{"id":122403,"date":"2026-03-25T08:19:02","date_gmt":"2026-03-25T08:19:02","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=122403"},"modified":"2026-03-25T08:19:02","modified_gmt":"2026-03-25T08:19:02","slug":"istqb-ct-ai-exam-dumps-v10-02-updated-materials-for-your-certified-tester-ai-testing-ct-ai-certification-preparation","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/istqb-ct-ai-exam-dumps-v10-02-updated-materials-for-your-certified-tester-ai-testing-ct-ai-certification-preparation.html","title":{"rendered":"ISTQB CT-AI Exam Dumps (V10.02) &#8211; Updated Materials for Your Certified Tester AI Testing (CT-AI) Certification Preparation"},"content":{"rendered":"<p>The ISTQB Certified Tester AI Testing (CT-AI) certification is the gold standard for professionals aiming to secure high-paying roles and leadership positions in AI quality assurance. If you are preparing for your CT-AI exam, you can have the most updated CT-AI exam dumps (V10.02) from DumpsBase. We offer the latest version with comprehensive exam questions and answers, ensuring you learn all the exam objectives thoroughly. Whether you prefer the portable flexibility of our printable PDF format or the robust environment of our offline desktop practice software, you are equipped with authentic, updated questions that mirror the real testing scenario. Start with DumpsBase, we ensure you can master the complexities of AI testing and pass your ISTQB Certified Tester AI Testing (CT-AI) certification on the first attempt, saving you time and maximizing your professional potential.<\/p>\n<h2><span style=\"background-color: #ffff99;\"><em>Read ISTQB CT-AI free dumps below<\/em><\/span> to check the updated version first:<\/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=\"submittingExam11775\" 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-11775\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-11775\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-461698'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>Which ONE of the following characteristics is the least likely to cause safety related issues for an Al system? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_1' value='461698' \/><input type='hidden' id='answerType461698' 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-461698[]' id='answer-id-1784260' class='answer   answerof-461698 ' value='1784260'   \/><label for='answer-id-1784260' id='answer-label-1784260' class=' answer'><span>Non-determinism<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461698[]' id='answer-id-1784261' class='answer   answerof-461698 ' value='1784261'   \/><label for='answer-id-1784261' id='answer-label-1784261' class=' answer'><span>Robustness<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461698[]' id='answer-id-1784262' class='answer   answerof-461698 ' value='1784262'   \/><label for='answer-id-1784262' id='answer-label-1784262' class=' answer'><span>High complexity<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461698[]' id='answer-id-1784263' class='answer   answerof-461698 ' value='1784263'   \/><label for='answer-id-1784263' id='answer-label-1784263' class=' answer'><span>Self-learning<\/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-461699'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>An e-commerce developer built an application for automatic classification of online products in order to allow customers to select products faster. The goal is to provide more relevant products to the user based on prior purchases. <br \/>\r<br>Which of the following factors is necessary for a supervised machine learning algorithm to be successful?<\/div><input type='hidden' name='question_id[]' id='qID_2' value='461699' \/><input type='hidden' id='answerType461699' 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-461699[]' id='answer-id-1784264' class='answer   answerof-461699 ' value='1784264'   \/><label for='answer-id-1784264' id='answer-label-1784264' class=' answer'><span>Labeling the data correctly<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461699[]' id='answer-id-1784265' class='answer   answerof-461699 ' value='1784265'   \/><label for='answer-id-1784265' id='answer-label-1784265' class=' answer'><span>Minimizing the amount of time spent training the algorithm<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461699[]' id='answer-id-1784266' class='answer   answerof-461699 ' value='1784266'   \/><label for='answer-id-1784266' id='answer-label-1784266' class=' answer'><span>Selecting the correct data pipeline for the ML training<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461699[]' id='answer-id-1784267' class='answer   answerof-461699 ' value='1784267'   \/><label for='answer-id-1784267' id='answer-label-1784267' class=' answer'><span>Grouping similar products together before feeding them into the algorithm<\/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-461700'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>ln the near future, technology will have evolved, and Al will be able to learn multiple tasks by itself without needing to be retrained, allowing it to operate even in new environments. The cognitive abilities of Al are similar to a child of 1-2 years.\u2019<br \/>\r\n<br \/>\r\nIn the above quote, which ONE of the following options is the correct name of this type of Al? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_3' value='461700' \/><input type='hidden' id='answerType461700' 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-461700[]' id='answer-id-1784268' class='answer   answerof-461700 ' value='1784268'   \/><label for='answer-id-1784268' id='answer-label-1784268' class=' answer'><span>Technological singularity<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461700[]' id='answer-id-1805830' class='answer   answerof-461700 ' value='1805830'   \/><label for='answer-id-1805830' id='answer-label-1805830' class=' answer'><span>Narrow Al<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461700[]' id='answer-id-1805831' class='answer   answerof-461700 ' value='1805831'   \/><label for='answer-id-1805831' id='answer-label-1805831' class=' answer'><span>Super Al<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461700[]' id='answer-id-1805832' class='answer   answerof-461700 ' value='1805832'   \/><label for='answer-id-1805832' id='answer-label-1805832' class=' answer'><span>General Al<\/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-461701'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>Which ONE of the following tests is MOST likely to describe a useful test to help detect different kinds of biases in ML pipeline? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_4' value='461701' \/><input type='hidden' id='answerType461701' 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-461701[]' id='answer-id-1784269' class='answer   answerof-461701 ' value='1784269'   \/><label for='answer-id-1784269' id='answer-label-1784269' class=' answer'><span>Testing the distribution shift in the training data for inappropriate bias.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461701[]' id='answer-id-1784270' class='answer   answerof-461701 ' value='1784270'   \/><label for='answer-id-1784270' id='answer-label-1784270' class=' answer'><span>Test the model during model evaluation for data bias.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461701[]' id='answer-id-1784271' class='answer   answerof-461701 ' value='1784271'   \/><label for='answer-id-1784271' id='answer-label-1784271' class=' answer'><span>Testing the data pipeline for any sources for algorithmic bias.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461701[]' id='answer-id-1784272' class='answer   answerof-461701 ' value='1784272'   \/><label for='answer-id-1784272' id='answer-label-1784272' class=' answer'><span>Check the input test data for potential sample bias.<\/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-461702'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>A software component uses machine learning to recognize the digits from a scan of handwritten numbers. <br \/>\r<br>In the scenario above, which type of Machine Learning (ML) is this an example of? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_5' value='461702' \/><input type='hidden' id='answerType461702' 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-461702[]' id='answer-id-1784273' class='answer   answerof-461702 ' value='1784273'   \/><label for='answer-id-1784273' id='answer-label-1784273' class=' answer'><span>Reinforcement learning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461702[]' id='answer-id-1784274' class='answer   answerof-461702 ' value='1784274'   \/><label for='answer-id-1784274' id='answer-label-1784274' class=' answer'><span>Regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461702[]' id='answer-id-1784275' class='answer   answerof-461702 ' value='1784275'   \/><label for='answer-id-1784275' id='answer-label-1784275' class=' answer'><span>Classification<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461702[]' id='answer-id-1784276' class='answer   answerof-461702 ' value='1784276'   \/><label for='answer-id-1784276' id='answer-label-1784276' class=' answer'><span>Clustering<\/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-461703'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>In a certain coffee producing region of Colombia, there have been some severe weather storms, resulting in massive losses in production. This caused a massive drop in stock price of coffee. <br \/>\r<br>Which ONE of the following types of testing SHOULD be performed for a machine learning model for stock-price prediction to detect influence of such phenomenon as above on price of coffee stock. SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_6' value='461703' \/><input type='hidden' id='answerType461703' 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-461703[]' id='answer-id-1784277' class='answer   answerof-461703 ' value='1784277'   \/><label for='answer-id-1784277' id='answer-label-1784277' class=' answer'><span>Testing for accuracy<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461703[]' id='answer-id-1784278' class='answer   answerof-461703 ' value='1784278'   \/><label for='answer-id-1784278' id='answer-label-1784278' class=' answer'><span>Testing for bias<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461703[]' id='answer-id-1784279' class='answer   answerof-461703 ' value='1784279'   \/><label for='answer-id-1784279' id='answer-label-1784279' class=' answer'><span>Testing for concept drift<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461703[]' id='answer-id-1784280' class='answer   answerof-461703 ' value='1784280'   \/><label for='answer-id-1784280' id='answer-label-1784280' class=' answer'><span>Testing for security<\/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-461704'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/span>Which ONE of the following options does NOT describe an Al technology related characteristic which differentiates Al test environments from other test environments? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_7' value='461704' \/><input type='hidden' id='answerType461704' 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-461704[]' id='answer-id-1784281' class='answer   answerof-461704 ' value='1784281'   \/><label for='answer-id-1784281' id='answer-label-1784281' class=' answer'><span>Challenges resulting from low accuracy of the models.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461704[]' id='answer-id-1805875' class='answer   answerof-461704 ' value='1805875'   \/><label for='answer-id-1805875' id='answer-label-1805875' class=' answer'><span>The challenge of mimicking undefined scenarios generated due to self-learning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461704[]' id='answer-id-1805876' class='answer   answerof-461704 ' value='1805876'   \/><label for='answer-id-1805876' id='answer-label-1805876' class=' answer'><span>The challenge of providing explainability to the decisions made by the system.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461704[]' id='answer-id-1805877' class='answer   answerof-461704 ' value='1805877'   \/><label for='answer-id-1805877' id='answer-label-1805877' class=' answer'><span>Challenges in the creation of scenarios of human handover for autonomous systems.<\/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-461705'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>Which ONE of the following activities is MOST relevant when addressing the scenario where you have more than the required amount of data available for the training? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_8' value='461705' \/><input type='hidden' id='answerType461705' 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-461705[]' id='answer-id-1784282' class='answer   answerof-461705 ' value='1784282'   \/><label for='answer-id-1784282' id='answer-label-1784282' class=' answer'><span>Feature selection<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461705[]' id='answer-id-1805872' class='answer   answerof-461705 ' value='1805872'   \/><label for='answer-id-1805872' id='answer-label-1805872' class=' answer'><span>Data sampling<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461705[]' id='answer-id-1805873' class='answer   answerof-461705 ' value='1805873'   \/><label for='answer-id-1805873' id='answer-label-1805873' class=' answer'><span>Data labeling<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461705[]' id='answer-id-1805874' class='answer   answerof-461705 ' value='1805874'   \/><label for='answer-id-1805874' id='answer-label-1805874' class=' answer'><span>Data augmentation<\/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-461706'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>Which of the following is a technique used in machine learning?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='461706' \/><input type='hidden' id='answerType461706' 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-461706[]' id='answer-id-1784283' class='answer   answerof-461706 ' value='1784283'   \/><label for='answer-id-1784283' id='answer-label-1784283' class=' answer'><span>Decision trees<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461706[]' id='answer-id-1784284' class='answer   answerof-461706 ' value='1784284'   \/><label for='answer-id-1784284' id='answer-label-1784284' class=' answer'><span>Equivalence partitioning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461706[]' id='answer-id-1784285' class='answer   answerof-461706 ' value='1784285'   \/><label for='answer-id-1784285' id='answer-label-1784285' class=' answer'><span>Boundary value analysis<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461706[]' id='answer-id-1784286' class='answer   answerof-461706 ' value='1784286'   \/><label for='answer-id-1784286' id='answer-label-1784286' class=' answer'><span>Decision tables<\/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-461707'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/span>A tourist calls an airline to book a ticket and is connected with an automated system which is able to recognize speech, understand requests related to purchasing a ticket, and provide relevant travel options. When the tourist asks about the expected weather at the destination or potential impacts on operations because of the tight labor market, the only response from the automated system is, &quot;I <br \/>\r<br>don\u2019t understand your question.&quot; <br \/>\r<br>This AI system should be categorized as?<\/div><input type='hidden' name='question_id[]' id='qID_10' value='461707' \/><input type='hidden' id='answerType461707' 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-461707[]' id='answer-id-1784287' class='answer   answerof-461707 ' value='1784287'   \/><label for='answer-id-1784287' id='answer-label-1784287' class=' answer'><span>General AI<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461707[]' id='answer-id-1784288' class='answer   answerof-461707 ' value='1784288'   \/><label for='answer-id-1784288' id='answer-label-1784288' class=' answer'><span>Narrow AI<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461707[]' id='answer-id-1784289' class='answer   answerof-461707 ' value='1784289'   \/><label for='answer-id-1784289' id='answer-label-1784289' class=' answer'><span>Super AI<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461707[]' id='answer-id-1784290' class='answer   answerof-461707 ' value='1784290'   \/><label for='answer-id-1784290' id='answer-label-1784290' class=' answer'><span>Conventional AI<\/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-461708'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/span>Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_11' value='461708' \/><input type='hidden' id='answerType461708' 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-461708[]' id='answer-id-1784291' class='answer   answerof-461708 ' value='1784291'   \/><label for='answer-id-1784291' id='answer-label-1784291' class=' answer'><span>Compliance needs require proper care to be taken of input personal data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461708[]' id='answer-id-1784292' class='answer   answerof-461708 ' value='1784292'   \/><label for='answer-id-1784292' id='answer-label-1784292' class=' answer'><span>Nature of data constantly changes with lime.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461708[]' id='answer-id-1784293' class='answer   answerof-461708 ' value='1784293'   \/><label for='answer-id-1784293' id='answer-label-1784293' class=' answer'><span>Data for the use case is being generated at a fast pace.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461708[]' id='answer-id-1784294' class='answer   answerof-461708 ' value='1784294'   \/><label for='answer-id-1784294' id='answer-label-1784294' class=' answer'><span>Test data being sourced from public sources.<\/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-461709'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/span>You have been developing test automation for an e-commerce system. One of the problems you are seeing is that object recognition in the GUI is having frequent failures. You have determined this is because the developers are changing the identifiers when they make code updates. <br \/>\r<br>How could AI help make the automation more reliable?<\/div><input type='hidden' name='question_id[]' id='qID_12' value='461709' \/><input type='hidden' id='answerType461709' 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-461709[]' id='answer-id-1784295' class='answer   answerof-461709 ' value='1784295'   \/><label for='answer-id-1784295' id='answer-label-1784295' class=' answer'><span>It could identify the objects multiple ways and then determine the most commonly used and stable identification for each object<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461709[]' id='answer-id-1784296' class='answer   answerof-461709 ' value='1784296'   \/><label for='answer-id-1784296' id='answer-label-1784296' class=' answer'><span>It could modify the automation code to ignore unrecognizable objects to avoid failures<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461709[]' id='answer-id-1784297' class='answer   answerof-461709 ' value='1784297'   \/><label for='answer-id-1784297' id='answer-label-1784297' class=' answer'><span>It could dynamically name the objects, altering the source code, so the object names will match the object names used in the automation<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461709[]' id='answer-id-1784298' class='answer   answerof-461709 ' value='1784298'   \/><label for='answer-id-1784298' id='answer-label-1784298' class=' answer'><span>It could generate a model that will anticipate developer changes and pre-alter the test automation code accordingly<\/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-461710'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/span>Which ONE of the following options describes a scenario of A\/B testing the LEAST? