{"id":113860,"date":"2025-11-11T06:32:59","date_gmt":"2025-11-11T06:32:59","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=113860"},"modified":"2025-11-14T07:53:33","modified_gmt":"2025-11-14T07:53:33","slug":"get-the-most-updated-aif-c01-dumps-v15-02-to-make-preparations-start-with-aif-c01-free-dumps-part-1-q1-q40-today","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/get-the-most-updated-aif-c01-dumps-v15-02-to-make-preparations-start-with-aif-c01-free-dumps-part-1-q1-q40-today.html","title":{"rendered":"Get the Most Updated AIF-C01 Dumps (V15.02) to Make Preparations: Start with AIF-C01 Free Dumps (Part 1, Q1-Q40) Today"},"content":{"rendered":"<p>Complete the AWS Certified AI Practitioner (AIF-C01) exam to demonstrate your knowledge today with DumpsBase. We have updated the AIF-C01 dumps to V15.02, providing you with 282 questions and answers to help you prepare for the exam. This updated version makes sure that you can thoroughly review the latest exam objectives to identify all topics and their relative importance in the exam. Practicing all the AIF-C01 updated exam questions develops a structured timeline that allocates sufficient time to each topic area, ensuring comprehensive coverage before exam day. Trust DumpsBase, our AIF-C01 dumps (V15.02) will help you focus your study efforts on the most relevant topics and question types, ensuring efficient use of your preparation time. Today, you can start with the AIF-C01 free dumps.<\/p>\n<h2>Below are our <span style=\"background-color: #ffcc00;\"><em><strong>AIF-C01 free dumps (Part 1, Q1-Q40) of V15.02<\/strong><\/em><\/span> for reading today:<\/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=\"submittingExam11085\" 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-11085\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-11085\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-436243'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>A company is implementing the Amazon Titan foundation model (FM) by using Amazon Bedrock. The company needs to supplement the model by using relevant data from the company's private data sources. <br \/>\r<br>Which solution will meet this requirement?<\/div><input type='hidden' name='question_id[]' id='qID_1' value='436243' \/><input type='hidden' id='answerType436243' 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-436243[]' id='answer-id-1688137' class='answer   answerof-436243 ' value='1688137'   \/><label for='answer-id-1688137' id='answer-label-1688137' class=' answer'><span>Use a different FM<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436243[]' id='answer-id-1688138' class='answer   answerof-436243 ' value='1688138'   \/><label for='answer-id-1688138' id='answer-label-1688138' class=' answer'><span>Choose a lower temperature value<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436243[]' id='answer-id-1688139' class='answer   answerof-436243 ' value='1688139'   \/><label for='answer-id-1688139' id='answer-label-1688139' class=' answer'><span>Create an Amazon Bedrock knowledge base<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436243[]' id='answer-id-1688140' class='answer   answerof-436243 ' value='1688140'   \/><label for='answer-id-1688140' id='answer-label-1688140' class=' answer'><span>Enable model invocation logging<\/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-436244'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>A company uses Amazon SageMaker for its ML pipeline in a production environment. The company has large input data sizes up to 1 GB and processing times up to 1 hour. The company needs near real-time latency. <br \/>\r<br>Which SageMaker inference option meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_2' value='436244' \/><input type='hidden' id='answerType436244' 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-436244[]' id='answer-id-1688141' class='answer   answerof-436244 ' value='1688141'   \/><label for='answer-id-1688141' id='answer-label-1688141' class=' answer'><span>Real-time inference<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436244[]' id='answer-id-1688142' class='answer   answerof-436244 ' value='1688142'   \/><label for='answer-id-1688142' id='answer-label-1688142' class=' answer'><span>Serverless inference<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436244[]' id='answer-id-1688143' class='answer   answerof-436244 ' value='1688143'   \/><label for='answer-id-1688143' id='answer-label-1688143' class=' answer'><span>Asynchronous inference<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436244[]' id='answer-id-1688144' class='answer   answerof-436244 ' value='1688144'   \/><label for='answer-id-1688144' id='answer-label-1688144' class=' answer'><span>Batch transform<\/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-436245'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>A loan company is building a generative AI-based solution to offer new applicants discounts based on specific business criteria. The company wants to build and use an AI model responsibly to minimize bias that could negatively affect some customers. <br \/>\r<br>Which actions should the company take to meet these requirements? (Select TWO.)<\/div><input type='hidden' name='question_id[]' id='qID_3' value='436245' \/><input type='hidden' id='answerType436245' 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-436245[]' id='answer-id-1688145' class='answer   answerof-436245 ' value='1688145'   \/><label for='answer-id-1688145' id='answer-label-1688145' class=' answer'><span>Detect imbalances or disparities in the data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-436245[]' id='answer-id-1688146' class='answer   answerof-436245 ' value='1688146'   \/><label for='answer-id-1688146' id='answer-label-1688146' class=' answer'><span>Ensure that the model runs frequently.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-436245[]' id='answer-id-1688147' class='answer   answerof-436245 ' value='1688147'   \/><label for='answer-id-1688147' id='answer-label-1688147' class=' answer'><span>Evaluate the model's behavior so that the company can provide transparency to stakeholders.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-436245[]' id='answer-id-1688148' class='answer   answerof-436245 ' value='1688148'   \/><label for='answer-id-1688148' id='answer-label-1688148' class=' answer'><span>Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-436245[]' id='answer-id-1688149' class='answer   answerof-436245 ' value='1688149'   \/><label for='answer-id-1688149' id='answer-label-1688149' class=' answer'><span>Ensure that the model's inference time is within the accepted limits.<\/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-436246'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>A company manually reviews all submitted resumes in PDF format. As the company grows, the company expects the volume of resumes to exceed the company's review capacity. The company needs an automated system to convert the PDF resumes into plain text format for additional processing. <br \/>\r<br>Which AWS service meets this requirement?<\/div><input type='hidden' name='question_id[]' id='qID_4' value='436246' \/><input type='hidden' id='answerType436246' 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-436246[]' id='answer-id-1688150' class='answer   answerof-436246 ' value='1688150'   \/><label for='answer-id-1688150' id='answer-label-1688150' class=' answer'><span>Amazon Textract<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436246[]' id='answer-id-1688151' class='answer   answerof-436246 ' value='1688151'   \/><label for='answer-id-1688151' id='answer-label-1688151' class=' answer'><span>Amazon Personalize<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436246[]' id='answer-id-1688152' class='answer   answerof-436246 ' value='1688152'   \/><label for='answer-id-1688152' id='answer-label-1688152' class=' answer'><span>Amazon Lex<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436246[]' id='answer-id-1688153' class='answer   answerof-436246 ' value='1688153'   \/><label for='answer-id-1688153' id='answer-label-1688153' class=' answer'><span>Amazon Transcribe<\/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-436247'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>A company wants to use AI to protect its application from threats. The AI solution needs to check if an IP address is from a suspicious source.