{"id":64852,"date":"2023-09-30T02:17:43","date_gmt":"2023-09-30T02:17:43","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=64852"},"modified":"2023-09-30T02:17:48","modified_gmt":"2023-09-30T02:17:48","slug":"certnexus-certified-artificial-intelligence-practitioner-caip-aip-210-questions-learning-use-aip-210-dumps-to-make-preparation","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/certnexus-certified-artificial-intelligence-practitioner-caip-aip-210-questions-learning-use-aip-210-dumps-to-make-preparation.html","title":{"rendered":"CertNexus Certified Artificial Intelligence Practitioner (CAIP) AIP-210 Questions Learning &#8211; Use AIP-210 Dumps to Make Preparation"},"content":{"rendered":"\n<p>The demand for professionals with expertise in Artificial Intelligence (AI) is rapidly increasing in today&#8217;s technology-driven world. To meet this growing demand, the Certified Artificial Intelligence Practitioner\u2122 (CAIP) program has emerged as a popular training and certification option for data practitioners. It equips individuals with vendor-neutral knowledge and skills in AI concepts, enabling them to effectively select, train, and implement Machine Learning solutions. If you are aspiring to become a certified AI practitioner, we have a solution that can help you prepare for the CertNexus AIP-210 exam with ease. To alleviate your stress and enhance your preparation, we offer comprehensive CertNexus AIP-210 exam dumps. These AIP-210 dumps questions are designed to provide you with all the necessary study material and practice questions to ensure your success on the first attempt.<\/p>\n<h2>Certified Artificial Intelligence Practitioner\u2122 (CAIP) <em><span style=\"background-color: #00ff00;\">AIP-210 Free Dumps Demo<\/span><\/em><\/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=\"submittingExam7776\" 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-7776\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-7776\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-288562'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>You and your team need to process large datasets of images as fast as possible for a machine learning task. The project will also use a modular framework with extensible code and an active developer community. <br \/>\r<br>Which of the following would BEST meet your needs?<\/div><input type='hidden' name='question_id[]' id='qID_1' value='288562' \/><input type='hidden' id='answerType288562' 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-288562[]' id='answer-id-1134136' class='answer   answerof-288562 ' value='1134136'   \/><label for='answer-id-1134136' id='answer-label-1134136' class=' answer'><span>Caffe<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288562[]' id='answer-id-1134137' class='answer   answerof-288562 ' value='1134137'   \/><label for='answer-id-1134137' id='answer-label-1134137' class=' answer'><span>Keras<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288562[]' id='answer-id-1134138' class='answer   answerof-288562 ' value='1134138'   \/><label for='answer-id-1134138' id='answer-label-1134138' class=' answer'><span>Microsoft Cognitive Services<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288562[]' id='answer-id-1134139' class='answer   answerof-288562 ' value='1134139'   \/><label for='answer-id-1134139' id='answer-label-1134139' class=' answer'><span>TensorBoard<\/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-288563'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>Which of the following principles supports building an ML system with a Privacy by Design methodology?<\/div><input type='hidden' name='question_id[]' id='qID_2' value='288563' \/><input type='hidden' id='answerType288563' 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-288563[]' id='answer-id-1134140' class='answer   answerof-288563 ' value='1134140'   \/><label for='answer-id-1134140' id='answer-label-1134140' class=' answer'><span>Avoiding mechanisms to explain and justify automated decisions.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288563[]' id='answer-id-1134141' class='answer   answerof-288563 ' value='1134141'   \/><label for='answer-id-1134141' id='answer-label-1134141' class=' answer'><span>Collecting and processing the largest amount of data possible.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288563[]' id='answer-id-1134142' class='answer   answerof-288563 ' value='1134142'   \/><label for='answer-id-1134142' id='answer-label-1134142' class=' answer'><span>Understanding, documenting, and displaying data lineage.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288563[]' id='answer-id-1134143' class='answer   answerof-288563 ' value='1134143'   \/><label for='answer-id-1134143' id='answer-label-1134143' class=' answer'><span>Utilizing quasi-identifiers and non-unique identifiers, alone or in combination.<\/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-288564'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>A data scientist is tasked to extract business intelligence from primary data captured from the public. <br \/>\r<br>Which of the following is the most important aspect that the scientist cannot forget to include?