{"id":125828,"date":"2026-05-13T07:26:51","date_gmt":"2026-05-13T07:26:51","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=125828"},"modified":"2026-05-13T07:26:54","modified_gmt":"2026-05-13T07:26:54","slug":"aif-c01-dumps-v18-02-with-365-exam-questions-and-answers-check-aif-c01-free-dumps-part-1-q1-q40-today","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/aif-c01-dumps-v18-02-with-365-exam-questions-and-answers-check-aif-c01-free-dumps-part-1-q1-q40-today.html","title":{"rendered":"AIF-C01 Dumps (V18.02) with 365 Exam Questions and Answers &#8211; Check AIF-C01 Free Dumps (Part 1, Q1-Q40) Today"},"content":{"rendered":"\n<p>Start your AWS Certified AI Practitioner (AIF-C01) exam preparation with DumpsBase. We have updated the AIF-C01 dumps to V18.02 with 365 exam questions and answers. These questions and answers are updated to align with the latest AWS Certified AI Practitioner exam objectives, helping you validate your foundational knowledge of artificial intelligence, machine learning, and generative AI on AWS. Our AIF-C01 dumps (V18.02) will help you study more efficiently and build confidence before taking the real exam. You can check the validity of your one-year free updates and come to DumpsBase to download the most up-to-date AIF-C01 dumps (V18.02). If you are new to DumpsBase, you can check our AIF-C01 free dumps here to verify the quality. Choose DumpsBase today, our latest AIF-C01 dumps (V18.02) will help you prepare with confidence.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Below are the AIF-C01 free dumps (Part 1, Q1-Q40) of V18.02 for reading:<\/h2>\n\n\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=\"submittingExam11688\" 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-11688\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-11688\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-458566'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/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_1' value='458566' \/><input type='hidden' id='answerType458566' 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-458566[]' id='answer-id-1772703' class='answer   answerof-458566 ' value='1772703'   \/><label for='answer-id-1772703' id='answer-label-1772703' 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-458566[]' id='answer-id-1772704' class='answer   answerof-458566 ' value='1772704'   \/><label for='answer-id-1772704' id='answer-label-1772704' 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-458566[]' id='answer-id-1772705' class='answer   answerof-458566 ' value='1772705'   \/><label for='answer-id-1772705' id='answer-label-1772705' 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-458566[]' id='answer-id-1772706' class='answer   answerof-458566 ' value='1772706'   \/><label for='answer-id-1772706' id='answer-label-1772706' 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-2' style=';'><div id='questionWrap-2'  class='   watupro-question-id-458567'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>A company wants to use generative AI to increase developer productivity and software development. <br \/>\r<br>The company wants to use Amazon Q Developer. <br \/>\r<br>What can Amazon Q Developer do to help the company meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_2' value='458567' \/><input type='hidden' id='answerType458567' 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-458567[]' id='answer-id-1772707' class='answer   answerof-458567 ' value='1772707'   \/><label for='answer-id-1772707' id='answer-label-1772707' class=' answer'><span>Create software snippets, reference tracking, and open-source license tracking.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458567[]' id='answer-id-1772708' class='answer   answerof-458567 ' value='1772708'   \/><label for='answer-id-1772708' id='answer-label-1772708' class=' answer'><span>Run an application without provisioning or managing servers.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458567[]' id='answer-id-1772709' class='answer   answerof-458567 ' value='1772709'   \/><label for='answer-id-1772709' id='answer-label-1772709' class=' answer'><span>Enable voice commands for coding and providing natural language search.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458567[]' id='answer-id-1772710' class='answer   answerof-458567 ' value='1772710'   \/><label for='answer-id-1772710' id='answer-label-1772710' class=' answer'><span>Convert audio files to text documents by using ML models.<\/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-458568'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>A company wants to deploy a conversational chatbot to answer customer questions. The chatbot is based on a fine-tuned Amazon SageMaker JumpStart model. The application must comply with multiple regulatory frameworks. <br \/>\r<br>Which capabilities can the company show compliance for? (Select TWO.)