<br \/>\r\n<br \/>\r\nWhich solution meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_5' value='436247' \/><input type='hidden' id='answerType436247' 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-436247[]' id='answer-id-1688154' class='answer   answerof-436247 ' value='1688154'   \/><label for='answer-id-1688154' id='answer-label-1688154' class=' answer'><span>Build a speech recognition system.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436247[]' id='answer-id-1695123' class='answer   answerof-436247 ' value='1695123'   \/><label for='answer-id-1695123' id='answer-label-1695123' class=' answer'><span>Create a natural language processing (NLP) named entity recognition system.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436247[]' id='answer-id-1695124' class='answer   answerof-436247 ' value='1695124'   \/><label for='answer-id-1695124' id='answer-label-1695124' class=' answer'><span>Develop an anomaly detection system.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436247[]' id='answer-id-1695125' class='answer   answerof-436247 ' value='1695125'   \/><label for='answer-id-1695125' id='answer-label-1695125' class=' answer'><span>Create a fraud forecasting system.<\/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-436248'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>A company has built a solution by using generative AI. The solution uses large language models (LLMs) to translate training manuals from English into other languages. The company wants to evaluate the accuracy of the solution by examining the text generated for the manuals. <br \/>\r<br>Which model evaluation strategy meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_6' value='436248' \/><input type='hidden' id='answerType436248' 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-436248[]' id='answer-id-1688155' class='answer   answerof-436248 ' value='1688155'   \/><label for='answer-id-1688155' id='answer-label-1688155' class=' answer'><span>Bilingual Evaluation Understudy (BLEU)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436248[]' id='answer-id-1688156' class='answer   answerof-436248 ' value='1688156'   \/><label for='answer-id-1688156' id='answer-label-1688156' class=' answer'><span>Root mean squared error (RMSE)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436248[]' id='answer-id-1688157' class='answer   answerof-436248 ' value='1688157'   \/><label for='answer-id-1688157' id='answer-label-1688157' class=' answer'><span>Recall-Oriented Understudy for Gisting Evaluation (ROUGE)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436248[]' id='answer-id-1688158' class='answer   answerof-436248 ' value='1688158'   \/><label for='answer-id-1688158' id='answer-label-1688158' class=' answer'><span>F1 score<\/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-436249'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/span>A company has thousands of customer support interactions per day and wants to analyze these interactions to identify frequently asked questions and develop insights.<br \/>\r\n<br \/>\r\nWhich AWS service can the company use to meet this requirement?<\/div><input type='hidden' name='question_id[]' id='qID_7' value='436249' \/><input type='hidden' id='answerType436249' 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-436249[]' id='answer-id-1688159' class='answer   answerof-436249 ' value='1688159'   \/><label for='answer-id-1688159' id='answer-label-1688159' class=' answer'><span>Amazon Lex<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436249[]' id='answer-id-1695126' class='answer   answerof-436249 ' value='1695126'   \/><label for='answer-id-1695126' id='answer-label-1695126' class=' answer'><span>Amazon Comprehend<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436249[]' id='answer-id-1695127' class='answer   answerof-436249 ' value='1695127'   \/><label for='answer-id-1695127' id='answer-label-1695127' class=' answer'><span>Amazon Transcribe<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436249[]' id='answer-id-1695128' class='answer   answerof-436249 ' value='1695128'   \/><label for='answer-id-1695128' id='answer-label-1695128' class=' answer'><span>Amazon Translate<\/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-436250'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts. <br \/>\r<br>An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders. <br \/>\r<br>What should the AI practitioner include in the report to meet the transparency and explainability requirements?<\/div><input type='hidden' name='question_id[]' id='qID_8' value='436250' \/><input type='hidden' id='answerType436250' 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-436250[]' id='answer-id-1688160' class='answer   answerof-436250 ' value='1688160'   \/><label for='answer-id-1688160' id='answer-label-1688160' class=' answer'><span>Code for model training<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436250[]' id='answer-id-1688161' class='answer   answerof-436250 ' value='1688161'   \/><label for='answer-id-1688161' id='answer-label-1688161' class=' answer'><span>Partial dependence plots (PDPs)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436250[]' id='answer-id-1688162' class='answer   answerof-436250 ' value='1688162'   \/><label for='answer-id-1688162' id='answer-label-1688162' class=' answer'><span>Sample data for training<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436250[]' id='answer-id-1688163' class='answer   answerof-436250 ' value='1688163'   \/><label for='answer-id-1688163' id='answer-label-1688163' class=' answer'><span>Model convergence tables<\/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-436251'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>Which option is a use case for generative AI models?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='436251' \/><input type='hidden' id='answerType436251' 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-436251[]' id='answer-id-1688164' class='answer   answerof-436251 ' value='1688164'   \/><label for='answer-id-1688164' id='answer-label-1688164' class=' answer'><span>Improving network security by using intrusion detection systems<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436251[]' id='answer-id-1688165' class='answer   answerof-436251 ' value='1688165'   \/><label for='answer-id-1688165' id='answer-label-1688165' class=' answer'><span>Creating photorealistic images from text descriptions for digital marketing<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436251[]' id='answer-id-1688166' class='answer   answerof-436251 ' value='1688166'   \/><label for='answer-id-1688166' id='answer-label-1688166' class=' answer'><span>Enhancing database performance by using optimized indexing<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436251[]' id='answer-id-1688167' class='answer   answerof-436251 ' value='1688167'   \/><label for='answer-id-1688167' id='answer-label-1688167' class=' answer'><span>Analyzing financial data to forecast stock market trends<\/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-436252'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/span>Which option is a benefit of using Amazon SageMaker Model Cards to document AI models?