<\/div><input type='hidden' name='question_id[]' id='qID_3' value='288564' \/><input type='hidden' id='answerType288564' 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-288564[]' id='answer-id-1134144' class='answer   answerof-288564 ' value='1134144'   \/><label for='answer-id-1134144' id='answer-label-1134144' class=' answer'><span>Cyberprotection<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288564[]' id='answer-id-1134145' class='answer   answerof-288564 ' value='1134145'   \/><label for='answer-id-1134145' id='answer-label-1134145' class=' answer'><span>Cybersecurity<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288564[]' id='answer-id-1134146' class='answer   answerof-288564 ' value='1134146'   \/><label for='answer-id-1134146' id='answer-label-1134146' class=' answer'><span>Data privacy<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288564[]' id='answer-id-1134147' class='answer   answerof-288564 ' value='1134147'   \/><label for='answer-id-1134147' id='answer-label-1134147' class=' answer'><span>Data security<\/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-288565'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>For a particular classification problem, you are tasked with determining the best algorithm among SVM, random forest, K-nearest neighbors, and a deep neural network. Each of the algorithms has similar accuracy on your data. The stakeholders indicate that they need a model that can convey each feature's relative contribution to the model's accuracy. <br \/>\r<br>Which is the best algorithm for this use case?<\/div><input type='hidden' name='question_id[]' id='qID_4' value='288565' \/><input type='hidden' id='answerType288565' 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-288565[]' id='answer-id-1134148' class='answer   answerof-288565 ' value='1134148'   \/><label for='answer-id-1134148' id='answer-label-1134148' class=' answer'><span>Deep neural network<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288565[]' id='answer-id-1134149' class='answer   answerof-288565 ' value='1134149'   \/><label for='answer-id-1134149' id='answer-label-1134149' class=' answer'><span>K-nearest neighbors<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288565[]' id='answer-id-1134150' class='answer   answerof-288565 ' value='1134150'   \/><label for='answer-id-1134150' id='answer-label-1134150' class=' answer'><span>Random forest<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288565[]' id='answer-id-1134151' class='answer   answerof-288565 ' value='1134151'   \/><label for='answer-id-1134151' id='answer-label-1134151' class=' answer'><span>SVM<\/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-288566'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>A dataset can contain a range of values that depict a certain characteristic, such as grades on tests in a class during the semester. A specific student has so far received the following grades: 76,81, 78, 87, 75, and 72. There is one final test in the semester. <br \/>\r<br>What minimum grade would the student need to achieve on the last test to get an 80% average?<\/div><input type='hidden' name='question_id[]' id='qID_5' value='288566' \/><input type='hidden' id='answerType288566' 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-288566[]' id='answer-id-1134152' class='answer   answerof-288566 ' value='1134152'   \/><label for='answer-id-1134152' id='answer-label-1134152' class=' answer'><span>82<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288566[]' id='answer-id-1134153' class='answer   answerof-288566 ' value='1134153'   \/><label for='answer-id-1134153' id='answer-label-1134153' class=' answer'><span>89<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288566[]' id='answer-id-1134154' class='answer   answerof-288566 ' value='1134154'   \/><label for='answer-id-1134154' id='answer-label-1134154' class=' answer'><span>91<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288566[]' id='answer-id-1134155' class='answer   answerof-288566 ' value='1134155'   \/><label for='answer-id-1134155' id='answer-label-1134155' class=' answer'><span>94<\/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-288567'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>Which three security measures could be applied in different ML workflow stages to defend them against malicious activities? (Select three.)<\/div><input type='hidden' name='question_id[]' id='qID_6' value='288567' \/><input type='hidden' id='answerType288567' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288567[]' id='answer-id-1134156' class='answer   answerof-288567 ' value='1134156'   \/><label for='answer-id-1134156' id='answer-label-1134156' class=' answer'><span>Disable logging for model access.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288567[]' id='answer-id-1134157' class='answer   answerof-288567 ' value='1134157'   \/><label for='answer-id-1134157' id='answer-label-1134157' class=' answer'><span>Launch ML Instances In a virtual private cloud (VPC).<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288567[]' id='answer-id-1134158' class='answer   answerof-288567 ' value='1134158'   \/><label for='answer-id-1134158' id='answer-label-1134158' class=' answer'><span>Monitor model degradation.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288567[]' id='answer-id-1134159' class='answer   answerof-288567 ' value='1134159'   \/><label for='answer-id-1134159' id='answer-label-1134159' class=' answer'><span>Use data encryption.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288567[]' id='answer-id-1134160' class='answer   answerof-288567 ' value='1134160'   \/><label for='answer-id-1134160' id='answer-label-1134160' class=' answer'><span>Use max privilege to control access to ML artifacts.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288567[]' id='answer-id-1134161' class='answer   answerof-288567 ' value='1134161'   \/><label for='answer-id-1134161' id='answer-label-1134161' class=' answer'><span>Use Secrets Manager to protect credentials.<\/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-288568'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/span>A healthcare company experiences a cyberattack, where the hackers were able to reverse-engineer a dataset to break confidentiality. <br \/>\r<br>Which of the following is TRUE regarding the dataset parameters?<\/div><input type='hidden' name='question_id[]' id='qID_7' value='288568' \/><input type='hidden' id='answerType288568' 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-288568[]' id='answer-id-1134162' class='answer   answerof-288568 ' value='1134162'   \/><label for='answer-id-1134162' id='answer-label-1134162' class=' answer'><span>The model is overfitted and trained on a high quantity of patient records.