<\/div><input type='hidden' name='question_id[]' id='qID_3' value='458568' \/><input type='hidden' id='answerType458568' 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-458568[]' id='answer-id-1772711' class='answer   answerof-458568 ' value='1772711'   \/><label for='answer-id-1772711' id='answer-label-1772711' class=' answer'><span>Auto scaling inference endpoints<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-458568[]' id='answer-id-1772712' class='answer   answerof-458568 ' value='1772712'   \/><label for='answer-id-1772712' id='answer-label-1772712' class=' answer'><span>Threat detection<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-458568[]' id='answer-id-1772713' class='answer   answerof-458568 ' value='1772713'   \/><label for='answer-id-1772713' id='answer-label-1772713' class=' answer'><span>Data protection<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-458568[]' id='answer-id-1772714' class='answer   answerof-458568 ' value='1772714'   \/><label for='answer-id-1772714' id='answer-label-1772714' class=' answer'><span>Cost optimization<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-458568[]' id='answer-id-1772715' class='answer   answerof-458568 ' value='1772715'   \/><label for='answer-id-1772715' id='answer-label-1772715' class=' answer'><span>Loosely coupled microservices<\/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-458569'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>A company wants to develop an educational game where users answer questions such as the following: &quot;A jar contains six red, four green, and three yellow marbles. <br \/>\r<br>What is the probability of choosing a green marble from the jar?&quot; <br \/>\r<br>Which solution meets these requirements with the LEAST operational overhead?<\/div><input type='hidden' name='question_id[]' id='qID_4' value='458569' \/><input type='hidden' id='answerType458569' 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-458569[]' id='answer-id-1772716' class='answer   answerof-458569 ' value='1772716'   \/><label for='answer-id-1772716' id='answer-label-1772716' class=' answer'><span>Use supervised learning to create a regression model that will predict probability.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458569[]' id='answer-id-1772717' class='answer   answerof-458569 ' value='1772717'   \/><label for='answer-id-1772717' id='answer-label-1772717' class=' answer'><span>Use reinforcement learning to train a model to return the probability.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458569[]' id='answer-id-1772718' class='answer   answerof-458569 ' value='1772718'   \/><label for='answer-id-1772718' id='answer-label-1772718' class=' answer'><span>Use code that will calculate probability by using simple rules and computations.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458569[]' id='answer-id-1772719' class='answer   answerof-458569 ' value='1772719'   \/><label for='answer-id-1772719' id='answer-label-1772719' class=' answer'><span>Use unsupervised learning to create a model that will estimate probability density.<\/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-458570'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/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_5' value='458570' \/><input type='hidden' id='answerType458570' 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-458570[]' id='answer-id-1772720' class='answer   answerof-458570 ' value='1772720'   \/><label for='answer-id-1772720' id='answer-label-1772720' class=' answer'><span>Toxicity<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458570[]' id='answer-id-1853875' class='answer   answerof-458570 ' value='1853875'   \/><label for='answer-id-1853875' id='answer-label-1853875' class=' answer'><span>Hallucinations<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458570[]' id='answer-id-1853876' class='answer   answerof-458570 ' value='1853876'   \/><label for='answer-id-1853876' id='answer-label-1853876' class=' answer'><span>Plagiarism<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458570[]' id='answer-id-1853877' class='answer   answerof-458570 ' value='1853877'   \/><label for='answer-id-1853877' id='answer-label-1853877' class=' answer'><span>Privacy<\/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-458571'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>A company is building a mobile app for users who have a visual impairment. The app must be able to hear what users say and provide voice responses. <br \/>\r<br>Which solution will meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_6' value='458571' \/><input type='hidden' id='answerType458571' 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-458571[]' id='answer-id-1772721' class='answer   answerof-458571 ' value='1772721'   \/><label for='answer-id-1772721' id='answer-label-1772721' class=' answer'><span>Use a deep learning neural network to perform speech recognition.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458571[]' id='answer-id-1772722' class='answer   answerof-458571 ' value='1772722'   \/><label for='answer-id-1772722' id='answer-label-1772722' class=' answer'><span>Build ML models to search for patterns in numeric data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458571[]' id='answer-id-1772723' class='answer   answerof-458571 ' value='1772723'   \/><label for='answer-id-1772723' id='answer-label-1772723' class=' answer'><span>Use generative AI summarization to generate human-like text.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458571[]' id='answer-id-1772724' class='answer   answerof-458571 ' value='1772724'   \/><label for='answer-id-1772724' id='answer-label-1772724' class=' answer'><span>Build custom models for image classification and recognition.