answer   answerof-269777 ' value='1062829'   \/><label for='answer-id-1062829' id='answer-label-1062829' 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-269777[]' id='answer-id-1062830' class='answer   answerof-269777 ' value='1062830'   \/><label for='answer-id-1062830' id='answer-label-1062830' 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-14' style=';'><div id='questionWrap-14'  class='   watupro-question-id-269778'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/span>When implementing a Next-Best-Action project, which step is recommended to be taken first?<\/div><input type='hidden' name='question_id[]' id='qID_14' value='269778' \/><input type='hidden' id='answerType269778' 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-269778[]' id='answer-id-1062831' class='answer   answerof-269778 ' value='1062831'   \/><label for='answer-id-1062831' id='answer-label-1062831' class=' answer'><span>Define Issue and Group hierarchy<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269778[]' id='answer-id-1062832' class='answer   answerof-269778 ' value='1062832'   \/><label for='answer-id-1062832' id='answer-label-1062832' class=' answer'><span>Define propositions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269778[]' id='answer-id-1062833' class='answer   answerof-269778 ' value='1062833'   \/><label for='answer-id-1062833' id='answer-label-1062833' class=' answer'><span>Define business rules<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269778[]' id='answer-id-1062834' class='answer   answerof-269778 ' value='1062834'   \/><label for='answer-id-1062834' id='answer-label-1062834' class=' answer'><span>Define prioritization formula<\/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-269779'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>U+ Insurance uses Pega Process AI&#8482; to assess the complexity of the claims and route a claim to the best-suited user. In the case type that handles claims, the application developer wants to use AI to route claims that are likely to miss their deadline to an expert. As a data scientist, what task do you first perform to allow the application developer to reference the AI output in the case type?<\/div><input type='hidden' name='question_id[]' id='qID_15' value='269779' \/><input type='hidden' id='answerType269779' 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-269779[]' id='answer-id-1062835' class='answer   answerof-269779 ' value='1062835'   \/><label for='answer-id-1062835' id='answer-label-1062835' class=' answer'><span>Create a predictive model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269779[]' id='answer-id-1062836' class='answer   answerof-269779 ' value='1062836'   \/><label for='answer-id-1062836' id='answer-label-1062836' class=' answer'><span>Add a decision step to the case type.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269779[]' id='answer-id-1062837' class='answer   answerof-269779 ' value='1062837'   \/><label for='answer-id-1062837' id='answer-label-1062837' class=' answer'><span>Configure an adaptive model to drive the prediction.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269779[]' id='answer-id-1062838' class='answer   answerof-269779 ' value='1062838'   \/><label for='answer-id-1062838' id='answer-label-1062838' class=' answer'><span>Create a prediction.<\/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-269780'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>In a strategy defined in the &quot;Retension&quot; issue and the &quot;X-Sell&quot; group, you can import________<\/div><input type='hidden' name='question_id[]' id='qID_16' value='269780' \/><input type='hidden' id='answerType269780' 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-269780[]' id='answer-id-1062839' class='answer   answerof-269780 ' value='1062839'   \/><label for='answer-id-1062839' id='answer-label-1062839' class=' answer'><span>Actions from all groups under the &quot;Retention&quot; issue<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269780[]' id='answer-id-1062840' class='answer   answerof-269780 ' value='1062840'   \/><label for='answer-id-1062840' id='answer-label-1062840' class=' answer'><span>Actions from &quot;X-Sell&quot; group<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269780[]' id='answer-id-1062841' class='answer   answerof-269780 ' value='1062841'   \/><label for='answer-id-1062841' id='answer-label-1062841' class=' answer'><span>Actions from the &quot;Sales&quot; issue<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269780[]' id='answer-id-1062842' class='answer   answerof-269780 ' value='1062842'   \/><label for='answer-id-1062842' id='answer-label-1062842' class=' answer'><span>All active actions<\/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-269781'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>U+ Bank promotes credit card offers on its website and uses Pega Customer Decision Hub to personalize the offer for every customer. Now, the bank wants to lower the number of customers that leave the bank by showing a proactive retention offer to high churn risk customers instead. As an NBA analyst, you are tasked with creating a new applicability setting to comply with the new business rule. <br \/>\r<br>Which business issue or issues do you modify?<\/div><input type='hidden' name='question_id[]' id='qID_17' value='269781' \/><input type='hidden' id='answerType269781' 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-269781[]' id='answer-id-1062843' class='answer   answerof-269781 ' value='1062843'   \/><label for='answer-id-1062843' id='answer-label-1062843' class=' answer'><span>The Retention issue<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269781[]' id='answer-id-1062844' class='answer   answerof-269781 ' value='1062844'   \/><label for='answer-id-1062844' id='answer-label-1062844' class=' answer'><span>The Sales issue<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269781[]' id='answer-id-1062845' class='answer   answerof-269781 ' value='1062845'   \/><label for='answer-id-1062845' id='answer-label-1062845' class=' answer'><span>The Sales issue and the Retention issue<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269781[]' id='answer-id-1062846' class='answer   answerof-269781 ' value='1062846'   \/><label for='answer-id-1062846' id='answer-label-1062846' class=' answer'><span>No modification is required<\/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-269782'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/span>Which statement about predictive models is true?