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288568[]' id='answer-id-1134163' class='answer   answerof-288568 ' value='1134163'   \/><label for='answer-id-1134163' id='answer-label-1134163' class=' answer'><span>The model is overfitted and trained on a low quantity of patient records.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288568[]' id='answer-id-1134164' class='answer   answerof-288568 ' value='1134164'   \/><label for='answer-id-1134164' id='answer-label-1134164' class=' answer'><span>The model is underfitted and trained on a high quantity of patient records.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288568[]' id='answer-id-1134165' class='answer   answerof-288568 ' value='1134165'   \/><label for='answer-id-1134165' id='answer-label-1134165' class=' answer'><span>The model is underfitted and trained on a low quantity of patient records.<\/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-288569'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>When working with textual data and trying to classify text into different languages, which approach to representing features makes the most sense?<\/div><input type='hidden' name='question_id[]' id='qID_8' value='288569' \/><input type='hidden' id='answerType288569' 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-288569[]' id='answer-id-1134166' class='answer   answerof-288569 ' value='1134166'   \/><label for='answer-id-1134166' id='answer-label-1134166' class=' answer'><span>Bag of words model with TF-IDF<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288569[]' id='answer-id-1134167' class='answer   answerof-288569 ' value='1134167'   \/><label for='answer-id-1134167' id='answer-label-1134167' class=' answer'><span>Bag of bigrams (2 letter pairs)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288569[]' id='answer-id-1134168' class='answer   answerof-288569 ' value='1134168'   \/><label for='answer-id-1134168' id='answer-label-1134168' class=' answer'><span>Word2Vec algorithm<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288569[]' id='answer-id-1134169' class='answer   answerof-288569 ' value='1134169'   \/><label for='answer-id-1134169' id='answer-label-1134169' class=' answer'><span>Clustering similar words and representing words by group membership<\/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-288570'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>Which of the following options is a correct approach for scheduling model retraining in a weather prediction application?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='288570' \/><input type='hidden' id='answerType288570' 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-288570[]' id='answer-id-1134170' class='answer   answerof-288570 ' value='1134170'   \/><label for='answer-id-1134170' id='answer-label-1134170' class=' answer'><span>As new resources become available<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288570[]' id='answer-id-1134171' class='answer   answerof-288570 ' value='1134171'   \/><label for='answer-id-1134171' id='answer-label-1134171' class=' answer'><span>Once a month<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288570[]' id='answer-id-1134172' class='answer   answerof-288570 ' value='1134172'   \/><label for='answer-id-1134172' id='answer-label-1134172' class=' answer'><span>When the input format changes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288570[]' id='answer-id-1134173' class='answer   answerof-288570 ' value='1134173'   \/><label for='answer-id-1134173' id='answer-label-1134173' class=' answer'><span>When the input volume changes<\/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-288571'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/span>Which of the following tools would you use to create a natural language processing application?<\/div><input type='hidden' name='question_id[]' id='qID_10' value='288571' \/><input type='hidden' id='answerType288571' 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-288571[]' id='answer-id-1134174' class='answer   answerof-288571 ' value='1134174'   \/><label for='answer-id-1134174' id='answer-label-1134174' class=' answer'><span>AWS DeepRacer<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288571[]' id='answer-id-1134175' class='answer   answerof-288571 ' value='1134175'   \/><label for='answer-id-1134175' id='answer-label-1134175' class=' answer'><span>Azure Search<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288571[]' id='answer-id-1134176' class='answer   answerof-288571 ' value='1134176'   \/><label for='answer-id-1134176' id='answer-label-1134176' class=' answer'><span>DeepDream<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288571[]' id='answer-id-1134177' class='answer   answerof-288571 ' value='1134177'   \/><label for='answer-id-1134177' id='answer-label-1134177' class=' answer'><span>NLTK<\/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-288572'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/span>A classifier has been implemented to predict whether or not someone has a specific type of disease. <br \/>\r<br>Considering that only 1% of the population in the dataset has this disease, which measures will work the BEST to evaluate this model?<\/div><input type='hidden' name='question_id[]' id='qID_11' value='288572' \/><input type='hidden' id='answerType288572' 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-288572[]' id='answer-id-1134178' class='answer   answerof-288572 ' value='1134178'   \/><label for='answer-id-1134178' id='answer-label-1134178' class=' answer'><span>Mean squared error<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288572[]' id='answer-id-1134179' class='answer   answerof-288572 ' value='1134179'   \/><label for='answer-id-1134179' id='answer-label-1134179' class=' answer'><span>Precision and accuracy<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288572[]' id='answer-id-1134180' class='answer   answerof-288572 ' value='1134180'   \/><label for='answer-id-1134180' id='answer-label-1134180' class=' answer'><span>Precision and recall<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288572[]' id='answer-id-1134181' class='answer   answerof-288572 ' value='1134181'   \/><label for='answer-id-1134181' id='answer-label-1134181' class=' answer'><span>Recall and explained variance<\/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-288573'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/span>Which of the following describes a typical use case of video tracking?