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_13' value='461710' \/><input type='hidden' id='answerType461710' 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-461710[]' id='answer-id-1784299' class='answer   answerof-461710 ' value='1784299'   \/><label for='answer-id-1784299' id='answer-label-1784299' class=' answer'><span>A comparison of two different websites for the same company to observe from a user acceptance perspective.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461710[]' id='answer-id-1805869' class='answer   answerof-461710 ' value='1805869'   \/><label for='answer-id-1805869' id='answer-label-1805869' class=' answer'><span>A comparison of two different offers in a recommendation system to decide on the more effective offer for same users.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461710[]' id='answer-id-1805870' class='answer   answerof-461710 ' value='1805870'   \/><label for='answer-id-1805870' id='answer-label-1805870' class=' answer'><span>A comparison of the performance of an ML system on two different input datasets.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461710[]' id='answer-id-1805871' class='answer   answerof-461710 ' value='1805871'   \/><label for='answer-id-1805871' id='answer-label-1805871' class=' answer'><span>A comparison of the performance of two different ML implementations on the same input data.<\/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-461711'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/span>In a conference on artificial intelligence (Al), a speaker made the statement, \"The current<br \/>\r\n<br \/>\r\nimplementation of Al using models which do NOT change by themselves is NOT true Al*.<br \/>\r\n<br \/>\r\nBased on your understanding of Al, is this above statement CORRECT or INCORRECT and why? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_14' value='461711' \/><input type='hidden' id='answerType461711' 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-461711[]' id='answer-id-1784300' class='answer   answerof-461711 ' value='1784300'   \/><label for='answer-id-1784300' id='answer-label-1784300' class=' answer'><span>This statement is incorrect. Current Al is true Al and there is no reason to believe that this fact will change over time.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461711[]' id='answer-id-1805866' class='answer   answerof-461711 ' value='1805866'   \/><label for='answer-id-1805866' id='answer-label-1805866' class=' answer'><span>This statement is correct. In general, what is considered Al today may change over time.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461711[]' id='answer-id-1805867' class='answer   answerof-461711 ' value='1805867'   \/><label for='answer-id-1805867' id='answer-label-1805867' class=' answer'><span>This statement is incorrect. What is considered Al today will continue to be Al even as technology evolves and changes.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461711[]' id='answer-id-1805868' class='answer   answerof-461711 ' value='1805868'   \/><label for='answer-id-1805868' id='answer-label-1805868' class=' answer'><span>This statement is correct. In general, today the term Al is utilized incorrectly.<\/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-461712'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>The stakeholders of a machine learning model have confirmed that they understand the objective and purpose of the model, and ensured that the proposed model aligns with their business priorities. They have also selected a framework and a machine learning model that they will be using. <br \/>\r<br>What should be the next step to progress along the machine learning workflow?<\/div><input type='hidden' name='question_id[]' id='qID_15' value='461712' \/><input type='hidden' id='answerType461712' 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-461712[]' id='answer-id-1784301' class='answer   answerof-461712 ' value='1784301'   \/><label for='answer-id-1784301' id='answer-label-1784301' class=' answer'><span>Prepare and pre-process the data that will be used to train and test the model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461712[]' id='answer-id-1784302' class='answer   answerof-461712 ' value='1784302'   \/><label for='answer-id-1784302' id='answer-label-1784302' class=' answer'><span>Tune the machine learning algorithm based on objectives and business priorities<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461712[]' id='answer-id-1784303' class='answer   answerof-461712 ' value='1784303'   \/><label for='answer-id-1784303' id='answer-label-1784303' class=' answer'><span>Agree on defined acceptance criteria for the machine learning model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461712[]' id='answer-id-1784304' class='answer   answerof-461712 ' value='1784304'   \/><label for='answer-id-1784304' id='answer-label-1784304' class=' answer'><span>Evaluate the selection of the framework and the model<\/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-461713'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>A local business has a mail pickup\/delivery robot for their office. The robot currently uses a track to move between pickup\/drop-off locations. When it arrives at a destination, the robot stops to allow a human to remove or deposit mail. The office has decided to upgrade the robot to include AI capabilities that allow the robot to perform its duties without a track, without running into obstacles, and without human intervention. The test team is creating a list of new and previously established test objectives and acceptance criteria to be used in the testing of the robot upgrade. <br \/>\r<br>Which of the following test objectives will test an AI quality characteristic for this system?<\/div><input type='hidden' name='question_id[]' id='qID_16' value='461713' \/><input type='hidden' id='answerType461713' 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-461713[]' id='answer-id-1784305' class='answer   answerof-461713 ' value='1784305'   \/><label for='answer-id-1784305' id='answer-label-1784305' class=' answer'><span>The robot must evolve to optimize its routing<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461713[]' id='answer-id-1784306' class='answer   answerof-461713 ' value='1784306'   \/><label for='answer-id-1784306' id='answer-label-1784306' class=' answer'><span>The robot must recharge for no more than six hours a day<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461713[]' id='answer-id-1784307' class='answer   answerof-461713 ' value='1784307'   \/><label for='answer-id-1784307' id='answer-label-1784307' class=' answer'><span>The robot must record the time of each delivery which is compiled into a report<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461713[]' id='answer-id-1784308' class='answer   answerof-461713 ' value='1784308'   \/><label for='answer-id-1784308' id='answer-label-1784308' class=' answer'><span>The robot must complete 99.99% of its deliveries each day<\/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-461714'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>Written requirements are given in text documents, which ONE of the following options is the BEST way to generate test cases from these requirements? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_17' value='461714' \/><input type='hidden' id='answerType461714' 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-461714[]' id='answer-id-1784309' class='answer   answerof-461714 ' value='1784309'   \/><label for='answer-id-1784309' id='answer-label-1784309' class=' answer'><span>Natural language processing on textual requirements<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461714[]' id='answer-id-1784310' class='answer   answerof-461714 ' value='1784310'   \/><label for='answer-id-1784310' id='answer-label-1784310' class=' answer'><span>Analyzing source code for generating test cases<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461714[]' id='answer-id-1784311' class='answer   answerof-461714 ' value='1784311'   \/><label for='answer-id-1784311' id='answer-label-1784311' class=' answer'><span>Machine learning on logs of execution<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461714[]' id='answer-id-1784312' class='answer   answerof-461714 ' value='1784312'   \/><label for='answer-id-1784312' id='answer-label-1784312' class=' answer'><span>GUI analysis by computer vision<\/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-461715'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/span>A ML engineer is trying to determine the correctness of the new open-source implementation *X\", of a supervised regression algorithm implementation. R-Square is one of the functional performance metrics used to determine the quality of the model.<br \/>\r\n<br \/>\r\nWhich ONE of the following would be an APPROPRIATE strategy to achieve this goal? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_18' value='461715' \/><input type='hidden' id='answerType461715' 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-461715[]' id='answer-id-1784313' class='answer   answerof-461715 ' value='1784313'   \/><label for='answer-id-1784313' id='answer-label-1784313' class=' answer'><span>Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461715[]' id='answer-id-1805863' class='answer   answerof-461715 ' value='1805863'   \/><label for='answer-id-1805863' id='answer-label-1805863' class=' answer'><span>Train various models by changing the order of input features and verify that the R-Square score of these models vary significantly.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461715[]' id='answer-id-1805864' class='answer   answerof-461715 ' value='1805864'   \/><label for='answer-id-1805864' id='answer-label-1805864' class=' answer'><span>Compare the R-Square score of the model obtained using two different implementations that utilize two different programming languages while using the same algorithm and the same training and testing data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461715[]' id='answer-id-1805865' class='answer   answerof-461715 ' value='1805865'   \/><label for='answer-id-1805865' id='answer-label-1805865' class=' answer'><span>Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.