<\/div><input type='hidden' name='question_id[]' id='qID_18' value='269782' \/><input type='hidden' id='answerType269782' 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-269782[]' id='answer-id-1062847' class='answer   answerof-269782 ' value='1062847'   \/><label for='answer-id-1062847' id='answer-label-1062847' class=' answer'><span>Predictive models need historical data to be created<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269782[]' id='answer-id-1062848' class='answer   answerof-269782 ' value='1062848'   \/><label for='answer-id-1062848' id='answer-label-1062848' class=' answer'><span>Predictive models need to be specified in a data attribute<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269782[]' id='answer-id-1062849' class='answer   answerof-269782 ' value='1062849'   \/><label for='answer-id-1062849' id='answer-label-1062849' class=' answer'><span>Predictive models are always associated with an action<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269782[]' id='answer-id-1062850' class='answer   answerof-269782 ' value='1062850'   \/><label for='answer-id-1062850' id='answer-label-1062850' class=' answer'><span>Predictive models need unstructured bie 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-269783'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>Configuring an adaptive model involves selecting the potential predictors. <br \/>\r<br>How many potential predictors are recommended for an adaptive model?<\/div><input type='hidden' name='question_id[]' id='qID_19' value='269783' \/><input type='hidden' id='answerType269783' 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-269783[]' id='answer-id-1062851' class='answer   answerof-269783 ' value='1062851'   \/><label for='answer-id-1062851' id='answer-label-1062851' class=' answer'><span>At least 100 fields to reach an acceptable level of model performance<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269783[]' id='answer-id-1062852' class='answer   answerof-269783 ' value='1062852'   \/><label for='answer-id-1062852' id='answer-label-1062852' class=' answer'><span>All fields that have been predictive in the past<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269783[]' id='answer-id-1062853' class='answer   answerof-269783 ' value='1062853'   \/><label for='answer-id-1062853' id='answer-label-1062853' class=' answer'><span>All available uncorrected fields<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269783[]' id='answer-id-1062854' class='answer   answerof-269783 ' value='1062854'   \/><label for='answer-id-1062854' id='answer-label-1062854' class=' answer'><span>Up to 100 fields to limit the impact on model speed<\/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-269784'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>When you build a decision strategy, what property do you use to access the output of a prediction that is driven by a predictive model markup language (PMML) model?<\/div><input type='hidden' name='question_id[]' id='qID_20' value='269784' \/><input type='hidden' id='answerType269784' 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-269784[]' id='answer-id-1062855' class='answer   answerof-269784 ' value='1062855'   \/><label for='answer-id-1062855' id='answer-label-1062855' class=' answer'><span>pxEvidence<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269784[]' id='answer-id-1062856' class='answer   answerof-269784 ' value='1062856'   \/><label for='answer-id-1062856' id='answer-label-1062856' class=' answer'><span>pxResult<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269784[]' id='answer-id-1062857' class='answer   answerof-269784 ' value='1062857'   \/><label for='answer-id-1062857' id='answer-label-1062857' class=' answer'><span>pxSegment<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269784[]' id='answer-id-1062858' class='answer   answerof-269784 ' value='1062858'   \/><label for='answer-id-1062858' id='answer-label-1062858' class=' answer'><span>nxOutcome<\/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-269785'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/span>The purpose of predictions is to______________<\/div><input type='hidden' name='question_id[]' id='qID_21' value='269785' \/><input type='hidden' id='answerType269785' 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-269785[]' id='answer-id-1062859' class='answer   answerof-269785 ' value='1062859'   \/><label for='answer-id-1062859' id='answer-label-1062859' class=' answer'><span>build adaptive models<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269785[]' id='answer-id-1062860' class='answer   answerof-269785 ' value='1062860'   \/><label for='answer-id-1062860' id='answer-label-1062860' 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-269785[]' id='answer-id-1062861' class='answer   answerof-269785 ' value='1062861'   \/><label for='answer-id-1062861' id='answer-label-1062861' class=' answer'><span>add best data scientist practices to adaptive models<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269785[]' id='answer-id-1062862' class='answer   answerof-269785 ' value='1062862'   \/><label for='answer-id-1062862' id='answer-label-1062862' class=' answer'><span>add predictors to adaptive models<\/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-269786'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/span>When building a predictive model, at what stage do you compare the performance of predictive models?<\/div><input type='hidden' name='question_id[]' id='qID_22' value='269786' \/><input type='hidden' id='answerType269786' 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-269786[]' id='answer-id-1062863' class='answer   answerof-269786 ' value='1062863'   \/><label for='answer-id-1062863' id='answer-label-1062863' class=' answer'><span>Model Development stage<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269786[]' id='answer-id-1062864' class='answer   answerof-269786 ' value='1062864'   \/><label for='answer-id-1062864' id='answer-label-1062864' class=' answer'><span>Model Analysis stage<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269786[]' id='answer-id-1062865' class='answer   answerof-269786 ' value='1062865'   \/><label for='answer-id-1062865' id='answer-label-1062865' class=' answer'><span>Model Export stage<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269786[]' id='answer-id-1062866' class='answer   answerof-269786 ' value='1062866'   \/><label for='answer-id-1062866' id='answer-label-1062866' class=' answer'><span>Model Comparison stage<\/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-269787'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/span>When