<\/div><input type='hidden' name='question_id[]' id='qID_12' value='288573' \/><input type='hidden' id='answerType288573' 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-288573[]' id='answer-id-1134182' class='answer   answerof-288573 ' value='1134182'   \/><label for='answer-id-1134182' id='answer-label-1134182' class=' answer'><span>Augmented dreaming<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288573[]' id='answer-id-1134183' class='answer   answerof-288573 ' value='1134183'   \/><label for='answer-id-1134183' id='answer-label-1134183' class=' answer'><span>Medical diagnosis<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288573[]' id='answer-id-1134184' class='answer   answerof-288573 ' value='1134184'   \/><label for='answer-id-1134184' id='answer-label-1134184' class=' answer'><span>Traffic monitoring<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288573[]' id='answer-id-1134185' class='answer   answerof-288573 ' value='1134185'   \/><label for='answer-id-1134185' id='answer-label-1134185' class=' answer'><span>Video composition<\/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-288574'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/span>You are developing a prediction model. Your team indicates they need an algorithm that is fast and requires low memory and low processing power. <br \/>\r<br>Assuming the following algorithms have similar accuracy on your data, which is most likely to be an ideal choice for the job?<\/div><input type='hidden' name='question_id[]' id='qID_13' value='288574' \/><input type='hidden' id='answerType288574' 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-288574[]' id='answer-id-1134186' class='answer   answerof-288574 ' value='1134186'   \/><label for='answer-id-1134186' id='answer-label-1134186' class=' answer'><span>Deep learning neural network<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288574[]' id='answer-id-1134187' class='answer   answerof-288574 ' value='1134187'   \/><label for='answer-id-1134187' id='answer-label-1134187' class=' answer'><span>Random forest<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288574[]' id='answer-id-1134188' class='answer   answerof-288574 ' value='1134188'   \/><label for='answer-id-1134188' id='answer-label-1134188' class=' answer'><span>Ridge regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288574[]' id='answer-id-1134189' class='answer   answerof-288574 ' value='1134189'   \/><label for='answer-id-1134189' id='answer-label-1134189' class=' answer'><span>Support-vector machine<\/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-288575'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/span>For each of the last 10 years, your team has been collecting data from a group of subjects, including their age and numerous biomarkers collected from blood samples. You are tasked with creating a prediction model of age using the biomarkers as input. You start by performing a linear regression using all of the data over the 10-year period, with age as the dependent variable and the biomarkers as predictors. <br \/>\r<br>Which assumption of linear regression is being violated?<\/div><input type='hidden' name='question_id[]' id='qID_14' value='288575' \/><input type='hidden' id='answerType288575' 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-288575[]' id='answer-id-1134190' class='answer   answerof-288575 ' value='1134190'   \/><label for='answer-id-1134190' id='answer-label-1134190' class=' answer'><span>Equality of variance (Homoscedastidty)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288575[]' id='answer-id-1134191' class='answer   answerof-288575 ' value='1134191'   \/><label for='answer-id-1134191' id='answer-label-1134191' class=' answer'><span>Independence<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288575[]' id='answer-id-1134192' class='answer   answerof-288575 ' value='1134192'   \/><label for='answer-id-1134192' id='answer-label-1134192' class=' answer'><span>Linearity<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288575[]' id='answer-id-1134193' class='answer   answerof-288575 ' value='1134193'   \/><label for='answer-id-1134193' id='answer-label-1134193' class=' answer'><span>Normality<\/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-288576'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>When should you use semi-supervised learning? (Select two.)<\/div><input type='hidden' name='question_id[]' id='qID_15' value='288576' \/><input type='hidden' id='answerType288576' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288576[]' id='answer-id-1134194' class='answer   answerof-288576 ' value='1134194'   \/><label for='answer-id-1134194' id='answer-label-1134194' class=' answer'><span>A small set of labeled data is available but not representative of the entire distribution.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288576[]' id='answer-id-1134195' class='answer   answerof-288576 ' value='1134195'   \/><label for='answer-id-1134195' id='answer-label-1134195' class=' answer'><span>A small set of labeled data is biased toward one class.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288576[]' id='answer-id-1134196' class='answer   answerof-288576 ' value='1134196'   \/><label for='answer-id-1134196' id='answer-label-1134196' class=' answer'><span>Labeling data is challenging and expensive.