<\/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-458572'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/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_7' value='458572' \/><input type='hidden' id='answerType458572' 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-458572[]' id='answer-id-1772725' class='answer   answerof-458572 ' value='1772725'   \/><label for='answer-id-1772725' id='answer-label-1772725' 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-458572[]' id='answer-id-1853878' class='answer   answerof-458572 ' value='1853878'   \/><label for='answer-id-1853878' id='answer-label-1853878' 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-458572[]' id='answer-id-1853879' class='answer   answerof-458572 ' value='1853879'   \/><label for='answer-id-1853879' id='answer-label-1853879' 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-458572[]' id='answer-id-1853880' class='answer   answerof-458572 ' value='1853880'   \/><label for='answer-id-1853880' id='answer-label-1853880' 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-8' style=';'><div id='questionWrap-8'  class='   watupro-question-id-458573'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>An accounting firm wants to implement a large language model (LLM) to automate document processing. The firm must proceed responsibly to avoid potential harms.<br \/>\r\n<br \/>\r\nWhat should the firm do when developing and deploying the LLM? (Select TWO.)<\/div><input type='hidden' name='question_id[]' id='qID_8' value='458573' \/><input type='hidden' id='answerType458573' 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-458573[]' id='answer-id-1772726' class='answer   answerof-458573 ' value='1772726'   \/><label for='answer-id-1772726' id='answer-label-1772726' class=' answer'><span>Include fairness metrics for model evaluation.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-458573[]' id='answer-id-1853881' class='answer   answerof-458573 ' value='1853881'   \/><label for='answer-id-1853881' id='answer-label-1853881' class=' answer'><span>Adjust the temperature parameter of the model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-458573[]' id='answer-id-1853882' class='answer   answerof-458573 ' value='1853882'   \/><label for='answer-id-1853882' id='answer-label-1853882' class=' answer'><span>Modify the training data to mitigate bias.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-458573[]' id='answer-id-1853883' class='answer   answerof-458573 ' value='1853883'   \/><label for='answer-id-1853883' id='answer-label-1853883' class=' answer'><span>Avoid overfitting on the training data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-458573[]' id='answer-id-1853884' class='answer   answerof-458573 ' value='1853884'   \/><label for='answer-id-1853884' id='answer-label-1853884' class=' answer'><span>Apply prompt engineering techniques.<\/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-458574'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data.<br \/>\r\n<br \/>\r\nHow should the AI practitioner prevent responses based on confidential data?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='458574' \/><input type='hidden' id='answerType458574' 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-458574[]' id='answer-id-1772727' class='answer   answerof-458574 ' value='1772727'   \/><label for='answer-id-1772727' id='answer-label-1772727' class=' answer'><span>Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458574[]' id='answer-id-1772728' class='answer   answerof-458574 ' value='1772728'   \/><label for='answer-id-1772728' id='answer-label-1772728' class=' answer'><span>Mask the confidential data in the inference responses by using dynamic data masking.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458574[]' id='answer-id-1772729' class='answer   answerof-458574 ' value='1772729'   \/><label for='answer-id-1772729' id='answer-label-1772729' class=' answer'><span>Encrypt the confidential data in the inference responses by using Amazon SageMaker.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458574[]' id='answer-id-1772730' class='answer   answerof-458574 ' value='1772730'   \/><label for='answer-id-1772730' id='answer-label-1772730' class=' answer'><span>Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).<\/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-458575'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/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_10' value='458575' \/><input type='hidden' id='answerType458575' 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-458575[]' id='answer-id-1772731' class='answer   answerof-458575 ' value='1772731'   \/><label for='answer-id-1772731' id='answer-label-1772731' class=' answer'><span>Supervised learning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458575[]' id='answer-id-1853885' class='answer   answerof-458575 ' value='1853885'   \/><label for='answer-id-1853885' id='answer-label-1853885' class=' answer'><span>Unsupervised learning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458575[]' id='answer-id-1853886' class='answer   answerof-458575 ' value='1853886'   \/><label for='answer-id-1853886' id='answer-label-1853886' class=' answer'><span>Reinforcement learning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458575[]' id='answer-id-1853887' class='answer   answerof-458575 ' value='1853887'   \/><label for='answer-id-1853887' id='answer-label-1853887' 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-11' style=';'><div id='questionWrap-11'  