building a predictive model, the Data Analysis stage is where you<\/div><input type='hidden' name='question_id[]' id='qID_23' value='269787' \/><input type='hidden' id='answerType269787' 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-269787[]' id='answer-id-1062867' class='answer   answerof-269787 ' value='1062867'   \/><label for='answer-id-1062867' id='answer-label-1062867' class=' answer'><span>create data samples<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269787[]' id='answer-id-1062868' class='answer   answerof-269787 ' value='1062868'   \/><label for='answer-id-1062868' id='answer-label-1062868' class=' answer'><span>select the input data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269787[]' id='answer-id-1062869' class='answer   answerof-269787 ' value='1062869'   \/><label for='answer-id-1062869' id='answer-label-1062869' class=' answer'><span>group predictors<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269787[]' id='answer-id-1062870' class='answer   answerof-269787 ' value='1062870'   \/><label for='answer-id-1062870' id='answer-label-1062870' class=' answer'><span>determine the output field<\/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-269788'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/span>A telecom company is interested in improving customer engagement on social media. However, there are hundreds of relevant messages posted every day, and it is not practical for customer service representatives (CSRs) to review and respond to all messages. Instead, CSRs should focus on negative messages. <br \/>\r<br>What do you need to analyze the incoming messages?<\/div><input type='hidden' name='question_id[]' id='qID_24' value='269788' \/><input type='hidden' id='answerType269788' 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-269788[]' id='answer-id-1062871' class='answer   answerof-269788 ' value='1062871'   \/><label for='answer-id-1062871' id='answer-label-1062871' class=' answer'><span>Predictive model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269788[]' id='answer-id-1062872' class='answer   answerof-269788 ' value='1062872'   \/><label for='answer-id-1062872' id='answer-label-1062872' class=' answer'><span>Adaptive model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269788[]' id='answer-id-1062873' class='answer   answerof-269788 ' value='1062873'   \/><label for='answer-id-1062873' id='answer-label-1062873' class=' answer'><span>Text categorization model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269788[]' id='answer-id-1062874' class='answer   answerof-269788 ' value='1062874'   \/><label for='answer-id-1062874' id='answer-label-1062874' class=' answer'><span>Text extraction model<\/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-269789'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/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_25' value='269789' \/><input type='hidden' id='answerType269789' 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-269789[]' id='answer-id-1062875' class='answer   answerof-269789 ' value='1062875'   \/><label for='answer-id-1062875' id='answer-label-1062875' class=' answer'><span>Group By<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269789[]' id='answer-id-1062876' class='answer   answerof-269789 ' value='1062876'   \/><label for='answer-id-1062876' id='answer-label-1062876' class=' answer'><span>Filter<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269789[]' id='answer-id-1062877' class='answer   answerof-269789 ' value='1062877'   \/><label for='answer-id-1062877' id='answer-label-1062877' class=' answer'><span>Set Property<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269789[]' id='answer-id-1062878' class='answer   answerof-269789 ' value='1062878'   \/><label for='answer-id-1062878' id='answer-label-1062878' class=' answer'><span>Prioritize<\/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-269790'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/span>As a highly experienced data scientist, which two advanced settings are available to you? (Choose Two)<\/div><input type='hidden' name='question_id[]' id='qID_26' value='269790' \/><input type='hidden' id='answerType269790' 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-269790[]' id='answer-id-1062879' class='answer   answerof-269790 ' value='1062879'   \/><label for='answer-id-1062879' id='answer-label-1062879' class=' answer'><span>Outcomes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-269790[]' id='answer-id-1062880' class='answer   answerof-269790 ' value='1062880'   \/><label for='answer-id-1062880' id='answer-label-1062880' class=' answer'><span>Predictor types<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-269790[]' id='answer-id-1062881' class='answer   answerof-269790 ' value='1062881'   \/><label for='answer-id-1062881' id='answer-label-1062881' class=' answer'><span>The parameters used to bin the responses<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-269790[]' id='answer-id-1062882' class='answer   answerof-269790 ' value='1062882'   \/><label for='answer-id-1062882' id='answer-label-1062882' class=' answer'><span>Predictor selection<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-269790[]' id='answer-id-1062883' class='answer   answerof-269790 ' value='1062883'   \/><label for='answer-id-1062883' id='answer-label-1062883' class=' answer'><span>The update frequency of the models<\/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-269791'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/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_27' value='269791' \/><input type='hidden' id='answerType269791' 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-269791[]' id='answer-id-1062884' class='answer   answerof-269791 ' value='1062884'   \/><label for='answer-id-1062884' id='answer-label-1062884' class=' answer'><span>Scorecard Model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269791[]' id='answer-id-1062885' class='answer   answerof-269791 ' value='1062885'   \/><label for='answer-id-1062885' id='answer-label-1062885' class=' answer'><span>Adaptive Model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269791[]' id='answer-id-1062886' class='answer   answerof-269791 ' value='1062886'   \/><label for='answer-id-1062886' id='answer-label-1062886' class=' answer'><span>PMML Model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269791[]' id='answer-id-1062887' class='answer   answerof-269791 ' value='1062887'   \/><label for='answer-id-1062887' id='answer-label-1062887' class=' answer'><span>Predictive