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288576[]' id='answer-id-1134197' class='answer   answerof-288576 ' value='1134197'   \/><label for='answer-id-1134197' id='answer-label-1134197' class=' answer'><span>There is a large amount of labeled data to be used for predictions.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288576[]' id='answer-id-1134198' class='answer   answerof-288576 ' value='1134198'   \/><label for='answer-id-1134198' id='answer-label-1134198' class=' answer'><span>There is a large amount of unlabeled data to be used for predictions.<\/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-288577'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>Which of the following can benefit from deploying a deep learning model as an embedded model on edge devices?<\/div><input type='hidden' name='question_id[]' id='qID_16' value='288577' \/><input type='hidden' id='answerType288577' 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-288577[]' id='answer-id-1134199' class='answer   answerof-288577 ' value='1134199'   \/><label for='answer-id-1134199' id='answer-label-1134199' class=' answer'><span>A more complex model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288577[]' id='answer-id-1134200' class='answer   answerof-288577 ' value='1134200'   \/><label for='answer-id-1134200' id='answer-label-1134200' class=' answer'><span>Guaranteed availability of enough space<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288577[]' id='answer-id-1134201' class='answer   answerof-288577 ' value='1134201'   \/><label for='answer-id-1134201' id='answer-label-1134201' class=' answer'><span>Increase in data bandwidth consumption<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288577[]' id='answer-id-1134202' class='answer   answerof-288577 ' value='1134202'   \/><label for='answer-id-1134202' id='answer-label-1134202' class=' answer'><span>Reduction in latency<\/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-288578'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>Which of the following is the definition of accuracy?<\/div><input type='hidden' name='question_id[]' id='qID_17' value='288578' \/><input type='hidden' id='answerType288578' 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-288578[]' id='answer-id-1134203' class='answer   answerof-288578 ' value='1134203'   \/><label for='answer-id-1134203' id='answer-label-1134203' class=' answer'><span>(True Positives + False Positives) \/ Total Predictions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288578[]' id='answer-id-1134204' class='answer   answerof-288578 ' value='1134204'   \/><label for='answer-id-1134204' id='answer-label-1134204' class=' answer'><span>(True Positives + True Negatives) \/ Total Predictions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288578[]' id='answer-id-1134205' class='answer   answerof-288578 ' value='1134205'   \/><label for='answer-id-1134205' id='answer-label-1134205' class=' answer'><span>True Positives \/ (True Positives + False Negatives)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288578[]' id='answer-id-1134206' class='answer   answerof-288578 ' value='1134206'   \/><label for='answer-id-1134206' id='answer-label-1134206' class=' answer'><span>True Positives \/ (True Positives + False Positives)<\/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-288579'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/span>Personal data should not be disclosed, made available, or otherwise used for purposes other than specified with which of the following exceptions? (Select two.)<\/div><input type='hidden' name='question_id[]' id='qID_18' value='288579' \/><input type='hidden' id='answerType288579' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288579[]' id='answer-id-1134207' class='answer   answerof-288579 ' value='1134207'   \/><label for='answer-id-1134207' id='answer-label-1134207' class=' answer'><span>If it is for a good cause.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288579[]' id='answer-id-1134208' class='answer   answerof-288579 ' value='1134208'   \/><label for='answer-id-1134208' id='answer-label-1134208' class=' answer'><span>If it was collected accidentally.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288579[]' id='answer-id-1134209' class='answer   answerof-288579 ' value='1134209'   \/><label for='answer-id-1134209' id='answer-label-1134209' class=' answer'><span>If it was requested by the authority of law.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288579[]' id='answer-id-1134210' class='answer   answerof-288579 ' value='1134210'   \/><label for='answer-id-1134210' id='answer-label-1134210' class=' answer'><span>If it was with consent of the person it is collected from.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288579[]' id='answer-id-1134211' class='answer   answerof-288579 ' value='1134211'   \/><label for='answer-id-1134211' id='answer-label-1134211' class=' answer'><span>If the data is only collected once.<\/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-288580'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>Which of the following sentences is TRUE about the definition of cloud models for machine learning pipelines?<\/div><input type='hidden' name='question_id[]' id='qID_19' value='288580' \/><input type='hidden' id='answerType288580' 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-288580[]' id='answer-id-1134212' class='answer   answerof-288580 ' value='1134212'   \/><label for='answer-id-1134212' id='answer-label-1134212' class=' answer'><span>Data as a Service (DaaS) can host the databases providing backups, clustering, and high availability.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288580[]' id='answer-id-1134213' class='answer   answerof-288580 ' value='1134213'   \/><label for='answer-id-1134213' id='answer-label-1134213' class=' answer'><span>Infrastructure as a Service (IaaS) can provide CPU, memory, disk, network and GP<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288580[]' id='answer-id-1134214' class='answer   answerof-288580 ' value='1134214'   \/><label for='answer-id-1134214' id='answer-label-1134214' class=' answer'><span>Platform as a Service (PaaS) can provide some services within an application such as payment applications to create efficient results.