<\/div><input type='hidden' name='question_id[]' id='qID_10' value='436252' \/><input type='hidden' id='answerType436252' 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-436252[]' id='answer-id-1688168' class='answer   answerof-436252 ' value='1688168'   \/><label for='answer-id-1688168' id='answer-label-1688168' class=' answer'><span>Providing a visually appealing summary of a model's capabilities.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436252[]' id='answer-id-1688169' class='answer   answerof-436252 ' value='1688169'   \/><label for='answer-id-1688169' id='answer-label-1688169' class=' answer'><span>Standardizing information about a model's purpose, performance, and limitations.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436252[]' id='answer-id-1688170' class='answer   answerof-436252 ' value='1688170'   \/><label for='answer-id-1688170' id='answer-label-1688170' class=' answer'><span>Reducing the overall computational requirements of a model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436252[]' id='answer-id-1688171' class='answer   answerof-436252 ' value='1688171'   \/><label for='answer-id-1688171' id='answer-label-1688171' class=' answer'><span>Physically storing models for archival purposes.<\/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-436253'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/span>A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations. <br \/>\r<br>Which solution will meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_11' value='436253' \/><input type='hidden' id='answerType436253' 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-436253[]' id='answer-id-1688172' class='answer   answerof-436253 ' value='1688172'   \/><label for='answer-id-1688172' id='answer-label-1688172' class=' answer'><span>Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436253[]' id='answer-id-1688173' class='answer   answerof-436253 ' value='1688173'   \/><label for='answer-id-1688173' id='answer-label-1688173' class=' answer'><span>Data augmentation by using an Amazon Bedrock knowledge base<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436253[]' id='answer-id-1688174' class='answer   answerof-436253 ' value='1688174'   \/><label for='answer-id-1688174' id='answer-label-1688174' class=' answer'><span>Image recognition by using Amazon Rekognition<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436253[]' id='answer-id-1688175' class='answer   answerof-436253 ' value='1688175'   \/><label for='answer-id-1688175' id='answer-label-1688175' class=' answer'><span>Data summarization by using Amazon QuickSight<\/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-436254'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/span>An AI practitioner has built a deep learning model to classify the types of materials in images. The AI practitioner now wants to measure the model performance. <br \/>\r<br>Which metric will help the AI practitioner evaluate the performance of the model?<\/div><input type='hidden' name='question_id[]' id='qID_12' value='436254' \/><input type='hidden' id='answerType436254' 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-436254[]' id='answer-id-1688176' class='answer   answerof-436254 ' value='1688176'   \/><label for='answer-id-1688176' id='answer-label-1688176' class=' answer'><span>Confusion matrix<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436254[]' id='answer-id-1688177' class='answer   answerof-436254 ' value='1688177'   \/><label for='answer-id-1688177' id='answer-label-1688177' class=' answer'><span>Correlation matrix<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436254[]' id='answer-id-1688178' class='answer   answerof-436254 ' value='1688178'   \/><label for='answer-id-1688178' id='answer-label-1688178' class=' answer'><span>R2 score<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436254[]' id='answer-id-1688179' class='answer   answerof-436254 ' value='1688179'   \/><label for='answer-id-1688179' id='answer-label-1688179' class=' answer'><span>Mean squared error (MSE)<\/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-436255'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/span>A pharmaceutical company wants to analyze user reviews of new medications and provide a concise overview for each medication. <br \/>\r<br>Which solution meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_13' value='436255' \/><input type='hidden' id='answerType436255' 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-436255[]' id='answer-id-1688180' class='answer   answerof-436255 ' value='1688180'   \/><label for='answer-id-1688180' id='answer-label-1688180' class=' answer'><span>Create a time-series forecasting model to analyze the medication reviews by using Amazon Personalize.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436255[]' id='answer-id-1688181' class='answer   answerof-436255 ' value='1688181'   \/><label for='answer-id-1688181' id='answer-label-1688181' class=' answer'><span>Create medication review summaries by using Amazon Bedrock large language models (LLMs).<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436255[]' id='answer-id-1688182' class='answer   answerof-436255 ' value='1688182'   \/><label for='answer-id-1688182' id='answer-label-1688182' class=' answer'><span>Create a classification model that categorizes medications into different groups by using Amazon SageMaker.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436255[]' id='answer-id-1688183' class='answer   answerof-436255 ' value='1688183'   \/><label for='answer-id-1688183' id='answer-label-1688183' class=' answer'><span>Create medication review summaries by using Amazon Rekognition.<\/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-436256'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/span>An AI company periodically evaluates its systems and processes with the help of independent software vendors (ISVs). The company needs to receive email message notifications when an ISV's compliance reports become available. <br \/>\r<br>Which AWS service can the company use to meet this requirement?<\/div><input type='hidden' name='question_id[]' id='qID_14' value='436256' \/><input type='hidden' id='answerType436256' 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-436256[]' id='answer-id-1688184' class='answer   answerof-436256 ' value='1688184'   \/><label for='answer-id-1688184' id='answer-label-1688184' class=' answer'><span>AWS Audit Manager<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436256[]' id='answer-id-1688185' class='answer   answerof-436256 ' value='1688185'   \/><label for='answer-id-1688185' id='answer-label-1688185' class=' answer'><span>AWS Artifact<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436256[]' id='answer-id-1688186' class='answer   answerof-436256 ' value='1688186'   \/><label for='answer-id-1688186' id='answer-label-1688186' class=' answer'><span>AWS Trusted Advisor<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436256[]' id='answer-id-1688187' class='answer   answerof-436256 ' value='1688187'   \/><label for='answer-id-1688187' id='answer-label-1688187' class=' answer'><span>AWS Data Exchange<\/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-436257'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>A student at a university is copying content from generative AI to write essays.<br \/>\r\n<br \/>\r\nWhich challenge of responsible generative AI does this scenario represent?<\/div><input type='hidden' name='question_id[]' id='qID_15' value='436257' \/><input type='hidden' id='answerType436257' 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-436257[]' id='answer-id-1688188' class='answer   answerof-436257 ' value='1688188'   \/><label for='answer-id-1688188' id='answer-label-1688188' class=' answer'><span>Toxicity<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436257[]' id='answer-id-1695129' class='answer   answerof-436257 ' value='1695129'   \/><label for='answer-id-1695129' id='answer-label-1695129' class=' answer'><span>Hallucinations<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436257[]' id='answer-id-1695130' class='answer   answerof-436257 ' value='1695130'   \/><label for='answer-id-1695130' id='answer-label-1695130' class=' answer'><span>Plagiarism<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436257[]' id='answer-id-1695131' class='answer   answerof-436257 ' value='1695131'   \/><label for='answer-id-1695131' id='answer-label-1695131' class=' answer'><span>Privacy<\/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-436258'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks.<br \/>\r\n<br \/>\r\nWhich ML strategy meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_16' value='436258' \/><input type='hidden' id='answerType436258' 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-436258[]' id='answer-id-1688189' class='answer   answerof-436258 ' value='1688189'   \/><label for='answer-id-1688189' id='answer-label-1688189' class=' answer'><span>Increase the number of epochs.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436258[]' id='answer-id-1695132' class='answer   answerof-436258 ' value='1695132'   \/><label for='answer-id-1695132' id='answer-label-1695132' class=' answer'><span>Use transfer learning.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436258[]' id='answer-id-1695133' class='answer   answerof-436258 ' value='1695133'   \/><label for='answer-id-1695133' id='answer-label-1695133' class=' answer'><span>Decrease the number of epochs.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436258[]' id='answer-id-1695134' class='answer   answerof-436258 ' value='1695134'   \/><label for='answer-id-1695134' id='answer-label-1695134' class=' answer'><span>Use unsupervised learning.<\/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-436259'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>A medical company deployed a disease detection model on Amazon Bedrock. To comply with privacy policies, the company wants to prevent the model from including personal patient information in its responses. The company also wants to receive notification when policy violations occur. <br \/>\r<br>Which solution meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_17' value='436259' \/><input type='hidden' id='answerType436259' 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-436259[]' id='answer-id-1688190' class='answer   answerof-436259 ' value='1688190'   \/><label for='answer-id-1688190' id='answer-label-1688190' class=' answer'><span>Use Amazon Macie to scan the model's output for sensitive data and set up alerts for potential violations.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436259[]' id='answer-id-1688191' class='answer   answerof-436259 ' value='1688191'   \/><label for='answer-id-1688191' id='answer-label-1688191' class=' answer'><span>Configure AWS CloudTrail to monitor the model's responses and create alerts for any detected personal information.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436259[]' id='answer-id-1688192' class='answer   answerof-436259 ' value='1688192'   \/><label for='answer-id-1688192' id='answer-label-1688192' class=' answer'><span>Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436259[]' id='answer-id-1688193' class='answer   answerof-436259 ' value='1688193'   \/><label for='answer-id-1688193' id='answer-label-1688193' class=' answer'><span>Implement Amazon SageMaker Model Monitor to detect data drift and receive alerts when model quality degrades.<\/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-436260'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/span>A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis.<br \/>\r\n<br \/>\r\nThe company wants to know how much information can fit into one prompt.<br \/>\r\n<br \/>\r\nWhich consideration will inform the company's decision?<\/div><input type='hidden' name='question_id[]' id='qID_18' value='436260' \/><input type='hidden' id='answerType436260' 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-436260[]' id='answer-id-1688194' class='answer   answerof-436260 ' value='1688194'   \/><label for='answer-id-1688194' id='answer-label-1688194' class=' answer'><span>Temperature\r\n<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436260[]' id='answer-id-1695135' class='answer   answerof-436260 ' value='1695135'   \/><label for='answer-id-1695135' id='answer-label-1695135' class=' answer'><span>Context window<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436260[]' id='answer-id-1695136' class='answer   answerof-436260 ' value='1695136'   \/><label for='answer-id-1695136' id='answer-label-1695136' class=' answer'><span>Batch size<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436260[]' id='answer-id-1695137' class='answer   answerof-436260 ' value='1695137'   \/><label for='answer-id-1695137' id='answer-label-1695137' class=' answer'><span>Model size<\/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-436261'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>A company has documents that are missing some words because of a database error. The company wants to build an ML model that can suggest potential words to fill in the missing text.<br \/>\r\n<br \/>\r\nWhich type of model meets this requirement?<\/div><input type='hidden' name='question_id[]' id='qID_19' value='436261' \/><input type='hidden' id='answerType436261' 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-436261[]' id='answer-id-1688195' class='answer   answerof-436261 ' value='1688195'   \/><label for='answer-id-1688195' id='answer-label-1688195' class=' answer'><span>Topic modeling<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436261[]' id='answer-id-1695138' class='answer   answerof-436261 ' value='1695138'   \/><label for='answer-id-1695138' id='answer-label-1695138' class=' answer'><span>Clustering models<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436261[]' id='answer-id-1695139' class='answer   answerof-436261 ' value='1695139'   \/><label for='answer-id-1695139' id='answer-label-1695139' class=' answer'><span>Prescriptive ML models<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436261[]' id='answer-id-1695140' class='answer   answerof-436261 ' value='1695140'   \/><label for='answer-id-1695140' id='answer-label-1695140' class=' answer'><span>BERT-based models<\/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-436262'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images. <br \/>\r<br>Which type of FM should the AI practitioner use to power the search application?<\/div><input type='hidden' name='question_id[]' id='qID_20' value='436262' \/><input type='hidden' id='answerType436262' 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-436262[]' id='answer-id-1688196' class='answer   answerof-436262 ' value='1688196'   \/><label for='answer-id-1688196' id='answer-label-1688196' class=' answer'><span>Multi-modal embedding model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436262[]' id='answer-id-1688197' class='answer   answerof-436262 ' value='1688197'   \/><label for='answer-id-1688197' id='answer-label-1688197' class=' answer'><span>Text embedding model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436262[]' id='answer-id-1688198' class='answer   answerof-436262 ' value='1688198'   \/><label for='answer-id-1688198' id='answer-label-1688198' class=' answer'><span>Multi-modal generation model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436262[]' id='answer-id-1688199' class='answer   answerof-436262 ' value='1688199'   \/><label for='answer-id-1688199' id='answer-label-1688199' class=' answer'><span>Image generation model<\/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-436263'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/span>An AI practitioner is using an Amazon Bedrock base model to summarize session chats from the customer service department. The AI practitioner wants to store invocation logs to monitor model input and output data. <br \/>\r<br>Which strategy should the AI practitioner use?