Model<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-28' style=';'><div id='questionWrap-28'  class='   watupro-question-id-269792'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/span>The Predictive Model Markup Language (PMML) allows for predictive models to<\/div><input type='hidden' name='question_id[]' id='qID_28' value='269792' \/><input type='hidden' id='answerType269792' 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-269792[]' id='answer-id-1062888' class='answer   answerof-269792 ' value='1062888'   \/><label for='answer-id-1062888' id='answer-label-1062888' class=' answer'><span>Perform better<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269792[]' id='answer-id-1062889' class='answer   answerof-269792 ' value='1062889'   \/><label for='answer-id-1062889' id='answer-label-1062889' class=' answer'><span>Be easily shared between applications<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269792[]' id='answer-id-1062890' class='answer   answerof-269792 ' value='1062890'   \/><label for='answer-id-1062890' id='answer-label-1062890' class=' answer'><span>Use the same modeling process<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269792[]' id='answer-id-1062891' class='answer   answerof-269792 ' value='1062891'   \/><label for='answer-id-1062891' id='answer-label-1062891' class=' answer'><span>Be developed faster<\/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-269793'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>Which decision component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%?<\/div><input type='hidden' name='question_id[]' id='qID_29' value='269793' \/><input type='hidden' id='answerType269793' 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-269793[]' id='answer-id-1062892' class='answer   answerof-269793 ' value='1062892'   \/><label for='answer-id-1062892' id='answer-label-1062892' class=' answer'><span>Filter<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269793[]' id='answer-id-1062893' class='answer   answerof-269793 ' value='1062893'   \/><label for='answer-id-1062893' id='answer-label-1062893' class=' answer'><span>Champion Challenger<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269793[]' id='answer-id-1062894' class='answer   answerof-269793 ' value='1062894'   \/><label for='answer-id-1062894' id='answer-label-1062894' class=' answer'><span>Adaptive Model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269793[]' id='answer-id-1062895' class='answer   answerof-269793 ' value='1062895'   \/><label for='answer-id-1062895' id='answer-label-1062895' class=' answer'><span>Switch<\/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-269794'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/span>To configure an adaptive model, the responses that indicate specific customer behavior must be identified. <br \/>\r<br>What types of behavior need to be identified?<\/div><input type='hidden' name='question_id[]' id='qID_30' value='269794' \/><input type='hidden' id='answerType269794' 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-269794[]' id='answer-id-1062896' class='answer   answerof-269794 ' value='1062896'   \/><label for='answer-id-1062896' id='answer-label-1062896' class=' answer'><span>Positive and negative behavior<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269794[]' id='answer-id-1062897' class='answer   answerof-269794 ' value='1062897'   \/><label for='answer-id-1062897' id='answer-label-1062897' class=' answer'><span>Any behavior<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269794[]' id='answer-id-1062898' class='answer   answerof-269794 ' value='1062898'   \/><label for='answer-id-1062898' id='answer-label-1062898' class=' answer'><span>Positive behavior only<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269794[]' id='answer-id-1062899' class='answer   answerof-269794 ' value='1062899'   \/><label for='answer-id-1062899' id='answer-label-1062899' class=' answer'><span>Positive, neutral, and negative behavior<\/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-269795'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>31. <\/span>When implementing Next-Best-Action, the Customer Lifetime Value Threshold is typically used to_________.<\/div><input type='hidden' name='question_id[]' id='qID_31' value='269795' \/><input type='hidden' id='answerType269795' 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-269795[]' id='answer-id-1062900' class='answer   answerof-269795 ' value='1062900'   \/><label for='answer-id-1062900' id='answer-label-1062900' class=' answer'><span>prioritize high value propositions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269795[]' id='answer-id-1062901' class='answer   answerof-269795 ' value='1062901'   \/><label for='answer-id-1062901' id='answer-label-1062901' class=' answer'><span>prioritize customers<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269795[]' id='answer-id-1062902' class='answer   answerof-269795 ' value='1062902'   \/><label for='answer-id-1062902' id='answer-label-1062902' class=' answer'><span>determine if the customer is eligible<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269795[]' id='answer-id-1062903' class='answer   answerof-269795 ' value='1062903'   \/><label for='answer-id-1062903' id='answer-label-1062903' class=' answer'><span>calculate the customer's lifetime value<\/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-269796'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>32. <\/span>A legal firm wants to use text analytics for easier and faster access to information to helo with compliance related issues. The legal firm needs a taxonomy of legal concepts. <br \/>\r<br>What is a taxonomy?