class='   watupro-question-id-458576'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/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_11' value='458576' \/><input type='hidden' id='answerType458576' 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-458576[]' id='answer-id-1772732' class='answer   answerof-458576 ' value='1772732'   \/><label for='answer-id-1772732' id='answer-label-1772732' class=' answer'><span>Multi-modal embedding model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458576[]' id='answer-id-1772733' class='answer   answerof-458576 ' value='1772733'   \/><label for='answer-id-1772733' id='answer-label-1772733' class=' answer'><span>Text embedding model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458576[]' id='answer-id-1772734' class='answer   answerof-458576 ' value='1772734'   \/><label for='answer-id-1772734' id='answer-label-1772734' class=' answer'><span>Multi-modal generation model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458576[]' id='answer-id-1772735' class='answer   answerof-458576 ' value='1772735'   \/><label for='answer-id-1772735' id='answer-label-1772735' class=' answer'><span>Image generation model<\/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-458577'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/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_12' value='458577' \/><input type='hidden' id='answerType458577' 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-458577[]' id='answer-id-1772736' class='answer   answerof-458577 ' value='1772736'   \/><label for='answer-id-1772736' id='answer-label-1772736' class=' answer'><span>AWS PrivateLink<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458577[]' id='answer-id-1772737' class='answer   answerof-458577 ' value='1772737'   \/><label for='answer-id-1772737' id='answer-label-1772737' class=' answer'><span>Amazon Macie<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458577[]' id='answer-id-1772738' class='answer   answerof-458577 ' value='1772738'   \/><label for='answer-id-1772738' id='answer-label-1772738' class=' answer'><span>Amazon CloudFront<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458577[]' id='answer-id-1772739' class='answer   answerof-458577 ' value='1772739'   \/><label for='answer-id-1772739' id='answer-label-1772739' class=' answer'><span>Internet gateway<\/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-458578'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/span>What does an F1 score measure in the context of foundation model (FM) performance?<\/div><input type='hidden' name='question_id[]' id='qID_13' value='458578' \/><input type='hidden' id='answerType458578' 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-458578[]' id='answer-id-1772740' class='answer   answerof-458578 ' value='1772740'   \/><label for='answer-id-1772740' id='answer-label-1772740' class=' answer'><span>Model precision and recall<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458578[]' id='answer-id-1772741' class='answer   answerof-458578 ' value='1772741'   \/><label for='answer-id-1772741' id='answer-label-1772741' class=' answer'><span>Model speed in generating responses<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458578[]' id='answer-id-1772742' class='answer   answerof-458578 ' value='1772742'   \/><label for='answer-id-1772742' id='answer-label-1772742' class=' answer'><span>Financial cost of operating the model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458578[]' id='answer-id-1772743' class='answer   answerof-458578 ' value='1772743'   \/><label for='answer-id-1772743' id='answer-label-1772743' 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-14' style=';'><div id='questionWrap-14'  class='   watupro-question-id-458579'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/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_14' value='458579' \/><input type='hidden' id='answerType458579' 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-458579[]' id='answer-id-1772744' class='answer   answerof-458579 ' value='1772744'   \/><label for='answer-id-1772744' id='answer-label-1772744' 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-458579[]' id='answer-id-1772745' class='answer   answerof-458579 ' value='1772745'   \/><label for='answer-id-1772745' id='answer-label-1772745' 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-458579[]' id='answer-id-1772746' class='answer   answerof-458579 ' value='1772746'   \/><label for='answer-id-1772746' id='answer-label-1772746' 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-458579[]' id='answer-id-1772747' class='answer   answerof-458579 ' value='1772747'   \/><label for='answer-id-1772747' id='answer-label-1772747' class=' answer'><span>Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base to \r\nprovide context when users submit prompts to Amazon Bedrock.<\/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-458580'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>A company wants to use a pre-trained generative AI model to generate content for its marketing campaigns. The company needs to ensure that the generated content aligns with the company's brand voice and messaging requirements.