<\/div><input type='hidden' name='question_id[]' id='qID_21' value='436263' \/><input type='hidden' id='answerType436263' 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-436263[]' id='answer-id-1688200' class='answer   answerof-436263 ' value='1688200'   \/><label for='answer-id-1688200' id='answer-label-1688200' class=' answer'><span>Configure AWS CloudTrail as the logs destination for the model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436263[]' id='answer-id-1688201' class='answer   answerof-436263 ' value='1688201'   \/><label for='answer-id-1688201' id='answer-label-1688201' class=' answer'><span>Enable invocation logging in Amazon Bedrock.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436263[]' id='answer-id-1688202' class='answer   answerof-436263 ' value='1688202'   \/><label for='answer-id-1688202' id='answer-label-1688202' class=' answer'><span>Configure AWS Audit Manager as the logs destination for the model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436263[]' id='answer-id-1688203' class='answer   answerof-436263 ' value='1688203'   \/><label for='answer-id-1688203' id='answer-label-1688203' class=' answer'><span>Configure model invocation logging in Amazon EventBridge.<\/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-436264'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/span>A company has petabytes of unlabeled customer data to use for an advertisement campaign. The company wants to classify its customers into tiers to advertise and promote the company's products.<br \/>\r\n<br \/>\r\nWhich methodology should the company use to meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_22' value='436264' \/><input type='hidden' id='answerType436264' 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-436264[]' id='answer-id-1688204' class='answer   answerof-436264 ' value='1688204'   \/><label for='answer-id-1688204' id='answer-label-1688204' class=' answer'><span>Supervised learning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436264[]' id='answer-id-1695141' class='answer   answerof-436264 ' value='1695141'   \/><label for='answer-id-1695141' id='answer-label-1695141' class=' answer'><span>Unsupervised learning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436264[]' id='answer-id-1695142' class='answer   answerof-436264 ' value='1695142'   \/><label for='answer-id-1695142' id='answer-label-1695142' class=' answer'><span>Reinforcement learning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436264[]' id='answer-id-1695143' class='answer   answerof-436264 ' value='1695143'   \/><label for='answer-id-1695143' id='answer-label-1695143' class=' answer'><span>Reinforcement learning from human feedback (RLHF)<\/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-436265'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/span>A company wants to make a chatbot to help customers. The chatbot will help solve technical problems without human intervention. The company chose a foundation model (FM) for the chatbot. The chatbot needs to produce responses that adhere to company tone.<br \/>\r\n<br \/>\r\nWhich solution meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_23' value='436265' \/><input type='hidden' id='answerType436265' 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-436265[]' id='answer-id-1688205' class='answer   answerof-436265 ' value='1688205'   \/><label for='answer-id-1688205' id='answer-label-1688205' class=' answer'><span>Set a low limit on the number of tokens the FM can produce.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436265[]' id='answer-id-1695144' class='answer   answerof-436265 ' value='1695144'   \/><label for='answer-id-1695144' id='answer-label-1695144' class=' answer'><span>Use batch inferencing to process detailed responses.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436265[]' id='answer-id-1695145' class='answer   answerof-436265 ' value='1695145'   \/><label for='answer-id-1695145' id='answer-label-1695145' class=' answer'><span>Experiment and refine the prompt until the FM produces the desired responses.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436265[]' id='answer-id-1695146' class='answer   answerof-436265 ' value='1695146'   \/><label for='answer-id-1695146' id='answer-label-1695146' class=' answer'><span>Define a higher number for the temperature parameter.<\/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-436266'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/span>A company is using the Generative AI Security Scoping Matrix to assess security responsibilities for its solutions. The company has identified four different solution scopes based on the matrix. <br \/>\r<br>Which solution scope gives the company the MOST ownership of security responsibilities?<\/div><input type='hidden' name='question_id[]' id='qID_24' value='436266' \/><input type='hidden' id='answerType436266' 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-436266[]' id='answer-id-1688206' class='answer   answerof-436266 ' value='1688206'   \/><label for='answer-id-1688206' id='answer-label-1688206' class=' answer'><span>Using a third-party enterprise application that has embedded generative AI features.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436266[]' id='answer-id-1688207' class='answer   answerof-436266 ' value='1688207'   \/><label for='answer-id-1688207' id='answer-label-1688207' class=' answer'><span>Building an application by using an existing third-party generative AI foundation model (FM).<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436266[]' id='answer-id-1688208' class='answer   answerof-436266 ' value='1688208'   \/><label for='answer-id-1688208' id='answer-label-1688208' class=' answer'><span>Refining an existing third-party generative AI foundation model (FM) by fine-tuning the model by using data specific to the business.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436266[]' id='answer-id-1688209' class='answer   answerof-436266 ' value='1688209'   \/><label for='answer-id-1688209' id='answer-label-1688209' class=' answer'><span>Building and training a generative AI model from scratch by using specific data that a customer owns.<\/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-436267'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/span>A company deployed an AI\/ML solution to help customer service agents respond to frequently asked questions. The questions can change over time. The company wants to give customer service agents the ability to ask questions and receive automatically generated answers to common customer questions. <br \/>\r<br>Which strategy will meet these requirements MOST cost-effectively?<\/div><input type='hidden' name='question_id[]' id='qID_25' value='436267' \/><input type='hidden' id='answerType436267' 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-436267[]' id='answer-id-1688210' class='answer   answerof-436267 ' value='1688210'   \/><label for='answer-id-1688210' id='answer-label-1688210' class=' answer'><span>Fine-tune the model regularly.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436267[]' id='answer-id-1688211' class='answer   answerof-436267 ' value='1688211'   \/><label for='answer-id-1688211' id='answer-label-1688211' class=' answer'><span>Train the model by using context data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436267[]' id='answer-id-1688212' class='answer   answerof-436267 ' value='1688212'   \/><label for='answer-id-1688212' id='answer-label-1688212' class=' answer'><span>Pre-train and benchmark the model by using context data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436267[]' id='answer-id-1688213' class='answer   answerof-436267 ' value='1688213'   \/><label for='answer-id-1688213' id='answer-label-1688213' class=' answer'><span>Use Retrieval Augmented Generation (RAG) with prompt engineering techniques.