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288580[]' id='answer-id-1134215' class='answer   answerof-288580 ' value='1134215'   \/><label for='answer-id-1134215' id='answer-label-1134215' class=' answer'><span>Software as a Service (SaaS) can provide AI practitioner data science services such as Jupyter notebooks.<\/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-288581'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>In a self-driving car company, ML engineers want to develop a model for dynamic pathing. <br \/>\r<br>Which of following approaches would be optimal for this task?<\/div><input type='hidden' name='question_id[]' id='qID_20' value='288581' \/><input type='hidden' id='answerType288581' 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-288581[]' id='answer-id-1134216' class='answer   answerof-288581 ' value='1134216'   \/><label for='answer-id-1134216' id='answer-label-1134216' class=' answer'><span>Dijkstra Algorithm<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288581[]' id='answer-id-1134217' class='answer   answerof-288581 ' value='1134217'   \/><label for='answer-id-1134217' id='answer-label-1134217' class=' answer'><span>Reinforcement learning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288581[]' id='answer-id-1134218' class='answer   answerof-288581 ' value='1134218'   \/><label for='answer-id-1134218' id='answer-label-1134218' class=' answer'><span>Supervised Learning.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288581[]' id='answer-id-1134219' class='answer   answerof-288581 ' value='1134219'   \/><label for='answer-id-1134219' id='answer-label-1134219' class=' answer'><span>Unsupervised Learning<\/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-288582'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/span>R-squared is a statistical measure that:<\/div><input type='hidden' name='question_id[]' id='qID_21' value='288582' \/><input type='hidden' id='answerType288582' 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-288582[]' id='answer-id-1134220' class='answer   answerof-288582 ' value='1134220'   \/><label for='answer-id-1134220' id='answer-label-1134220' class=' answer'><span>Combines precision and recall of a classifier into a single metric by taking their harmonic mean.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288582[]' id='answer-id-1134221' class='answer   answerof-288582 ' value='1134221'   \/><label for='answer-id-1134221' id='answer-label-1134221' class=' answer'><span>Expresses the extent to which two variables are linearly related.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288582[]' id='answer-id-1134222' class='answer   answerof-288582 ' value='1134222'   \/><label for='answer-id-1134222' id='answer-label-1134222' class=' answer'><span>Is the proportion of the variance for a dependent variable thaf\u2019 s explained by independent variables.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288582[]' id='answer-id-1134223' class='answer   answerof-288582 ' value='1134223'   \/><label for='answer-id-1134223' id='answer-label-1134223' class=' answer'><span>Represents the extent to which two random variables vary together.<\/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-288583'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/span>Which of the following equations best represent an LI norm?<\/div><input type='hidden' name='question_id[]' id='qID_22' value='288583' \/><input type='hidden' id='answerType288583' 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-288583[]' id='answer-id-1134224' class='answer   answerof-288583 ' value='1134224'   \/><label for='answer-id-1134224' id='answer-label-1134224' class=' answer'><span>|x| + |y|<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288583[]' id='answer-id-1134225' class='answer   answerof-288583 ' value='1134225'   \/><label for='answer-id-1134225' id='answer-label-1134225' class=' answer'><span>|x|+|y|^2<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288583[]' id='answer-id-1134226' class='answer   answerof-288583 ' value='1134226'   \/><label for='answer-id-1134226' id='answer-label-1134226' class=' answer'><span>|x|-|y|<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288583[]' id='answer-id-1134227' class='answer   answerof-288583 ' value='1134227'   \/><label for='answer-id-1134227' id='answer-label-1134227' class=' answer'><span>|x|^2+|y|^2<\/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-288584'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/span>Which of the following statements are true regarding highly interpretable models? (Select two.)<\/div><input type='hidden' name='question_id[]' id='qID_23' value='288584' \/><input type='hidden' id='answerType288584' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288584[]' id='answer-id-1134228' class='answer   answerof-288584 ' value='1134228'   \/><label for='answer-id-1134228' id='answer-label-1134228' class=' answer'><span>They are usually binary classifiers.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288584[]' id='answer-id-1134229' class='answer   answerof-288584 ' value='1134229'   \/><label for='answer-id-1134229' id='answer-label-1134229' class=' answer'><span>They are usually easier to explain to business stakeholders.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288584[]' id='answer-id-1134230' class='answer   answerof-288584 ' value='1134230'   \/><label for='answer-id-1134230' id='answer-label-1134230' class=' answer'><span>They are usually referred to as &quot;black box&quot; models.