<br \/>\r\n<br \/>\r\nWhich solution meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_15' value='458580' \/><input type='hidden' id='answerType458580' 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-458580[]' id='answer-id-1772748' class='answer   answerof-458580 ' value='1772748'   \/><label for='answer-id-1772748' id='answer-label-1772748' class=' answer'><span>Optimize the model's architecture and hyperparameters to improve the model's overall performance.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458580[]' id='answer-id-1853888' class='answer   answerof-458580 ' value='1853888'   \/><label for='answer-id-1853888' id='answer-label-1853888' class=' answer'><span>Increase the model's complexity by adding more layers to the model's architecture.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458580[]' id='answer-id-1853889' class='answer   answerof-458580 ' value='1853889'   \/><label for='answer-id-1853889' id='answer-label-1853889' class=' answer'><span>Create effective prompts that provide clear instructions and context to guide the model's generation.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458580[]' id='answer-id-1853890' class='answer   answerof-458580 ' value='1853890'   \/><label for='answer-id-1853890' id='answer-label-1853890' class=' answer'><span>Select a large, diverse dataset to pre-train a new generative model.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-16' style=';'><div id='questionWrap-16'  class='   watupro-question-id-458581'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>A company needs to train an ML model to classify images of different types of animals. The company has a large dataset of labeled images and will not label more data. <br \/>\r<br>Which type of learning should the company use to train the model?<\/div><input type='hidden' name='question_id[]' id='qID_16' value='458581' \/><input type='hidden' id='answerType458581' 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-458581[]' id='answer-id-1772749' class='answer   answerof-458581 ' value='1772749'   \/><label for='answer-id-1772749' id='answer-label-1772749' class=' answer'><span>Supervised learning.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458581[]' id='answer-id-1772750' class='answer   answerof-458581 ' value='1772750'   \/><label for='answer-id-1772750' id='answer-label-1772750' class=' answer'><span>Unsupervised learning.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458581[]' id='answer-id-1772751' class='answer   answerof-458581 ' value='1772751'   \/><label for='answer-id-1772751' id='answer-label-1772751' class=' answer'><span>Reinforcement learning.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458581[]' id='answer-id-1772752' class='answer   answerof-458581 ' value='1772752'   \/><label for='answer-id-1772752' id='answer-label-1772752' class=' answer'><span>Active 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-458582'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>A company wants to build a lead prioritization application for its employees to contact potential customers. The application must give employees the ability to view and adjust the weights assigned to different variables in the model based on domain knowledge and expertise. <br \/>\r<br>Which ML model type meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_17' value='458582' \/><input type='hidden' id='answerType458582' 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-458582[]' id='answer-id-1772753' class='answer   answerof-458582 ' value='1772753'   \/><label for='answer-id-1772753' id='answer-label-1772753' class=' answer'><span>Logistic regression model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458582[]' id='answer-id-1772754' class='answer   answerof-458582 ' value='1772754'   \/><label for='answer-id-1772754' id='answer-label-1772754' class=' answer'><span>Deep learning model built on principal components<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458582[]' id='answer-id-1772755' class='answer   answerof-458582 ' value='1772755'   \/><label for='answer-id-1772755' id='answer-label-1772755' class=' answer'><span>K-nearest neighbors (k-NN) model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458582[]' id='answer-id-1772756' class='answer   answerof-458582 ' value='1772756'   \/><label for='answer-id-1772756' id='answer-label-1772756' class=' answer'><span>Neural network<\/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-458583'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/span>HOTSPOT<br \/>\r\n<br \/>\r\nA company wants to create an application to summarize meetings by using meeting audio recordings.<br \/>\r\n<br \/>\r\nSelect and order the correct steps from the following list to create the application. Each step should be selected one time or not at all. (Select and order THREE.)<br \/>\r\n<br \/>\r\n\u2022 Convert meeting audio recordings to meeting text files by using Amazon Polly.<br \/>\r\n<br \/>\r\n\u2022 Convert meeting audio recordings to meeting text files by using Amazon Transcribe.<br \/>\r\n<br \/>\r\n\u2022 Store meeting audio recordings in an Amazon S3 bucket.<br \/>\r\n<br \/>\r\n\u2022 Store meeting audio recordings in an Amazon Elastic Block Store (Amazon EBS) volume.<br \/>\r\n<br \/>\r\n\u2022 Summarize meeting text files by using Amazon Bedrock.<br \/>\r\n<br \/>\r\n\u2022 Summarize meeting text files by using Amazon Lex.