<\/div><input type='hidden' name='question_id[]' id='qID_32' value='269796' \/><input type='hidden' id='answerType269796' 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-269796[]' id='answer-id-1062904' class='answer   answerof-269796 ' value='1062904'   \/><label for='answer-id-1062904' id='answer-label-1062904' class=' answer'><span>A list of business rules<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269796[]' id='answer-id-1062905' class='answer   answerof-269796 ' value='1062905'   \/><label for='answer-id-1062905' id='answer-label-1062905' class=' answer'><span>The output of an expert survey<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269796[]' id='answer-id-1062906' class='answer   answerof-269796 ' value='1062906'   \/><label for='answer-id-1062906' id='answer-label-1062906' class=' answer'><span>A sentiment analysis model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269796[]' id='answer-id-1062907' class='answer   answerof-269796 ' value='1062907'   \/><label for='answer-id-1062907' id='answer-label-1062907' class=' answer'><span>A list of valid categories<\/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-269797'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>33. <\/span>To optimize their customer interactions, U+ Bank routes all emails that are complaints to a specialized department. To identify emails that voice a complaint, the text prediction uses___________<\/div><input type='hidden' name='question_id[]' id='qID_33' value='269797' \/><input type='hidden' id='answerType269797' 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-269797[]' id='answer-id-1062908' class='answer   answerof-269797 ' value='1062908'   \/><label for='answer-id-1062908' id='answer-label-1062908' class=' answer'><span>An entity extraction model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269797[]' id='answer-id-1062909' class='answer   answerof-269797 ' value='1062909'   \/><label for='answer-id-1062909' id='answer-label-1062909' class=' answer'><span>a topic model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269797[]' id='answer-id-1062910' class='answer   answerof-269797 ' value='1062910'   \/><label for='answer-id-1062910' id='answer-label-1062910' class=' answer'><span>a language model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269797[]' id='answer-id-1062911' class='answer   answerof-269797 ' value='1062911'   \/><label for='answer-id-1062911' id='answer-label-1062911' class=' answer'><span>a sentiment 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-269798'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>34. <\/span>As a data scientist, you are asked to create a prediction to optimize the click-through rate of a web banner. <br \/>\r<br>What type of prediction do you need to create in Prediction studio?<\/div><input type='hidden' name='question_id[]' id='qID_34' value='269798' \/><input type='hidden' id='answerType269798' 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-269798[]' id='answer-id-1062912' class='answer   answerof-269798 ' value='1062912'   \/><label for='answer-id-1062912' id='answer-label-1062912' class=' answer'><span>Adaptive prediction<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269798[]' id='answer-id-1062913' class='answer   answerof-269798 ' value='1062913'   \/><label for='answer-id-1062913' id='answer-label-1062913' class=' answer'><span>Case management<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269798[]' id='answer-id-1062914' class='answer   answerof-269798 ' value='1062914'   \/><label for='answer-id-1062914' id='answer-label-1062914' class=' answer'><span>Customer Decision Hub<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269798[]' id='answer-id-1062915' class='answer   answerof-269798 ' value='1062915'   \/><label for='answer-id-1062915' id='answer-label-1062915' class=' answer'><span>Text analysis<\/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-269799'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>35. <\/span>Predictions combine predictive analytics and best practices in data science. As a data scientist, what is a valid reason to adjust the default response timeout in a prediction?<\/div><input type='hidden' name='question_id[]' id='qID_35' value='269799' \/><input type='hidden' id='answerType269799' 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-269799[]' id='answer-id-1062916' class='answer   answerof-269799 ' value='1062916'   \/><label for='answer-id-1062916' id='answer-label-1062916' class=' answer'><span>Suit the use case<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269799[]' id='answer-id-1062917' class='answer   answerof-269799 ' value='1062917'   \/><label for='answer-id-1062917' id='answer-label-1062917' class=' answer'><span>Optimize the success rate<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269799[]' id='answer-id-1062918' class='answer   answerof-269799 ' value='1062918'   \/><label for='answer-id-1062918' id='answer-label-1062918' class=' answer'><span>Increase lift<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269799[]' id='answer-id-1062919' class='answer   answerof-269799 ' value='1062919'   \/><label for='answer-id-1062919' id='answer-label-1062919' class=' answer'><span>Limit the number of responses<\/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-269800'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>36. <\/span>Prediction Studio supports keyword-based topic detection, model-based topic detection and the combination of these. <br \/>\r<br>When using machine learning,<\/div><input type='hidden' name='question_id[]' id='qID_36' value='269800' \/><input type='hidden' id='answerType269800' 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-269800[]' id='answer-id-1062920' class='answer   answerof-269800 ' value='1062920'   \/><label for='answer-id-1062920' id='answer-label-1062920' class=' answer'><span>keywords have a higher impact on the model than the training data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269800[]' id='answer-id-1062921' class='answer   answerof-269800 ' value='1062921'   \/><label for='answer-id-1062921' id='answer-label-1062921' class=' answer'><span>the Must keywords are required to detect the topic<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269800[]' id='answer-id-1062922' class='answer   answerof-269800 ' value='1062922'   \/><label for='answer-id-1062922' id='answer-label-1062922' class=' answer'><span>the Must keywords function as positive features<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269800[]' id='answer-id-1062923' class='answer   answerof-269800 ' value='1062923'   \/><label for='answer-id-1062923' id='answer-label-1062923' class=' answer'><span>the keywords are ignored<\/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-269801'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>37. <\/span>What happens when you increase the performance threshold setting of an adaptive model rule?