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288584[]' id='answer-id-1134231' class='answer   answerof-288584 ' value='1134231'   \/><label for='answer-id-1134231' id='answer-label-1134231' class=' answer'><span>They are usually very good at solving non-linear problems.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288584[]' id='answer-id-1134232' class='answer   answerof-288584 ' value='1134232'   \/><label for='answer-id-1134232' id='answer-label-1134232' class=' answer'><span>They usually compromise on model accuracy for the sake of interpretability.<\/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-288585'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/span>Which two of the following decrease technical debt in ML systems? (Select two.)<\/div><input type='hidden' name='question_id[]' id='qID_24' value='288585' \/><input type='hidden' id='answerType288585' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288585[]' id='answer-id-1134233' class='answer   answerof-288585 ' value='1134233'   \/><label for='answer-id-1134233' id='answer-label-1134233' class=' answer'><span>Boundary erosion<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288585[]' id='answer-id-1134234' class='answer   answerof-288585 ' value='1134234'   \/><label for='answer-id-1134234' id='answer-label-1134234' class=' answer'><span>Design anti-patterns<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288585[]' id='answer-id-1134235' class='answer   answerof-288585 ' value='1134235'   \/><label for='answer-id-1134235' id='answer-label-1134235' class=' answer'><span>Documentation readability<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288585[]' id='answer-id-1134236' class='answer   answerof-288585 ' value='1134236'   \/><label for='answer-id-1134236' id='answer-label-1134236' class=' answer'><span>Model complexity<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-288585[]' id='answer-id-1134237' class='answer   answerof-288585 ' value='1134237'   \/><label for='answer-id-1134237' id='answer-label-1134237' class=' answer'><span>Refactoring<\/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-288586'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/span>Which of the following describes a neural network without an activation function?<\/div><input type='hidden' name='question_id[]' id='qID_25' value='288586' \/><input type='hidden' id='answerType288586' 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-288586[]' id='answer-id-1134238' class='answer   answerof-288586 ' value='1134238'   \/><label for='answer-id-1134238' id='answer-label-1134238' class=' answer'><span>A form of a linear regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288586[]' id='answer-id-1134239' class='answer   answerof-288586 ' value='1134239'   \/><label for='answer-id-1134239' id='answer-label-1134239' class=' answer'><span>A form of a quantile regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288586[]' id='answer-id-1134240' class='answer   answerof-288586 ' value='1134240'   \/><label for='answer-id-1134240' id='answer-label-1134240' class=' answer'><span>An unsupervised learning technique<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288586[]' id='answer-id-1134241' class='answer   answerof-288586 ' value='1134241'   \/><label for='answer-id-1134241' id='answer-label-1134241' class=' answer'><span>A radial basis function kernel<\/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-288587'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/span>The following confusion matrix is produced when a classifier is used to predict labels on a test dataset. <br \/>\r<br>How precise is the classifier? <br \/>\r<br><br><img decoding=\"async\" width=382 height=173 id=\"\u56fe\u7247 4\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2023\/09\/image001-30.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_26' value='288587' \/><input type='hidden' id='answerType288587' 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-288587[]' id='answer-id-1134242' class='answer   answerof-288587 ' value='1134242'   \/><label for='answer-id-1134242' id='answer-label-1134242' class=' answer'><span>48\/(48+37)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288587[]' id='answer-id-1134243' class='answer   answerof-288587 ' value='1134243'   \/><label for='answer-id-1134243' id='answer-label-1134243' class=' answer'><span>37\/(37+8)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288587[]' id='answer-id-1134244' class='answer   answerof-288587 ' value='1134244'   \/><label for='answer-id-1134244' id='answer-label-1134244' class=' answer'><span>37\/(37+7)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288587[]' id='answer-id-1134245' class='answer   answerof-288587 ' value='1134245'   \/><label for='answer-id-1134245' id='answer-label-1134245' class=' answer'><span>(48+37)\/100<\/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-288588'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/span>Given a feature set with rows that contain missing continuous values, and assuming the data is normally distributed, what is the best way to fill in these missing features?<\/div><input type='hidden' name='question_id[]' id='qID_27' value='288588' \/><input type='hidden' id='answerType288588' 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-288588[]' id='answer-id-1134246' class='answer   answerof-288588 ' value='1134246'   \/><label for='answer-id-1134246' id='answer-label-1134246' class=' answer'><span>Delete entire rows that contain any missing features.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288588[]' id='answer-id-1134247' class='answer   answerof-288588 ' value='1134247'   \/><label for='answer-id-1134247' id='answer-label-1134247' class=' answer'><span>Fill in missing features with random values for that feature in the training set.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288588[]' id='answer-id-1134248' class='answer   answerof-288588 ' value='1134248'   \/><label for='answer-id-1134248' id='answer-label-1134248' class=' answer'><span>Fill in missing features with the average of observed values for that feature in the entire dataset.