<\/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-436268'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/span>An e-commerce company wants to build a solution to determine customer sentiments based on written customer reviews of products.<br \/>\r\n<br \/>\r\nWhich AWS services meet these requirements? (Select TWO.)<\/div><input type='hidden' name='question_id[]' id='qID_26' value='436268' \/><input type='hidden' id='answerType436268' 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-436268[]' id='answer-id-1688214' class='answer   answerof-436268 ' value='1688214'   \/><label for='answer-id-1688214' id='answer-label-1688214' class=' answer'><span>Amazon Lex<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-436268[]' id='answer-id-1695147' class='answer   answerof-436268 ' value='1695147'   \/><label for='answer-id-1695147' id='answer-label-1695147' class=' answer'><span>Amazon Comprehend<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-436268[]' id='answer-id-1695148' class='answer   answerof-436268 ' value='1695148'   \/><label for='answer-id-1695148' id='answer-label-1695148' class=' answer'><span>Amazon Polly<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-436268[]' id='answer-id-1695149' class='answer   answerof-436268 ' value='1695149'   \/><label for='answer-id-1695149' id='answer-label-1695149' class=' answer'><span>Amazon Bedrock<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-436268[]' id='answer-id-1695150' class='answer   answerof-436268 ' value='1695150'   \/><label for='answer-id-1695150' id='answer-label-1695150' class=' answer'><span>Amazon Rekognition<\/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-436269'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/span>A company is building an ML model. The company collected new data and analyzed the data by creating a correlation matrix, calculating statistics, and visualizing the data. <br \/>\r<br>Which stage of the ML pipeline is the company currently in?<\/div><input type='hidden' name='question_id[]' id='qID_27' value='436269' \/><input type='hidden' id='answerType436269' 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-436269[]' id='answer-id-1688215' class='answer   answerof-436269 ' value='1688215'   \/><label for='answer-id-1688215' id='answer-label-1688215' class=' answer'><span>Data pre-processing<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436269[]' id='answer-id-1688216' class='answer   answerof-436269 ' value='1688216'   \/><label for='answer-id-1688216' id='answer-label-1688216' class=' answer'><span>Feature engineering<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436269[]' id='answer-id-1688217' class='answer   answerof-436269 ' value='1688217'   \/><label for='answer-id-1688217' id='answer-label-1688217' class=' answer'><span>Exploratory data analysis<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436269[]' id='answer-id-1688218' class='answer   answerof-436269 ' value='1688218'   \/><label for='answer-id-1688218' id='answer-label-1688218' class=' answer'><span>Hyperparameter tuning<\/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-436270'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/span>What does an F1 score measure in the context of foundation model (FM) performance?<\/div><input type='hidden' name='question_id[]' id='qID_28' value='436270' \/><input type='hidden' id='answerType436270' 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-436270[]' id='answer-id-1688219' class='answer   answerof-436270 ' value='1688219'   \/><label for='answer-id-1688219' id='answer-label-1688219' class=' answer'><span>Model precision and recall<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436270[]' id='answer-id-1688220' class='answer   answerof-436270 ' value='1688220'   \/><label for='answer-id-1688220' id='answer-label-1688220' class=' answer'><span>Model speed in generating responses<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436270[]' id='answer-id-1688221' class='answer   answerof-436270 ' value='1688221'   \/><label for='answer-id-1688221' id='answer-label-1688221' class=' answer'><span>Financial cost of operating the model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436270[]' id='answer-id-1688222' class='answer   answerof-436270 ' value='1688222'   \/><label for='answer-id-1688222' id='answer-label-1688222' class=' answer'><span>Energy efficiency of the model's computations<\/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-436271'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed access to any internet traffic. <br \/>\r<br>Which AWS service or feature will meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_29' value='436271' \/><input type='hidden' id='answerType436271' 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-436271[]' id='answer-id-1688223' class='answer   answerof-436271 ' value='1688223'   \/><label for='answer-id-1688223' id='answer-label-1688223' class=' answer'><span>AWS PrivateLink<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436271[]' id='answer-id-1688224' class='answer   answerof-436271 ' value='1688224'   \/><label for='answer-id-1688224' id='answer-label-1688224' class=' answer'><span>Amazon Macie<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436271[]' id='answer-id-1688225' class='answer   answerof-436271 ' value='1688225'   \/><label for='answer-id-1688225' id='answer-label-1688225' class=' answer'><span>Amazon CloudFront<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436271[]' id='answer-id-1688226' class='answer   answerof-436271 ' value='1688226'   \/><label for='answer-id-1688226' id='answer-label-1688226' class=' answer'><span>Internet gateway<\/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-436272'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/span>Which functionality does Amazon SageMaker Clarify provide?<\/div><input type='hidden' name='question_id[]' id='qID_30' value='436272' \/><input type='hidden' id='answerType436272' 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-436272[]' id='answer-id-1688227' class='answer   answerof-436272 ' value='1688227'   \/><label for='answer-id-1688227' id='answer-label-1688227' class=' answer'><span>Integrates a Retrieval Augmented Generation (RAG) workflow<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436272[]' id='answer-id-1688228' class='answer   answerof-436272 ' value='1688228'   \/><label for='answer-id-1688228' id='answer-label-1688228' class=' answer'><span>Monitors the quality of ML models in production<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436272[]' id='answer-id-1688229' class='answer   answerof-436272 ' value='1688229'   \/><label for='answer-id-1688229' id='answer-label-1688229' class=' answer'><span>Documents critical details about ML models<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436272[]' id='answer-id-1688230' class='answer   answerof-436272 ' value='1688230'   \/><label for='answer-id-1688230' id='answer-label-1688230' class=' answer'><span>Identifies potential bias during data preparation<\/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-436273'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>31. <\/span>A company built a deep learning model for object detection and deployed the model to production.<br \/>\r\n<br \/>\r\nWhich AI process occurs when the model analyzes a new image to identify objects?