<\/div><input type='hidden' name='question_id[]' id='qID_37' value='269801' \/><input type='hidden' id='answerType269801' 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-269801[]' id='answer-id-1062924' class='answer   answerof-269801 ' value='1062924'   \/><label for='answer-id-1062924' id='answer-label-1062924' class=' answer'><span>The number of active predictors increases<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269801[]' id='answer-id-1062925' class='answer   answerof-269801 ' value='1062925'   \/><label for='answer-id-1062925' id='answer-label-1062925' 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-269801[]' id='answer-id-1062926' class='answer   answerof-269801 ' value='1062926'   \/><label for='answer-id-1062926' id='answer-label-1062926' class=' answer'><span>The correlation threshold decreases<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269801[]' id='answer-id-1062927' class='answer   answerof-269801 ' value='1062927'   \/><label for='answer-id-1062927' id='answer-label-1062927' 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-38' style=';'><div id='questionWrap-38'  class='   watupro-question-id-269802'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>38. <\/span>To enable an assessment of its reliability, the Adaptive Model produces three outputs: Propensity, Performance and Evidence. The performance of an Adaptive Model that has not collected any evidence is_________.<\/div><input type='hidden' name='question_id[]' id='qID_38' value='269802' \/><input type='hidden' id='answerType269802' 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-269802[]' id='answer-id-1062928' class='answer   answerof-269802 ' value='1062928'   \/><label for='answer-id-1062928' id='answer-label-1062928' class=' answer'><span>1-0<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269802[]' id='answer-id-1062929' class='answer   answerof-269802 ' value='1062929'   \/><label for='answer-id-1062929' id='answer-label-1062929' class=' answer'><span>null<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269802[]' id='answer-id-1062930' class='answer   answerof-269802 ' value='1062930'   \/><label for='answer-id-1062930' id='answer-label-1062930' class=' answer'><span>0.5<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269802[]' id='answer-id-1062931' class='answer   answerof-269802 ' value='1062931'   \/><label for='answer-id-1062931' id='answer-label-1062931' class=' answer'><span>0.0<\/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-269803'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>39. <\/span>As a data scientist, you are tasked with creating a new prediction that estimates a customers' likelihood to leave the business in the near future. The NBA analyst wants to move forward and use the prediction in Pega Customer Decision Hub&#8482; to test the application. <br \/>\r<br>To unblock the NBA specialist, which task do you prioritize?<\/div><input type='hidden' name='question_id[]' id='qID_39' value='269803' \/><input type='hidden' id='answerType269803' 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-269803[]' id='answer-id-1062932' class='answer   answerof-269803 ' value='1062932'   \/><label for='answer-id-1062932' id='answer-label-1062932' class=' answer'><span>Create the prediction<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269803[]' id='answer-id-1062933' class='answer   answerof-269803 ' value='1062933'   \/><label for='answer-id-1062933' id='answer-label-1062933' class=' answer'><span>Create the customer data model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269803[]' id='answer-id-1062934' class='answer   answerof-269803 ' value='1062934'   \/><label for='answer-id-1062934' id='answer-label-1062934' class=' answer'><span>Create a placeholder scorecard to drive the prediction<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269803[]' id='answer-id-1062935' class='answer   answerof-269803 ' value='1062935'   \/><label for='answer-id-1062935' id='answer-label-1062935' class=' answer'><span>Create the predictive model that drives the prediction<\/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-269804'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>40. <\/span>Which property is automatically recomputed for each decision component?<\/div><input type='hidden' name='question_id[]' id='qID_40' value='269804' \/><input type='hidden' id='answerType269804' 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-269804[]' id='answer-id-1062936' class='answer   answerof-269804 ' value='1062936'   \/><label for='answer-id-1062936' id='answer-label-1062936' class=' answer'><span>Property<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269804[]' id='answer-id-1062937' class='answer   answerof-269804 ' value='1062937'   \/><label for='answer-id-1062937' id='answer-label-1062937' class=' answer'><span>Rank<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269804[]' id='answer-id-1062938' class='answer   answerof-269804 ' value='1062938'   \/><label for='answer-id-1062938' id='answer-label-1062938' class=' answer'><span>Order<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269804[]' id='answer-id-1062939' class='answer   answerof-269804 ' value='1062939'   \/><label for='answer-id-1062939' id='answer-label-1062939' class=' answer'><span>Priority<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-41' style=';'><div id='questionWrap-41'  class='   watupro-question-id-269805'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>41. <\/span>Pega Decision Management enables organizations to make next-best-action decisions. <br \/>\r<br>To which types of decisions can next-best-action be applied?<\/div><input type='hidden' name='question_id[]' id='qID_41' value='269805' \/><input type='hidden' id='answerType269805' 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-269805[]' id='answer-id-1062940' class='answer   answerof-269805 ' value='1062940'   \/><label for='answer-id-1062940' id='answer-label-1062940' class=' answer'><span>Determining how to optimize the product portfolio to increase market share<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269805[]' id='answer-id-1062941' class='answer   answerof-269805 ' value='1062941'   \/><label for='answer-id-1062941' id='answer-label-1062941' class=' answer'><span>Determining why response rates for a campaign in one region are below average<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269805[]' id='answer-id-1062942' class='answer   answerof-269805 ' value='1062942'   \/><label for='answer-id-1062942' id='answer-label-1062942' class=' answer'><span>Determining the cause of a customer's problem<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269805[]' id='answer-id-1062943' class='answer   answerof-269805 ' value='1062943'   \/><label for='answer-id-1062943' id='answer-label-1062943' class=' answer'><span>Determining which banner to show on a web site to increase click rate<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-42' style=';'><div id='questionWrap-42'  class='   watupro-question-id-269806'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>42. <\/span>The management team at U+ Insurance wants to improve the experience of dissatisfied customers. The customers send the feedback through email. <br \/>\r<br>To detect the sentiment of the incoming emails, which type of prediction do you need to configure in Prediction Studio?