<br \/>\r\n<br \/>\r\n<br \/>\r\n<img loading=\"lazy\" decoding=\"async\" id=\"\u56fe\u7247 6\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2026\/02\/image005-21.jpg\" width=\"581\" height=\"385\" \/><\/div><input type='hidden' name='question_id[]' id='qID_18' value='458583' \/><input type='hidden' id='answerType458583' 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-458583[]' id='answer-id-1772757' class='answer   answerof-458583 ' value='1772757'   \/><label for='answer-id-1772757' id='answer-label-1772757' class=' answer'><span><br><img decoding=\"async\" width=581 height=385 id=\"\u56fe\u7247 5\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2026\/02\/image006-17.jpg\"><br><\/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-458584'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>In which stage of the generative AI model lifecycle are tests performed to examine the model's accuracy?<\/div><input type='hidden' name='question_id[]' id='qID_19' value='458584' \/><input type='hidden' id='answerType458584' 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-458584[]' id='answer-id-1772758' class='answer   answerof-458584 ' value='1772758'   \/><label for='answer-id-1772758' id='answer-label-1772758' class=' answer'><span>Deployment<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458584[]' id='answer-id-1772759' class='answer   answerof-458584 ' value='1772759'   \/><label for='answer-id-1772759' id='answer-label-1772759' class=' answer'><span>Data selection<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458584[]' id='answer-id-1772760' class='answer   answerof-458584 ' value='1772760'   \/><label for='answer-id-1772760' id='answer-label-1772760' class=' answer'><span>Fine-tuning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458584[]' id='answer-id-1772761' class='answer   answerof-458584 ' value='1772761'   \/><label for='answer-id-1772761' id='answer-label-1772761' class=' answer'><span>Evaluation<\/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-458585'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>Which option is a benefit of ongoing pre-training when fine-tuning a foundation model (FM)?<\/div><input type='hidden' name='question_id[]' id='qID_20' value='458585' \/><input type='hidden' id='answerType458585' 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-458585[]' id='answer-id-1772762' class='answer   answerof-458585 ' value='1772762'   \/><label for='answer-id-1772762' id='answer-label-1772762' class=' answer'><span>Helps decrease the model's complexity<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458585[]' id='answer-id-1853891' class='answer   answerof-458585 ' value='1853891'   \/><label for='answer-id-1853891' id='answer-label-1853891' class=' answer'><span>Improves model performance over time<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458585[]' id='answer-id-1853892' class='answer   answerof-458585 ' value='1853892'   \/><label for='answer-id-1853892' id='answer-label-1853892' class=' answer'><span>Decreases the training time requirement<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458585[]' id='answer-id-1853893' class='answer   answerof-458585 ' value='1853893'   \/><label for='answer-id-1853893' id='answer-label-1853893' class=' answer'><span>Optimizes model inference time<\/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-458586'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/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_21' value='458586' \/><input type='hidden' id='answerType458586' 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-458586[]' id='answer-id-1772763' class='answer   answerof-458586 ' value='1772763'   \/><label for='answer-id-1772763' id='answer-label-1772763' class=' answer'><span>Object detection<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458586[]' id='answer-id-1772764' class='answer   answerof-458586 ' value='1772764'   \/><label for='answer-id-1772764' id='answer-label-1772764' class=' answer'><span>Anomaly detection<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458586[]' id='answer-id-1772765' class='answer   answerof-458586 ' value='1772765'   \/><label for='answer-id-1772765' id='answer-label-1772765' class=' answer'><span>Named entity recognition<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458586[]' id='answer-id-1772766' class='answer   answerof-458586 ' value='1772766'   \/><label for='answer-id-1772766' id='answer-label-1772766' class=' answer'><span>Inpainting<\/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-458587'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/span>A medical company is customizing a foundation model (FM) for diagnostic purposes. The company needs the model to be transparent and explainable to meet regulatory requirements.<br \/>\r\n<br \/>\r\nWhich solution will meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_22' value='458587' \/><input type='hidden' id='answerType458587' 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-458587[]' id='answer-id-1772767' class='answer   answerof-458587 ' value='1772767'   \/><label for='answer-id-1772767' id='answer-label-1772767' class=' answer'><span>Configure the security and compliance by using Amazon Inspector.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458587[]' id='answer-id-1853894' class='answer   answerof-458587 ' value='1853894'   \/><label for='answer-id-1853894' id='answer-label-1853894' class=' answer'><span>Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458587[]' id='answer-id-1853895' class='answer   answerof-458587 ' value='1853895'   \/><label for='answer-id-1853895' id='answer-label-1853895' class=' answer'><span>Encrypt and secure training data by using Amazon Macie.