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288588[]' id='answer-id-1134249' class='answer   answerof-288588 ' value='1134249'   \/><label for='answer-id-1134249' id='answer-label-1134249' class=' answer'><span>Delete entire columns that contain any missing features.<\/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-288589'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/span>In addition to understanding model performance, what does continuous monitoring of bias and variance help ML engineers to do?<\/div><input type='hidden' name='question_id[]' id='qID_28' value='288589' \/><input type='hidden' id='answerType288589' 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-288589[]' id='answer-id-1134250' class='answer   answerof-288589 ' value='1134250'   \/><label for='answer-id-1134250' id='answer-label-1134250' class=' answer'><span>Detect hidden attacks<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288589[]' id='answer-id-1134251' class='answer   answerof-288589 ' value='1134251'   \/><label for='answer-id-1134251' id='answer-label-1134251' class=' answer'><span>Prevent hidden attacks<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288589[]' id='answer-id-1134252' class='answer   answerof-288589 ' value='1134252'   \/><label for='answer-id-1134252' id='answer-label-1134252' class=' answer'><span>Recover from hidden attacks<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288589[]' id='answer-id-1134253' class='answer   answerof-288589 ' value='1134253'   \/><label for='answer-id-1134253' id='answer-label-1134253' class=' answer'><span>Respond to hidden attacks<\/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-288590'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>A company is developing a merchandise sales application The product team uses training data to teach the AI model predicting sales, and discovers emergent bias. <br \/>\r<br>What caused the biased results?<\/div><input type='hidden' name='question_id[]' id='qID_29' value='288590' \/><input type='hidden' id='answerType288590' 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-288590[]' id='answer-id-1134254' class='answer   answerof-288590 ' value='1134254'   \/><label for='answer-id-1134254' id='answer-label-1134254' class=' answer'><span>The AI model was trained in winter and applied in summer.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288590[]' id='answer-id-1134255' class='answer   answerof-288590 ' value='1134255'   \/><label for='answer-id-1134255' id='answer-label-1134255' class=' answer'><span>The application was migrated from on-premise to a public cloud.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288590[]' id='answer-id-1134256' class='answer   answerof-288590 ' value='1134256'   \/><label for='answer-id-1134256' id='answer-label-1134256' class=' answer'><span>The team set flawed expectations when training the model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288590[]' id='answer-id-1134257' class='answer   answerof-288590 ' value='1134257'   \/><label for='answer-id-1134257' id='answer-label-1134257' class=' answer'><span>The training data used was inaccurate.<\/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-288591'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/span>You train a neural network model with two layers, each layer having four nodes, and realize that the model is underfit. <br \/>\r<br>Which of the actions below will NOT work to fix this underfitting?<\/div><input type='hidden' name='question_id[]' id='qID_30' value='288591' \/><input type='hidden' id='answerType288591' 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-288591[]' id='answer-id-1134258' class='answer   answerof-288591 ' value='1134258'   \/><label for='answer-id-1134258' id='answer-label-1134258' class=' answer'><span>Add features to training data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288591[]' id='answer-id-1134259' class='answer   answerof-288591 ' value='1134259'   \/><label for='answer-id-1134259' id='answer-label-1134259' class=' answer'><span>Get more training data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288591[]' id='answer-id-1134260' class='answer   answerof-288591 ' value='1134260'   \/><label for='answer-id-1134260' id='answer-label-1134260' class=' answer'><span>Increase the complexity of the model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-288591[]' id='answer-id-1134261' class='answer   answerof-288591 ' value='1134261'   \/><label for='answer-id-1134261' id='answer-label-1134261' class=' answer'><span>Train the model for more epochs<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div style='display:none' id='question-31'>\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=\"watuPROButtons7776\" >\n\t\t  <div id=\"prev-question\" style=\"display:none;\"><input 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288568:1134162,1134163,1134164,1134165 | 288569:1134166,1134167,1134168,1134169 | 288570:1134170,1134171,1134172,1134173 | 288571:1134174,1134175,1134176,1134177 | 288572:1134178,1134179,1134180,1134181 | 288573:1134182,1134183,1134184,1134185 | 288574:1134186,1134187,1134188,1134189 | 288575:1134190,1134191,1134192,1134193 | 288576:1134194,1134195,1134196,1134197,1134198 | 288577:1134199,1134200,1134201,1134202 | 288578:1134203,1134204,1134205,1134206 | 288579:1134207,1134208,1134209,1134210,1134211 | 288580:1134212,1134213,1134214,1134215 | 288581:1134216,1134217,1134218,1134219 | 288582:1134220,1134221,1134222,1134223 | 288583:1134224,1134225,1134226,1134227 | 288584:1134228,1134229,1134230,1134231,1134232 | 288585:1134233,1134234,1134235,1134236,1134237 | 288586:1134238,1134239,1134240,1134241 | 288587:1134242,1134243,1134244,1134245 | 288588:1134246,1134247,1134248,1134249 | 288589:1134250,1134251,1134252,1134253 | 288590:1134254,1134255,1134256,1134257 | 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