<\/div><input type='hidden' name='question_id[]' id='qID_31' value='436273' \/><input type='hidden' id='answerType436273' 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-436273[]' id='answer-id-1688231' class='answer   answerof-436273 ' value='1688231'   \/><label for='answer-id-1688231' id='answer-label-1688231' class=' answer'><span>Training<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436273[]' id='answer-id-1695151' class='answer   answerof-436273 ' value='1695151'   \/><label for='answer-id-1695151' id='answer-label-1695151' class=' answer'><span>Inference<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436273[]' id='answer-id-1695152' class='answer   answerof-436273 ' value='1695152'   \/><label for='answer-id-1695152' id='answer-label-1695152' class=' answer'><span>Model deployment<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436273[]' id='answer-id-1695153' class='answer   answerof-436273 ' value='1695153'   \/><label for='answer-id-1695153' id='answer-label-1695153' class=' answer'><span>Bias correction<\/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-436274'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>32. <\/span>A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects the <br \/>\r<br>output. <br \/>\r<br>Which ML algorithm meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_32' value='436274' \/><input type='hidden' id='answerType436274' 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-436274[]' id='answer-id-1688232' class='answer   answerof-436274 ' value='1688232'   \/><label for='answer-id-1688232' id='answer-label-1688232' class=' answer'><span>Decision trees<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436274[]' id='answer-id-1688233' class='answer   answerof-436274 ' value='1688233'   \/><label for='answer-id-1688233' id='answer-label-1688233' class=' answer'><span>Linear regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436274[]' id='answer-id-1688234' class='answer   answerof-436274 ' value='1688234'   \/><label for='answer-id-1688234' id='answer-label-1688234' class=' answer'><span>Logistic regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436274[]' id='answer-id-1688235' class='answer   answerof-436274 ' value='1688235'   \/><label for='answer-id-1688235' id='answer-label-1688235' class=' answer'><span>Neural networks<\/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-436275'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>33. <\/span>A research company implemented a chatbot by using a foundation model (FM) from Amazon Bedrock. The chatbot searches for answers to questions from a large database of research papers. <br \/>\r<br>After multiple prompt engineering attempts, the company notices that the FM is performing poorly because of the complex scientific terms in the research papers. <br \/>\r<br>How can the company improve the performance of the chatbot?<\/div><input type='hidden' name='question_id[]' id='qID_33' value='436275' \/><input type='hidden' id='answerType436275' 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-436275[]' id='answer-id-1688236' class='answer   answerof-436275 ' value='1688236'   \/><label for='answer-id-1688236' id='answer-label-1688236' class=' answer'><span>Use few-shot prompting to define how the FM can answer the questions.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436275[]' id='answer-id-1688237' class='answer   answerof-436275 ' value='1688237'   \/><label for='answer-id-1688237' id='answer-label-1688237' class=' answer'><span>Use domain adaptation fine-tuning to adapt the FM to complex scientific terms.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436275[]' id='answer-id-1688238' class='answer   answerof-436275 ' value='1688238'   \/><label for='answer-id-1688238' id='answer-label-1688238' class=' answer'><span>Change the FM inference parameters.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436275[]' id='answer-id-1688239' class='answer   answerof-436275 ' value='1688239'   \/><label for='answer-id-1688239' id='answer-label-1688239' class=' answer'><span>Clean the research paper data to remove complex scientific terms.<\/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-436276'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>34. <\/span>An AI practitioner has a database of animal photos. The AI practitioner wants to automatically identify and categorize the animals in the photos without manual human effort. <br \/>\r<br>Which strategy meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_34' value='436276' \/><input type='hidden' id='answerType436276' 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-436276[]' id='answer-id-1688240' class='answer   answerof-436276 ' value='1688240'   \/><label for='answer-id-1688240' id='answer-label-1688240' class=' answer'><span>Object detection<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436276[]' id='answer-id-1688241' class='answer   answerof-436276 ' value='1688241'   \/><label for='answer-id-1688241' id='answer-label-1688241' class=' answer'><span>Anomaly detection<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436276[]' id='answer-id-1688242' class='answer   answerof-436276 ' value='1688242'   \/><label for='answer-id-1688242' id='answer-label-1688242' class=' answer'><span>Named entity recognition<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436276[]' id='answer-id-1688243' class='answer   answerof-436276 ' value='1688243'   \/><label for='answer-id-1688243' id='answer-label-1688243' class=' answer'><span>Inpainting<\/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-436277'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>35. <\/span>A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality. <br \/>\r<br>Which action must the company take to use the custom model through Amazon Bedrock?<\/div><input type='hidden' name='question_id[]' id='qID_35' value='436277' \/><input type='hidden' id='answerType436277' 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-436277[]' id='answer-id-1688244' class='answer   answerof-436277 ' value='1688244'   \/><label for='answer-id-1688244' id='answer-label-1688244' class=' answer'><span>Purchase Provisioned Throughput for the custom model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436277[]' id='answer-id-1688245' class='answer   answerof-436277 ' value='1688245'   \/><label for='answer-id-1688245' id='answer-label-1688245' class=' answer'><span>Deploy the custom model in an Amazon SageMaker endpoint for real-time inference.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436277[]' id='answer-id-1688246' class='answer   answerof-436277 ' value='1688246'   \/><label for='answer-id-1688246' id='answer-label-1688246' class=' answer'><span>Register the model with the Amazon SageMaker Model Registry.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436277[]' id='answer-id-1688247' class='answer   answerof-436277 ' value='1688247'   \/><label for='answer-id-1688247' id='answer-label-1688247' class=' answer'><span>Grant access to the custom model in Amazon Bedrock.<\/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-436278'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>36. <\/span>A company wants to build an ML model by using Amazon SageMaker. The company needs to share and manage variables for model development across multiple teams. <br \/>\r<br>Which SageMaker feature meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_36' value='436278' \/><input type='hidden' id='answerType436278' 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-436278[]' id='answer-id-1688248' class='answer   answerof-436278 ' value='1688248'   \/><label for='answer-id-1688248' id='answer-label-1688248' class=' answer'><span>Amazon SageMaker Feature Store<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436278[]' id='answer-id-1688249' class='answer   answerof-436278 ' value='1688249'   \/><label for='answer-id-1688249' id='answer-label-1688249' class=' answer'><span>Amazon SageMaker Data Wrangler<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436278[]' id='answer-id-1688250' class='answer   answerof-436278 ' value='1688250'   \/><label for='answer-id-1688250' id='answer-label-1688250' class=' answer'><span>Amazon SageMaker Clarify<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436278[]' id='answer-id-1688251' class='answer   answerof-436278 ' value='1688251'   \/><label for='answer-id-1688251' id='answer-label-1688251' class=' answer'><span>Amazon SageMaker Model Cards<\/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-436279'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>37. <\/span>A company is using Amazon SageMaker Studio notebooks to build and train ML models. The company stores the data in an Amazon S3 bucket. The company needs to manage the flow of data from Amazon S3 to SageMaker Studio notebooks.