<\/div><input type='hidden' name='question_id[]' id='qID_42' value='269806' \/><input type='hidden' id='answerType269806' 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-269806[]' id='answer-id-1062944' class='answer   answerof-269806 ' value='1062944'   \/><label for='answer-id-1062944' id='answer-label-1062944' class=' answer'><span>Pega Customer Decision Hub&#8482; prediction.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269806[]' id='answer-id-1062945' class='answer   answerof-269806 ' value='1062945'   \/><label for='answer-id-1062945' id='answer-label-1062945' class=' answer'><span>Sentiment detection does not require any predictions.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269806[]' id='answer-id-1062946' class='answer   answerof-269806 ' value='1062946'   \/><label for='answer-id-1062946' id='answer-label-1062946' class=' answer'><span>Case management prediction.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269806[]' id='answer-id-1062947' class='answer   answerof-269806 ' value='1062947'   \/><label for='answer-id-1062947' id='answer-label-1062947' class=' answer'><span>Text analytics prediction.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-43' style=';'><div id='questionWrap-43'  class='   watupro-question-id-269807'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>43. <\/span>In a decision strategy, to remove propositions based on the current month, you use a<\/div><input type='hidden' name='question_id[]' id='qID_43' value='269807' \/><input type='hidden' id='answerType269807' 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-269807[]' id='answer-id-1062948' class='answer   answerof-269807 ' value='1062948'   \/><label for='answer-id-1062948' id='answer-label-1062948' class=' answer'><span>Calendar component<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269807[]' id='answer-id-1062949' class='answer   answerof-269807 ' value='1062949'   \/><label for='answer-id-1062949' id='answer-label-1062949' class=' answer'><span>Filter component<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269807[]' id='answer-id-1062950' class='answer   answerof-269807 ' value='1062950'   \/><label for='answer-id-1062950' id='answer-label-1062950' class=' answer'><span>Data Strategy property<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269807[]' id='answer-id-1062951' class='answer   answerof-269807 ' value='1062951'   \/><label for='answer-id-1062951' id='answer-label-1062951' class=' answer'><span>Calendar strategy property<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-44' style=';'><div id='questionWrap-44'  class='   watupro-question-id-269808'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>44. <\/span>The result of a Predictive Model is stored in a property called__________.<\/div><input type='hidden' name='question_id[]' id='qID_44' value='269808' \/><input type='hidden' id='answerType269808' 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-269808[]' id='answer-id-1062952' class='answer   answerof-269808 ' value='1062952'   \/><label for='answer-id-1062952' id='answer-label-1062952' class=' answer'><span>pyPrediction<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269808[]' id='answer-id-1062953' class='answer   answerof-269808 ' value='1062953'   \/><label for='answer-id-1062953' id='answer-label-1062953' class=' answer'><span>pxResult<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269808[]' id='answer-id-1062954' class='answer   answerof-269808 ' value='1062954'   \/><label for='answer-id-1062954' id='answer-label-1062954' class=' answer'><span>pyOutcome<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269808[]' id='answer-id-1062955' class='answer   answerof-269808 ' value='1062955'   \/><label for='answer-id-1062955' id='answer-label-1062955' class=' answer'><span>pxSegment<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-45' style=';'><div id='questionWrap-45'  class='   watupro-question-id-269809'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>45. <\/span>Which value is output by an Adaptive Model?<\/div><input type='hidden' name='question_id[]' id='qID_45' value='269809' \/><input type='hidden' id='answerType269809' 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-269809[]' id='answer-id-1062956' class='answer   answerof-269809 ' value='1062956'   \/><label for='answer-id-1062956' id='answer-label-1062956' class=' answer'><span>Score<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269809[]' id='answer-id-1062957' class='answer   answerof-269809 ' value='1062957'   \/><label for='answer-id-1062957' id='answer-label-1062957' class=' answer'><span>Performance<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269809[]' id='answer-id-1062958' class='answer   answerof-269809 ' value='1062958'   \/><label for='answer-id-1062958' id='answer-label-1062958' class=' answer'><span>Behavior<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269809[]' id='answer-id-1062959' class='answer   answerof-269809 ' value='1062959'   \/><label for='answer-id-1062959' id='answer-label-1062959' class=' answer'><span>Lift<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-46' style=';'><div id='questionWrap-46'  class='   watupro-question-id-269810'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>46. <\/span>Proactive retention is applicable when a customer is<\/div><input type='hidden' name='question_id[]' id='qID_46' value='269810' \/><input type='hidden' id='answerType269810' 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-269810[]' id='answer-id-1062960' class='answer   answerof-269810 ' value='1062960'   \/><label for='answer-id-1062960' id='answer-label-1062960' class=' answer'><span>Initiating contact to churn<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269810[]' id='answer-id-1062961' class='answer   answerof-269810 ' value='1062961'   \/><label for='answer-id-1062961' id='answer-label-1062961' class=' answer'><span>A high value customer<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269810[]' id='answer-id-1062962' class='answer   answerof-269810 ' value='1062962'   \/><label for='answer-id-1062962' id='answer-label-1062962' class=' answer'><span>In a collections process<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269810[]' id='answer-id-1062963' class='answer   answerof-269810 ' value='1062963'   \/><label for='answer-id-1062963' id='answer-label-1062963' class=' answer'><span>Likely