<\/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-461716'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>Pairwise testing can be used in the context of self-driving cars for controlling an explosion in the number of combinations of parameters. <br \/>\r<br>Which ONE of the following options is LEAST likely to be a reason for this incredible growth of parameters? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_19' value='461716' \/><input type='hidden' id='answerType461716' 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-461716[]' id='answer-id-1784314' class='answer   answerof-461716 ' value='1784314'   \/><label for='answer-id-1784314' id='answer-label-1784314' class=' answer'><span>Different Road Types<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461716[]' id='answer-id-1784315' class='answer   answerof-461716 ' value='1784315'   \/><label for='answer-id-1784315' id='answer-label-1784315' class=' answer'><span>Different weather conditions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461716[]' id='answer-id-1784316' class='answer   answerof-461716 ' value='1784316'   \/><label for='answer-id-1784316' id='answer-label-1784316' class=' answer'><span>ML model metrics to evaluate the functional performance<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461716[]' id='answer-id-1784317' class='answer   answerof-461716 ' value='1784317'   \/><label for='answer-id-1784317' id='answer-label-1784317' class=' answer'><span>Different features like ADAS, Lane Change Assistance etc.<\/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-461717'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>An engine manufacturing facility wants to apply machine learning to detect faulty bolts. <br \/>\r<br>Which of the following would result in bias in the model?<\/div><input type='hidden' name='question_id[]' id='qID_20' value='461717' \/><input type='hidden' id='answerType461717' 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-461717[]' id='answer-id-1784318' class='answer   answerof-461717 ' value='1784318'   \/><label for='answer-id-1784318' id='answer-label-1784318' class=' answer'><span>Selecting training data purposely excluding specific faulty conditions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461717[]' id='answer-id-1784319' class='answer   answerof-461717 ' value='1784319'   \/><label for='answer-id-1784319' id='answer-label-1784319' class=' answer'><span>Selecting training data by purposely including all known faulty conditions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461717[]' id='answer-id-1784320' class='answer   answerof-461717 ' value='1784320'   \/><label for='answer-id-1784320' id='answer-label-1784320' class=' answer'><span>Selecting testing data from a different dataset than the training dataset<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461717[]' id='answer-id-1784321' class='answer   answerof-461717 ' value='1784321'   \/><label for='answer-id-1784321' id='answer-label-1784321' class=' answer'><span>Selecting testing data from a boat manufacturer's bolt longevity data<\/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-461718'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/span>Which ONE of the following options represents a technology MOST TYPICALLY used to implement Al? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_21' value='461718' \/><input type='hidden' id='answerType461718' 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-461718[]' id='answer-id-1784322' class='answer   answerof-461718 ' value='1784322'   \/><label for='answer-id-1784322' id='answer-label-1784322' class=' answer'><span>Search engines<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461718[]' id='answer-id-1784323' class='answer   answerof-461718 ' value='1784323'   \/><label for='answer-id-1784323' id='answer-label-1784323' class=' answer'><span>Procedural programming<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461718[]' id='answer-id-1784324' class='answer   answerof-461718 ' value='1784324'   \/><label for='answer-id-1784324' id='answer-label-1784324' class=' answer'><span>Case control structures<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461718[]' id='answer-id-1784325' class='answer   answerof-461718 ' value='1784325'   \/><label for='answer-id-1784325' id='answer-label-1784325' class=' answer'><span>Genetic algorithms<\/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-461719'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/span>Which ONE of the following is the BEST option to optimize the regression test selection and prevent the regression suite from growing large? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_22' value='461719' \/><input type='hidden' id='answerType461719' 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-461719[]' id='answer-id-1784326' class='answer   answerof-461719 ' value='1784326'   \/><label for='answer-id-1784326' id='answer-label-1784326' class=' answer'><span>Identifying suitable tests by looking at the complexity of the test cases.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461719[]' id='answer-id-1805860' class='answer   answerof-461719 ' value='1805860'   \/><label for='answer-id-1805860' id='answer-label-1805860' class=' answer'><span>Using of a random subset of tests.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461719[]' id='answer-id-1805861' class='answer   answerof-461719 ' value='1805861'   \/><label for='answer-id-1805861' id='answer-label-1805861' class=' answer'><span>Automating test scripts using Al-based test automation tools.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461719[]' id='answer-id-1805862' class='answer   answerof-461719 ' value='1805862'   \/><label for='answer-id-1805862' id='answer-label-1805862' class=' answer'><span>Using an Al-based tool to optimize the regression test suite by analyzing past test results<\/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-461720'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/span>Which ONE of the following approaches to labelling requires the least time and effort? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_23' value='461720' \/><input type='hidden' id='answerType461720' 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-461720[]' id='answer-id-1784327' class='answer   answerof-461720 ' value='1784327'   \/><label for='answer-id-1784327' id='answer-label-1784327' class=' answer'><span>Outsourced<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461720[]' id='answer-id-1784328' class='answer   answerof-461720 ' value='1784328'   \/><label for='answer-id-1784328' id='answer-label-1784328' class=' answer'><span>Pre-labeled dataset<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461720[]' id='answer-id-1784329' class='answer   answerof-461720 ' value='1784329'   \/><label for='answer-id-1784329' id='answer-label-1784329' class=' answer'><span>Internal<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461720[]' id='answer-id-1784330' class='answer   answerof-461720 ' value='1784330'   \/><label for='answer-id-1784330' id='answer-label-1784330' class=' answer'><span>Al-Assisted<\/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-461721'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/span>Which ONE of the following options describes the LEAST LIKELY usage of Al for detection of GUI changes due to changes in test objects? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_24' value='461721' \/><input type='hidden' id='answerType461721' 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-461721[]' id='answer-id-1784331' class='answer   answerof-461721 ' value='1784331'   \/><label for='answer-id-1784331' id='answer-label-1784331' class=' answer'><span>Using a pixel comparison of the GUI before and after the change to check the differences.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461721[]' id='answer-id-1784332' class='answer   answerof-461721 ' value='1784332'   \/><label for='answer-id-1784332' id='answer-label-1784332' class=' answer'><span>Using a computer vision to compare the GUI before and after the test object changes.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461721[]' id='answer-id-1784333' class='answer   answerof-461721 ' value='1784333'   \/><label for='answer-id-1784333' id='answer-label-1784333' class=' answer'><span>Using a vision-based detection of the GUI layout changes before and after test object changes.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461721[]' id='answer-id-1784334' class='answer   answerof-461721 ' value='1784334'   \/><label for='answer-id-1784334' id='answer-label-1784334' class=' answer'><span>Using a ML-based classifier to flag if changes in GUI are to be flagged for humans.<\/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-461722'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/span>&quot;Splendid Healthcare&quot; has started developing a cancer detection system based on ML. The type of cancer they plan on detecting has 2% prevalence rate in the population of a particular geography. It is required that the model performs well for both normal and cancer patients. <br \/>\r<br>Which ONE of the following combinations requires MAXIMIZATION? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_25' value='461722' \/><input type='hidden' id='answerType461722' 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-461722[]' id='answer-id-1784335' class='answer   answerof-461722 ' value='1784335'   \/><label for='answer-id-1784335' id='answer-label-1784335' class=' answer'><span>Maximize precision and accuracy<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461722[]' id='answer-id-1784336' class='answer   answerof-461722 ' value='1784336'   \/><label for='answer-id-1784336' id='answer-label-1784336' class=' answer'><span>Maximize accuracy and recall<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461722[]' id='answer-id-1784337' class='answer   answerof-461722 ' value='1784337'   \/><label for='answer-id-1784337' id='answer-label-1784337' class=' answer'><span>Maximize recall and precision<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461722[]' id='answer-id-1784338' class='answer   answerof-461722 ' value='1784338'   \/><label for='answer-id-1784338' id='answer-label-1784338' class=' answer'><span>Maximize specificity number of classes<\/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-461723'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/span>Before deployment of an AI-based system, a developer is expected to demonstrate in a test environment how decisions are made. <br \/>\r<br>Which of the following characteristics does decision making fall under?<\/div><input type='hidden' name='question_id[]' id='qID_26' value='461723' \/><input type='hidden' id='answerType461723' 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-461723[]' id='answer-id-1784339' class='answer   answerof-461723 ' value='1784339'   \/><label for='answer-id-1784339' id='answer-label-1784339' class=' answer'><span>Explainability<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461723[]' id='answer-id-1784340' class='answer   answerof-461723 ' value='1784340'   \/><label for='answer-id-1784340' id='answer-label-1784340' class=' answer'><span>Autonomy<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461723[]' id='answer-id-1784341' class='answer   answerof-461723 ' value='1784341'   \/><label for='answer-id-1784341' id='answer-label-1784341' class=' answer'><span>Self-learning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461723[]' id='answer-id-1784342' class='answer   answerof-461723 ' value='1784342'   \/><label for='answer-id-1784342' id='answer-label-1784342' class=' answer'><span>Non-determinism<\/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-461724'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/span>\u201cBioSearch\u201d is creating an Al model used for predicting cancer occurrence via examining X-Ray <br \/>\r<br>images. The accuracy of the model in isolation has been found to be good. However, the users of the model started complaining of the poor quality of results, especially inability to detect real cancer cases, when put to practice in the diagnosis lab, leading to stopping of the usage of the model. <br \/>\r<br>A testing expert was called in to find the deficiencies in the test planning which led to the above scenario. <br \/>\r<br>Which ONE of the following options would you expect to MOST likely be the reason to be discovered by the test expert? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_27' value='461724' \/><input type='hidden' id='answerType461724' 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-461724[]' id='answer-id-1784343' class='answer   answerof-461724 ' value='1784343'   \/><label for='answer-id-1784343' id='answer-label-1784343' class=' answer'><span>A lack of similarity between the training and testing data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461724[]' id='answer-id-1784344' class='answer   answerof-461724 ' value='1784344'   \/><label for='answer-id-1784344' id='answer-label-1784344' class=' answer'><span>The input data has not been tested for quality prior to use for testing.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461724[]' id='answer-id-1784345' class='answer   answerof-461724 ' value='1784345'   \/><label for='answer-id-1784345' id='answer-label-1784345' class=' answer'><span>A lack of focus on choosing the right functional-performance metrics.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461724[]' id='answer-id-1784346' class='answer   answerof-461724 ' value='1784346'   \/><label for='answer-id-1784346' id='answer-label-1784346' class=' answer'><span>A lack of focus on non-functional requirements testing.<\/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-461725'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/span>\"AllerEgo\" is a product that uses sell-learning to predict the behavior of a pilot under combat situation for a variety of terrains and enemy aircraft formations. Post training the model was exposed to the real-world data and the model was found to be behaving poorly. A lot of data quality tests had been performed on the data to bring it into a shape fit for training and testing.<br \/>\r\n<br \/>\r\nWhich ONE of the following options is least likely to describes the possible reason for the fall in the performance, especially when considering the self-learning nature of the Al system? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_28' value='461725' \/><input type='hidden' id='answerType461725' 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-461725[]' id='answer-id-1784347' class='answer   answerof-461725 ' value='1784347'   \/><label for='answer-id-1784347' id='answer-label-1784347' class=' answer'><span>The difficulty of defining criteria for improvement before the model can be accepted.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461725[]' id='answer-id-1805857' class='answer   answerof-461725 ' value='1805857'   \/><label for='answer-id-1805857' id='answer-label-1805857' class=' answer'><span>The fast pace of change did not allow sufficient time for testing.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461725[]' id='answer-id-1805858' class='answer   answerof-461725 ' value='1805858'   \/><label for='answer-id-1805858' id='answer-label-1805858' class=' answer'><span>The unknown nature and insufficient specification of the operating environment might have caused the poor performance.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461725[]' id='answer-id-1805859' class='answer   answerof-461725 ' value='1805859'   \/><label for='answer-id-1805859' id='answer-label-1805859' class=' answer'><span>There was an algorithmic bias in the Al system.<\/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-461726'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>Max. Score: 2 <br \/>\r<br>Al-enabled medical devices are used nowadays for automating certain parts of the medical diagnostic processes. Since these are life-critical process the relevant authorities are considenng bringing about suitable certifications for these Al enabled medical devices. <br \/>\r<br>This certification may involve several facets of Al testing (I - V). <br \/>\r<br>I. Autonomy <br \/>\r<br>II. Maintainability <br \/>\r<br>III. Safety <br \/>\r<br>IV. Transparency <br \/>\r<br>V. Side Effects <br \/>\r<br>Which ONE of the following options contains the three MOST required aspects to be satisfied for the above scenario of certification of Al enabled medical devices? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_29' value='461726' \/><input type='hidden' id='answerType461726' 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-461726[]' id='answer-id-1784348' class='answer   answerof-461726 ' value='1784348'   \/><label for='answer-id-1784348' id='answer-label-1784348' class=' answer'><span>Aspects II, III and IV<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461726[]' id='answer-id-1784349' class='answer   answerof-461726 ' value='1784349'   \/><label for='answer-id-1784349' id='answer-label-1784349' class=' answer'><span>Aspects I, II, and III<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461726[]' id='answer-id-1784350' class='answer   answerof-461726 ' value='1784350'   \/><label for='answer-id-1784350' id='answer-label-1784350' class=' answer'><span>Aspects III, IV, and V<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461726[]' id='answer-id-1784351' class='answer   answerof-461726 ' value='1784351'   \/><label for='answer-id-1784351' id='answer-label-1784351' class=' answer'><span>Aspects I, IV, and V<\/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-461727'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/span>Which ONE of the following hardware is MOST suitable for implementing Al when using ML? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_30' value='461727' \/><input type='hidden' id='answerType461727' 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-461727[]' id='answer-id-1784352' class='answer   answerof-461727 ' value='1784352'   \/><label for='answer-id-1784352' id='answer-label-1784352' class=' answer'><span>64-bit CPUs.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461727[]' id='answer-id-1805854' class='answer   answerof-461727 ' value='1805854'   \/><label for='answer-id-1805854' id='answer-label-1805854' class=' answer'><span>Hardware supporting fast matrix multiplication.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461727[]' id='answer-id-1805855' class='answer   answerof-461727 ' value='1805855'   \/><label for='answer-id-1805855' id='answer-label-1805855' class=' answer'><span>High powered CPUs.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461727[]' id='answer-id-1805856' class='answer   answerof-461727 ' value='1805856'   \/><label for='answer-id-1805856' id='answer-label-1805856' class=' answer'><span>Hardware supporting high precision floating point operations.<\/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-461728'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>31. <\/span>A system was developed for screening the X-rays of patients for potential malignancy detection (skin cancer). A workflow system has been developed to screen multiple cancers by using several individually trained ML models chained together in the workflow. <br \/>\r<br>Testing the pipeline could involve multiple kind of tests (I - III): <br \/>\r<br>I. Pairwise testing of combinations <br \/>\r<br>II. Testing each individual model for accuracy <br \/>\r<br>III. A\/B testing of different sequences of models <br \/>\r<br>Which ONE of the following options contains the kinds of tests that would be MOST APPROPRIATE to include in the strategy for optimal detection? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_31' value='461728' \/><input type='hidden' id='answerType461728' 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-461728[]' id='answer-id-1784353' class='answer   answerof-461728 ' value='1784353'   \/><label for='answer-id-1784353' id='answer-label-1784353' class=' answer'><span>Only III<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461728[]' id='answer-id-1784354' class='answer   answerof-461728 ' value='1784354'   \/><label for='answer-id-1784354' id='answer-label-1784354' class=' answer'><span>I and II<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461728[]' id='answer-id-1784355' class='answer   answerof-461728 ' value='1784355'   \/><label for='answer-id-1784355' id='answer-label-1784355' class=' answer'><span>I and III<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461728[]' id='answer-id-1784356' class='answer   answerof-461728 ' value='1784356'   \/><label for='answer-id-1784356' id='answer-label-1784356' class=' answer'><span>Only II<\/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-461729'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>32. <\/span>Which ONE of the following tests is LEAST likely to be performed during the ML model testing phase? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_32' value='461729' \/><input type='hidden' id='answerType461729' 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-461729[]' id='answer-id-1784357' class='answer   answerof-461729 ' value='1784357'   \/><label for='answer-id-1784357' id='answer-label-1784357' class=' answer'><span>Testing the accuracy of the classification model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461729[]' id='answer-id-1784358' class='answer   answerof-461729 ' value='1784358'   \/><label for='answer-id-1784358' id='answer-label-1784358' class=' answer'><span>Testing the API of the service powered by the ML model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461729[]' id='answer-id-1784359' class='answer   answerof-461729 ' value='1784359'   \/><label for='answer-id-1784359' id='answer-label-1784359' class=' answer'><span>Testing the speed of the training of the model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461729[]' id='answer-id-1784360' class='answer   answerof-461729 ' value='1784360'   \/><label for='answer-id-1784360' id='answer-label-1784360' class=' answer'><span>Testing the speed of the prediction by the model.<\/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-461730'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>33. <\/span>Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_33' value='461730' \/><input type='hidden' id='answerType461730' 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-461730[]' id='answer-id-1784361' class='answer   answerof-461730 ' value='1784361'   \/><label for='answer-id-1784361' id='answer-label-1784361' class=' answer'><span>Value coverage<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461730[]' id='answer-id-1784362' class='answer   answerof-461730 ' value='1784362'   \/><label for='answer-id-1784362' id='answer-label-1784362' class=' answer'><span>Threshold coverage<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461730[]' id='answer-id-1784363' class='answer   answerof-461730 ' value='1784363'   \/><label for='answer-id-1784363' id='answer-label-1784363' class=' answer'><span>Sign change coverage<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461730[]' id='answer-id-1784364' class='answer   answerof-461730 ' value='1784364'   \/><label for='answer-id-1784364' id='answer-label-1784364' class=' answer'><span>Neuron coverage<\/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-461731'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>34. <\/span>Which ONE of the following models BEST describes a way to model defect prediction by looking at the history of bugs in modules by using code quality metrics of modules of historical versions as input? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_34' value='461731' \/><input type='hidden' id='answerType461731' 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-461731[]' id='answer-id-1784365' class='answer   answerof-461731 ' value='1784365'   \/><label for='answer-id-1784365' id='answer-label-1784365' class=' answer'><span>Identifying the relationship between developers and the modules developed by them.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461731[]' id='answer-id-1805851' class='answer   answerof-461731 ' value='1805851'   \/><label for='answer-id-1805851' id='answer-label-1805851' class=' answer'><span>Search of similar code based on natural language processing.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461731[]' id='answer-id-1805852' class='answer   answerof-461731 ' value='1805852'   \/><label for='answer-id-1805852' id='answer-label-1805852' class=' answer'><span>Clustering of similar code modules to predict based on similarity.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461731[]' id='answer-id-1805853' class='answer   answerof-461731 ' value='1805853'   \/><label for='answer-id-1805853' id='answer-label-1805853' class=' answer'><span>Using a classification model to predict the presence of a defect by using code quality metrics as the input data.<\/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-461732'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>35. <\/span>Which ONE of the following combinations of Training, Validation, Testing data is used during the process of learning\/creating the model? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_35' value='461732' \/><input type='hidden' id='answerType461732' 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-461732[]' id='answer-id-1784366' class='answer   answerof-461732 ' value='1784366'   \/><label for='answer-id-1784366' id='answer-label-1784366' class=' answer'><span>Training data - validation data - test data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461732[]' id='answer-id-1805848' class='answer   answerof-461732 ' value='1805848'   \/><label for='answer-id-1805848' id='answer-label-1805848' class=' answer'><span>Training data - validation data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461732[]' id='answer-id-1805849' class='answer   answerof-461732 ' value='1805849'   \/><label for='answer-id-1805849' id='answer-label-1805849' class=' answer'><span>Training data - test data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461732[]' id='answer-id-1805850' class='answer   answerof-461732 ' value='1805850'   \/><label for='answer-id-1805850' id='answer-label-1805850' class=' answer'><span>Validation data - test data<\/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-461733'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>36. <\/span>Which ONE of the following options is the MOST APPROPRIATE stage of the ML workflow to set model and algorithm hyperparameters? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_36' value='461733' \/><input type='hidden' id='answerType461733' 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-461733[]' id='answer-id-1784367' class='answer   answerof-461733 ' value='1784367'   \/><label for='answer-id-1784367' id='answer-label-1784367' class=' answer'><span>Evaluating the model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461733[]' id='answer-id-1784368' class='answer   answerof-461733 ' value='1784368'   \/><label for='answer-id-1784368' id='answer-label-1784368' class=' answer'><span>Deploying the model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461733[]' id='answer-id-1784369' class='answer   answerof-461733 ' value='1784369'   \/><label for='answer-id-1784369' id='answer-label-1784369' class=' answer'><span>Tuning the model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461733[]' id='answer-id-1784370' class='answer   answerof-461733 ' value='1784370'   \/><label for='answer-id-1784370' id='answer-label-1784370' class=' answer'><span>Data testing<\/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-461734'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>37. <\/span>Which of the following is THE LEAST appropriate tests to be performed for testing a feature related to autonomy? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_37' value='461734' \/><input type='hidden' id='answerType461734' 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-461734[]' id='answer-id-1784371' class='answer   answerof-461734 ' value='1784371'   \/><label for='answer-id-1784371' id='answer-label-1784371' class=' answer'><span>Test for human handover to give rest to the system.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461734[]' id='answer-id-1784372' class='answer   answerof-461734 ' value='1784372'   \/><label for='answer-id-1784372' id='answer-label-1784372' class=' answer'><span>Test for human handover when it should actually not be relinquishing control.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461734[]' id='answer-id-1784373' class='answer   answerof-461734 ' value='1784373'   \/><label for='answer-id-1784373' id='answer-label-1784373' class=' answer'><span>Test for human handover requiring mandatory relinquishing control.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461734[]' id='answer-id-1784374' class='answer   answerof-461734 ' value='1784374'   \/><label for='answer-id-1784374' id='answer-label-1784374' class=' answer'><span>Test for human handover after a given time interval.<\/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-461735'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>38. <\/span>A beer company is trying to understand how much recognition its logo has in the market. It plans to do that by monitoring images on various social media platforms using a pre-trained neural network for logo detection. This particular model has been trained by looking for words, as well as matching colors on social media images. The company logo has a big word across the middle with a bold blue and magenta border. <br \/>\r<br>Which associated risk is most likely to occur when using this pre-trained model?