<br \/>\r\n<br \/>\r\nWhich solution will meet this requirement?<\/div><input type='hidden' name='question_id[]' id='qID_37' value='436279' \/><input type='hidden' id='answerType436279' 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-436279[]' id='answer-id-1688252' class='answer   answerof-436279 ' value='1688252'   \/><label for='answer-id-1688252' id='answer-label-1688252' class=' answer'><span>Use Amazon Inspector to monitor SageMaker Studio.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436279[]' id='answer-id-1695154' class='answer   answerof-436279 ' value='1695154'   \/><label for='answer-id-1695154' id='answer-label-1695154' class=' answer'><span>Use Amazon Macie to monitor SageMaker Studio.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436279[]' id='answer-id-1695155' class='answer   answerof-436279 ' value='1695155'   \/><label for='answer-id-1695155' id='answer-label-1695155' class=' answer'><span>Configure SageMaker to use a VPC with an S3 endpoint.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436279[]' id='answer-id-1695156' class='answer   answerof-436279 ' value='1695156'   \/><label for='answer-id-1695156' id='answer-label-1695156' class=' answer'><span>Configure SageMaker to use S3 Glacier Deep Archive.<\/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-436280'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>38. <\/span>A company wants to develop a large language model (LLM) application by using Amazon Bedrock and customer data that is uploaded to Amazon S3. The company's security policy states that each team can access data for only the team's own customers. <br \/>\r<br>Which solution will meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_38' value='436280' \/><input type='hidden' id='answerType436280' 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-436280[]' id='answer-id-1688253' class='answer   answerof-436280 ' value='1688253'   \/><label for='answer-id-1688253' id='answer-label-1688253' class=' answer'><span>Create an Amazon Bedrock custom service role for each team that has access to only the team's customer data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436280[]' id='answer-id-1688254' class='answer   answerof-436280 ' value='1688254'   \/><label for='answer-id-1688254' id='answer-label-1688254' class=' answer'><span>Create a custom service role that has Amazon S3 access. Ask teams to specify the customer name on each Amazon Bedrock request.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436280[]' id='answer-id-1688255' class='answer   answerof-436280 ' value='1688255'   \/><label for='answer-id-1688255' id='answer-label-1688255' class=' answer'><span>Redact personal data in Amazon S3. Update the S3 bucket policy to allow team access to customer data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436280[]' id='answer-id-1688256' class='answer   answerof-436280 ' value='1688256'   \/><label for='answer-id-1688256' id='answer-label-1688256' class=' answer'><span>Create one Amazon Bedrock role that has full Amazon S3 access. Create IAM roles for each team that have access to only each team's customer folders.<\/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-436281'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>39. <\/span>An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attributes affect the image generation and create bias in the model. <br \/>\r<br>Which technique will solve the problem?<\/div><input type='hidden' name='question_id[]' id='qID_39' value='436281' \/><input type='hidden' id='answerType436281' 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-436281[]' id='answer-id-1688257' class='answer   answerof-436281 ' value='1688257'   \/><label for='answer-id-1688257' id='answer-label-1688257' class=' answer'><span>Data augmentation for imbalanced classes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436281[]' id='answer-id-1688258' class='answer   answerof-436281 ' value='1688258'   \/><label for='answer-id-1688258' id='answer-label-1688258' class=' answer'><span>Model monitoring for class distribution<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436281[]' id='answer-id-1688259' class='answer   answerof-436281 ' value='1688259'   \/><label for='answer-id-1688259' id='answer-label-1688259' class=' answer'><span>Retrieval Augmented Generation (RAG)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436281[]' id='answer-id-1688260' class='answer   answerof-436281 ' value='1688260'   \/><label for='answer-id-1688260' id='answer-label-1688260' class=' answer'><span>Watermark detection for images<\/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-436282'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>40. <\/span>A company wants to use large language models (LLMs) with Amazon Bedrock to develop a chat interface for the company's product manuals. The manuals are stored as PDF files. <br \/>\r<br>Which solution meets these requirements MOST cost-effectively?<\/div><input type='hidden' name='question_id[]' id='qID_40' value='436282' \/><input type='hidden' id='answerType436282' 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-436282[]' id='answer-id-1688261' class='answer   answerof-436282 ' value='1688261'   \/><label for='answer-id-1688261' id='answer-label-1688261' class=' answer'><span>Use prompt engineering to add one PDF file as context to the user prompt when the prompt is submitted to Amazon Bedrock.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436282[]' id='answer-id-1688262' class='answer   answerof-436282 ' value='1688262'   \/><label for='answer-id-1688262' id='answer-label-1688262' class=' answer'><span>Use prompt engineering to add all the PDF files as context to the user prompt when the prompt is submitted to Amazon Bedrock.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436282[]' id='answer-id-1688263' class='answer   answerof-436282 ' value='1688263'   \/><label for='answer-id-1688263' id='answer-label-1688263' class=' answer'><span>Use all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned model to process user prompts.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-436282[]' id='answer-id-1688264' class='answer   answerof-436282 ' value='1688264'   \/><label for='answer-id-1688264' id='answer-label-1688264' class=' answer'><span>Upload PDF documents to an Amazon Bedrock knowledge base. 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We have updated the AIF-C01 dumps to V15.02, providing you with 282 questions and answers to help you prepare for the exam. This updated version makes sure that you can thoroughly review the latest exam objectives to identify all topics [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[175,17613],"tags":[20295,20294],"class_list":["post-113860","post","type-post","status-publish","format-standard","hentry","category-amazon","category-aws-certified-ai-practitioner","tag-aif-c01-updated-exam-questions","tag-aws-certified-ai-practitioner-aif-c01"],"_links":{"self":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/113860","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/comments?post=113860"}],"version-history":[{"count":2,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/113860\/revisions"}],"predecessor-version":[{"id":114135,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/113860\/revisions\/114135"}],"wp:attachment":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/media?parent=113860"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/categories?post=113860"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/tags?post=113860"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}