to churn<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-47' style=';'><div id='questionWrap-47'  class='   watupro-question-id-269811'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>47. <\/span>Adaptive model components can output__________<\/div><input type='hidden' name='question_id[]' id='qID_47' value='269811' \/><input type='hidden' id='answerType269811' 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-269811[]' id='answer-id-1062964' class='answer   answerof-269811 ' value='1062964'   \/><label for='answer-id-1062964' id='answer-label-1062964' class=' answer'><span>An option___________<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269811[]' id='answer-id-1062965' class='answer   answerof-269811 ' value='1062965'   \/><label for='answer-id-1062965' id='answer-label-1062965' class=' answer'><span>An optimized strategy<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269811[]' id='answer-id-1062966' class='answer   answerof-269811 ' value='1062966'   \/><label for='answer-id-1062966' id='answer-label-1062966' class=' answer'><span>The number of customer's eligible for an action<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269811[]' id='answer-id-1062967' class='answer   answerof-269811 ' value='1062967'   \/><label for='answer-id-1062967' id='answer-label-1062967' class=' answer'><span>The customer's propensity to accept an action<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-48' style=';'><div id='questionWrap-48'  class='   watupro-question-id-269812'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>48. <\/span>U+ Insurance uses Pega Process AI&#8482; to route complex claims to an expert. As a data scientist, you have used the wizard to create a prediction with Case completion as the outcome to help with decision routing. You are tasked with monitoring the adaptive models. <br \/>\r<br>When you open the monitoring tab of the adaptive model rule, you see the following chart: <br \/>\r<br><br><img decoding=\"async\" width=263 height=174 id=\"\u56fe\u7247 14\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2023\/05\/image001-87.jpg\"><br><br \/>\r<br>In this scenario, the system creates an adaptive model for each<\/div><input type='hidden' name='question_id[]' id='qID_48' value='269812' \/><input type='hidden' id='answerType269812' 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-269812[]' id='answer-id-1062968' class='answer   answerof-269812 ' value='1062968'   \/><label for='answer-id-1062968' id='answer-label-1062968' class=' answer'><span>case type instance<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269812[]' id='answer-id-1062969' class='answer   answerof-269812 ' value='1062969'   \/><label for='answer-id-1062969' id='answer-label-1062969' class=' answer'><span>case type<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269812[]' id='answer-id-1062970' class='answer   answerof-269812 ' value='1062970'   \/><label for='answer-id-1062970' id='answer-label-1062970' class=' answer'><span>case type step<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269812[]' id='answer-id-1062971' class='answer   answerof-269812 ' value='1062971'   \/><label for='answer-id-1062971' id='answer-label-1062971' class=' answer'><span>case type stage<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-49' style=';'><div id='questionWrap-49'  class='   watupro-question-id-269813'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>49. <\/span>Which statement about the PMML standard is correct?<\/div><input type='hidden' name='question_id[]' id='qID_49' value='269813' \/><input type='hidden' id='answerType269813' 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-269813[]' id='answer-id-1062972' class='answer   answerof-269813 ' value='1062972'   \/><label for='answer-id-1062972' id='answer-label-1062972' class=' answer'><span>The PMML standard is designed to facilitate the exchange of models between applications<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269813[]' id='answer-id-1062973' class='answer   answerof-269813 ' value='1062973'   \/><label for='answer-id-1062973' id='answer-label-1062973' class=' answer'><span>The PMML standard can only be used to describe tree, scorecard and regression models.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269813[]' id='answer-id-1062974' class='answer   answerof-269813 ' value='1062974'   \/><label for='answer-id-1062974' id='answer-label-1062974' class=' answer'><span>The PMML standard is a proprietary standard<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269813[]' id='answer-id-1062975' class='answer   answerof-269813 ' value='1062975'   \/><label for='answer-id-1062975' id='answer-label-1062975' class=' answer'><span>The PMML standard is designed to facilitate the exchange of scores between applications<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-50' style=';'><div id='questionWrap-50'  class='   watupro-question-id-269814'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>50. <\/span>The standardized model operations process (MLOps) lets you replace a low-performing predictive model that drives a prediction with a superior one. <br \/>\r<br>When you place the new model in shadow mode in the production environment, the current model___________<\/div><input type='hidden' name='question_id[]' id='qID_50' value='269814' \/><input type='hidden' id='answerType269814' 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-269814[]' id='answer-id-1062976' class='answer   answerof-269814 ' value='1062976'   \/><label for='answer-id-1062976' id='answer-label-1062976' class=' answer'><span>uses the outcomes of the new model as predictors<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269814[]' id='answer-id-1062977' class='answer   answerof-269814 ' value='1062977'   \/><label for='answer-id-1062977' id='answer-label-1062977' class=' answer'><span>is automatically replaced<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269814[]' id='answer-id-1062978' class='answer   answerof-269814 ' value='1062978'   \/><label for='answer-id-1062978' id='answer-label-1062978' class=' answer'><span>drives the prediction<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-269814[]' id='answer-id-1062979' class='answer   answerof-269814 ' value='1062979'   \/><label for='answer-id-1062979' id='answer-label-1062979' class=' answer'><span>no longer drives the prediction<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div style='display:none' id='question-51'>\n\t<div class='question-content'>\n\t\t<img 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