<\/div><input type='hidden' name='question_id[]' id='qID_38' value='461735' \/><input type='hidden' id='answerType461735' 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-461735[]' id='answer-id-1784375' class='answer   answerof-461735 ' value='1784375'   \/><label for='answer-id-1784375' id='answer-label-1784375' class=' answer'><span>There is no risk, as the model has already been trained<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461735[]' id='answer-id-1784376' class='answer   answerof-461735 ' value='1784376'   \/><label for='answer-id-1784376' id='answer-label-1784376' class=' answer'><span>Insufficient function: the model was not trained to check for colors or words<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461735[]' id='answer-id-1784377' class='answer   answerof-461735 ' value='1784377'   \/><label for='answer-id-1784377' id='answer-label-1784377' class=' answer'><span>Improper data preparation<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461735[]' id='answer-id-1784378' class='answer   answerof-461735 ' value='1784378'   \/><label for='answer-id-1784378' id='answer-label-1784378' class=' answer'><span>Inherited bias: the model could have inherited unknown defects<\/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-461736'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>39. <\/span>A company producing consumable goods wants to identify groups of people with similar tastes for the purpose of targeting different products for each group. You have to choose and apply an appropriate ML type for this problem.<br \/>\r\n<br \/>\r\nWhich ONE of the following options represents the BEST possible solution for this above-mentioned task? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_39' value='461736' \/><input type='hidden' id='answerType461736' 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-461736[]' id='answer-id-1784379' class='answer   answerof-461736 ' value='1784379'   \/><label for='answer-id-1784379' id='answer-label-1784379' class=' answer'><span>Regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461736[]' id='answer-id-1805845' class='answer   answerof-461736 ' value='1805845'   \/><label for='answer-id-1805845' id='answer-label-1805845' class=' answer'><span>Association<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461736[]' id='answer-id-1805846' class='answer   answerof-461736 ' value='1805846'   \/><label for='answer-id-1805846' id='answer-label-1805846' class=' answer'><span>Clustering<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461736[]' id='answer-id-1805847' class='answer   answerof-461736 ' value='1805847'   \/><label for='answer-id-1805847' id='answer-label-1805847' class=' answer'><span>Classification<\/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-461737'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>40. <\/span>Which ONE of the following options is an example that BEST describes a system with Al-based autonomous functions? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_40' value='461737' \/><input type='hidden' id='answerType461737' 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-461737[]' id='answer-id-1784380' class='answer   answerof-461737 ' value='1784380'   \/><label for='answer-id-1784380' id='answer-label-1784380' class=' answer'><span>A system that utilizes human beings for all important decisions.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461737[]' id='answer-id-1784381' class='answer   answerof-461737 ' value='1784381'   \/><label for='answer-id-1784381' id='answer-label-1784381' class=' answer'><span>A fully automated manufacturing plant that uses no software.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461737[]' id='answer-id-1784382' class='answer   answerof-461737 ' value='1784382'   \/><label for='answer-id-1784382' id='answer-label-1784382' class=' answer'><span>A system that utilizes a tool like Selenium.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461737[]' id='answer-id-1784383' class='answer   answerof-461737 ' value='1784383'   \/><label for='answer-id-1784383' id='answer-label-1784383' class=' answer'><span>A system that is fully able to respond to its environment.<\/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-461738'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>41. <\/span>Which of the following is an example of an input change where it would be expected that the AI system should be able to adapt?<\/div><input type='hidden' name='question_id[]' id='qID_41' value='461738' \/><input type='hidden' id='answerType461738' 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-461738[]' id='answer-id-1784384' class='answer   answerof-461738 ' value='1784384'   \/><label for='answer-id-1784384' id='answer-label-1784384' class=' answer'><span>It has been trained to recognize cats and is given an image of a dog<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461738[]' id='answer-id-1784385' class='answer   answerof-461738 ' value='1784385'   \/><label for='answer-id-1784385' id='answer-label-1784385' class=' answer'><span>It has been trained to recognize human faces at a particular resolution and it is given a human face image captured with a higher resolution<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461738[]' id='answer-id-1784386' class='answer   answerof-461738 ' value='1784386'   \/><label for='answer-id-1784386' id='answer-label-1784386' class=' answer'><span>It has been trained to analyze mathematical models and is given a set of landscape pictures to classify<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461738[]' id='answer-id-1784387' class='answer   answerof-461738 ' value='1784387'   \/><label for='answer-id-1784387' id='answer-label-1784387' class=' answer'><span>It has been trained to analyze customer buying trend data and is given information on supplier cost data<\/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-461739'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>42. <\/span>Upon testing a model used to detect rotten tomatoes, the following data was observed by the test engineer, based on certain number of tomato images. <br \/>\r<br><br><img decoding=\"async\" width=407 height=146 id=\"\u56fe\u7247 4\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2026\/03\/image001-4.jpg\"><br><br \/>\r<br>For this confusion matrix which combinations of values of accuracy, recall, and specificity respectively is CORRECT? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_42' value='461739' \/><input type='hidden' id='answerType461739' 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-461739[]' id='answer-id-1784388' class='answer   answerof-461739 ' value='1784388'   \/><label for='answer-id-1784388' id='answer-label-1784388' class=' answer'><span>0.87.0.9. 0.84<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461739[]' id='answer-id-1784389' class='answer   answerof-461739 ' value='1784389'   \/><label for='answer-id-1784389' id='answer-label-1784389' class=' answer'><span>1,0.87,0.84<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461739[]' id='answer-id-1784390' class='answer   answerof-461739 ' value='1784390'   \/><label for='answer-id-1784390' id='answer-label-1784390' class=' answer'><span>1,0.9, 0.8<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461739[]' id='answer-id-1784391' class='answer   answerof-461739 ' value='1784391'   \/><label for='answer-id-1784391' id='answer-label-1784391' class=' answer'><span>0.84.1,0.9<\/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-461740'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>43. <\/span>Which ONE of the following options BEST DESCRIBES clustering? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_43' value='461740' \/><input type='hidden' id='answerType461740' 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-461740[]' id='answer-id-1784392' class='answer   answerof-461740 ' value='1784392'   \/><label for='answer-id-1784392' id='answer-label-1784392' class=' answer'><span>Clustering is classification of a continuous quantity.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461740[]' id='answer-id-1805842' class='answer   answerof-461740 ' value='1805842'   \/><label for='answer-id-1805842' id='answer-label-1805842' class=' answer'><span>Clustering is supervised learning.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461740[]' id='answer-id-1805843' class='answer   answerof-461740 ' value='1805843'   \/><label for='answer-id-1805843' id='answer-label-1805843' class=' answer'><span>Clustering is done without prior knowledge of output classes.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461740[]' id='answer-id-1805844' class='answer   answerof-461740 ' value='1805844'   \/><label for='answer-id-1805844' id='answer-label-1805844' class=' answer'><span>Clustering requires you to know the classes.<\/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-461741'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>44. <\/span>Which ONE of the following describes a situation of back-to-back testing the LEAST? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_44' value='461741' \/><input type='hidden' id='answerType461741' 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-461741[]' id='answer-id-1784393' class='answer   answerof-461741 ' value='1784393'   \/><label for='answer-id-1784393' id='answer-label-1784393' class=' answer'><span>Comparison of the results of a current neural network model ML model implemented in A platform(for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461741[]' id='answer-id-1805839' class='answer   answerof-461741 ' value='1805839'   \/><label for='answer-id-1805839' id='answer-label-1805839' class=' answer'><span>Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461741[]' id='answer-id-1805840' class='answer   answerof-461741 ' value='1805840'   \/><label for='answer-id-1805840' id='answer-label-1805840' class=' answer'><span>Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461741[]' id='answer-id-1805841' class='answer   answerof-461741 ' value='1805841'   \/><label for='answer-id-1805841' id='answer-label-1805841' class=' answer'><span>Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.<\/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-461742'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>45. <\/span>The activation value output for a neuron in a neural network is obtained by applying computation to the neuron. <br \/>\r<br>Which ONE of the following options BEST describes the inputs used to compute the activation value? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_45' value='461742' \/><input type='hidden' id='answerType461742' 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-461742[]' id='answer-id-1784394' class='answer   answerof-461742 ' value='1784394'   \/><label for='answer-id-1784394' id='answer-label-1784394' class=' answer'><span>Individual bias at the neuron level, activation values of neurons in the previous layer, and weights assigned to the connections between the neurons.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461742[]' id='answer-id-1784395' class='answer   answerof-461742 ' value='1784395'   \/><label for='answer-id-1784395' id='answer-label-1784395' class=' answer'><span>Activation values of neurons in the previous layer, and weights assigned to the connections between the neurons.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461742[]' id='answer-id-1784396' class='answer   answerof-461742 ' value='1784396'   \/><label for='answer-id-1784396' id='answer-label-1784396' class=' answer'><span>Individual bias at the neuron level, and weights assigned to the connections between the neurons.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461742[]' id='answer-id-1784397' class='answer   answerof-461742 ' value='1784397'   \/><label for='answer-id-1784397' id='answer-label-1784397' class=' answer'><span>Individual bias at the neuron level, and activation values of neurons in the previous layer.<\/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-461743'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>46. <\/span>Data used for an object detection ML system was found to have been labelled incorrectly in many cases.<br \/>\r\n<br \/>\r\nWhich ONE of the following options is most likely the reason for this problem? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_46' value='461743' \/><input type='hidden' id='answerType461743' 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-461743[]' id='answer-id-1784398' class='answer   answerof-461743 ' value='1784398'   \/><label for='answer-id-1784398' id='answer-label-1784398' class=' answer'><span>Security issues<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461743[]' id='answer-id-1784399' class='answer   answerof-461743 ' value='1784399'   \/><label for='answer-id-1784399' id='answer-label-1784399' class=' answer'><span>Accuracy issues<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461743[]' id='answer-id-1784400' class='answer   answerof-461743 ' value='1784400'   \/><label for='answer-id-1784400' id='answer-label-1784400' class=' answer'><span>Privacy issues<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461743[]' id='answer-id-1784401' class='answer   answerof-461743 ' value='1784401'   \/><label for='answer-id-1784401' id='answer-label-1784401' class=' answer'><span>Bias issues<\/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-461744'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>47. <\/span>An image classification system is being trained for classifying faces of humans. The distribution of the data is 70% ethnicity A and 30% for ethnicities B, C and D.<br \/>\r\n<br \/>\r\nBased ONLY on the above information, which of the following options BEST describes the situation of this image classification system? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_47' value='461744' \/><input type='hidden' id='answerType461744' 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-461744[]' id='answer-id-1784402' class='answer   answerof-461744 ' value='1784402'   \/><label for='answer-id-1784402' id='answer-label-1784402' class=' answer'><span>This is an example of expert system bias.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461744[]' id='answer-id-1805836' class='answer   answerof-461744 ' value='1805836'   \/><label for='answer-id-1805836' id='answer-label-1805836' class=' answer'><span>This is an example of sample bias.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461744[]' id='answer-id-1805837' class='answer   answerof-461744 ' value='1805837'   \/><label for='answer-id-1805837' id='answer-label-1805837' class=' answer'><span>This is an example of hyperparameter bias.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461744[]' id='answer-id-1805838' class='answer   answerof-461744 ' value='1805838'   \/><label for='answer-id-1805838' id='answer-label-1805838' class=' answer'><span>This is an example of algorithmic bias.<\/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-461745'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>48. <\/span>Which ONE of the following statements correctly describes the importance of flexibility for Al systems? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_48' value='461745' \/><input type='hidden' id='answerType461745' 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-461745[]' id='answer-id-1784403' class='answer   answerof-461745 ' value='1784403'   \/><label for='answer-id-1784403' id='answer-label-1784403' class=' answer'><span>Al systems are inherently flexible.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461745[]' id='answer-id-1784404' class='answer   answerof-461745 ' value='1784404'   \/><label for='answer-id-1784404' id='answer-label-1784404' class=' answer'><span>Al systems require changing of operational environments; therefore, flexibility is required.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461745[]' id='answer-id-1784405' class='answer   answerof-461745 ' value='1784405'   \/><label for='answer-id-1784405' id='answer-label-1784405' class=' answer'><span>Flexible Al systems allow for easier modification of the system as a whole.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461745[]' id='answer-id-1784406' class='answer   answerof-461745 ' value='1784406'   \/><label for='answer-id-1784406' id='answer-label-1784406' class=' answer'><span>Self-learning systems are expected to deal with new situations without explicitly having to program for it.<\/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-461746'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>49. <\/span>Which ONE of the following statements is a CORRECT adversarial example in the context of machine learning systems that are working on image classifiers. SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_49' value='461746' \/><input type='hidden' id='answerType461746' 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-461746[]' id='answer-id-1784407' class='answer   answerof-461746 ' value='1784407'   \/><label for='answer-id-1784407' id='answer-label-1784407' class=' answer'><span>Black box attacks based on adversarial examples create an exact duplicate model of the original.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461746[]' id='answer-id-1805833' class='answer   answerof-461746 ' value='1805833'   \/><label for='answer-id-1805833' id='answer-label-1805833' class=' answer'><span>These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image. <\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461746[]' id='answer-id-1805834' class='answer   answerof-461746 ' value='1805834'   \/><label for='answer-id-1805834' id='answer-label-1805834' class=' answer'><span>These attacks can't be prevented by retraining the model with these examples augmented to the training data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461746[]' id='answer-id-1805835' class='answer   answerof-461746 ' value='1805835'   \/><label for='answer-id-1805835' id='answer-label-1805835' class=' answer'><span>These examples are model specific and are not likely to cause another model trained on same task to fail.<\/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-461747'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>50. <\/span>Arihant Meditation is a startup using Al to aid people in deeper and better meditation based on analysis of various factors such as time and duration of the meditation, pulse and blood pressure, EEG patters etc. among others. Their model accuracy and other functional performance parameters have not yet reached their desired level. <br \/>\r<br>Which ONE of the following factors is NOT a factor affecting the ML functional performance? SELECT ONE OPTION<\/div><input type='hidden' name='question_id[]' id='qID_50' value='461747' \/><input type='hidden' id='answerType461747' 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-461747[]' id='answer-id-1784408' class='answer   answerof-461747 ' value='1784408'   \/><label for='answer-id-1784408' id='answer-label-1784408' class=' answer'><span>The data pipeline<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461747[]' id='answer-id-1784409' class='answer   answerof-461747 ' value='1784409'   \/><label for='answer-id-1784409' id='answer-label-1784409' class=' answer'><span>The quality of the labeling<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461747[]' id='answer-id-1784410' class='answer   answerof-461747 ' value='1784410'   \/><label for='answer-id-1784410' id='answer-label-1784410' class=' answer'><span>Biased data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-461747[]' id='answer-id-1784411' class='answer   answerof-461747 ' value='1784411'   \/><label for='answer-id-1784411' id='answer-label-1784411' class=' answer'><span>The number of classes<\/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 loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/plugins\/watupro\/img\/loading.gif\" width=\"16\" height=\"16\" alt=\"Loading...\" title=\"Loading...\" \/>&nbsp;Loading...\t<\/div>\n<\/div>\n\n<br \/>\n\t\n\t\t\t<div class=\"watupro_buttons flex \" id=\"watuPROButtons11775\" >\n\t\t  <div id=\"prev-question\" style=\"display:none;\"><input type=\"button\" value=\"&lt; 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