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458587[]' id='answer-id-1853896' class='answer   answerof-458587 ' value='1853896'   \/><label for='answer-id-1853896' id='answer-label-1853896' class=' answer'><span>Gather more data. Use Amazon Rekognition to add custom labels to the data.<\/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-458588'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/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 output. <br \/>\r<br>Which ML algorithm meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_23' value='458588' \/><input type='hidden' id='answerType458588' 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-458588[]' id='answer-id-1772768' class='answer   answerof-458588 ' value='1772768'   \/><label for='answer-id-1772768' id='answer-label-1772768' class=' answer'><span>Decision trees<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458588[]' id='answer-id-1772769' class='answer   answerof-458588 ' value='1772769'   \/><label for='answer-id-1772769' id='answer-label-1772769' class=' answer'><span>Linear regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458588[]' id='answer-id-1772770' class='answer   answerof-458588 ' value='1772770'   \/><label for='answer-id-1772770' id='answer-label-1772770' class=' answer'><span>Logistic regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458588[]' id='answer-id-1772771' class='answer   answerof-458588 ' value='1772771'   \/><label for='answer-id-1772771' id='answer-label-1772771' class=' answer'><span>Neural networks<\/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-458589'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/span>A social media company wants to use a large language model (LLM) for content moderation. The company wants to evaluate the LLM outputs for bias and potential discrimination against specific groups or individuals. <br \/>\r<br>Which data source should the company use to evaluate the LLM outputs with the LEAST administrative effort?<\/div><input type='hidden' name='question_id[]' id='qID_24' value='458589' \/><input type='hidden' id='answerType458589' 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-458589[]' id='answer-id-1772772' class='answer   answerof-458589 ' value='1772772'   \/><label for='answer-id-1772772' id='answer-label-1772772' class=' answer'><span>User-generated content<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458589[]' id='answer-id-1772773' class='answer   answerof-458589 ' value='1772773'   \/><label for='answer-id-1772773' id='answer-label-1772773' class=' answer'><span>Moderation logs<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458589[]' id='answer-id-1772774' class='answer   answerof-458589 ' value='1772774'   \/><label for='answer-id-1772774' id='answer-label-1772774' class=' answer'><span>Content moderation guidelines<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458589[]' id='answer-id-1772775' class='answer   answerof-458589 ' value='1772775'   \/><label for='answer-id-1772775' id='answer-label-1772775' class=' answer'><span>Benchmark datasets<\/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-458590'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/span>A customer service team is developing an application to analyze customer feedback and automatically classify the feedback into different categories. The categories include product quality, customer service, and delivery experience. <br \/>\r<br>Which AI concept does this scenario present?<\/div><input type='hidden' name='question_id[]' id='qID_25' value='458590' \/><input type='hidden' id='answerType458590' 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-458590[]' id='answer-id-1772776' class='answer   answerof-458590 ' value='1772776'   \/><label for='answer-id-1772776' id='answer-label-1772776' class=' answer'><span>Computer vision<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458590[]' id='answer-id-1772777' class='answer   answerof-458590 ' value='1772777'   \/><label for='answer-id-1772777' id='answer-label-1772777' class=' answer'><span>Natural language processing (NLP)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458590[]' id='answer-id-1772778' class='answer   answerof-458590 ' value='1772778'   \/><label for='answer-id-1772778' id='answer-label-1772778' class=' answer'><span>Recommendation systems<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458590[]' id='answer-id-1772779' class='answer   answerof-458590 ' value='1772779'   \/><label for='answer-id-1772779' id='answer-label-1772779' class=' answer'><span>Fraud detection<\/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-458591'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/span>A company wants to fine-tune an ML model that is hosted on Amazon Bedrock. The company wants to use its own sensitive data that is stored in private databases in a VPC. The data needs to stay within the company's private network. <br \/>\r<br>Which solution will meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_26' value='458591' \/><input type='hidden' id='answerType458591' 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-458591[]' id='answer-id-1772780' class='answer   answerof-458591 ' value='1772780'   \/><label for='answer-id-1772780' id='answer-label-1772780' class=' answer'><span>Restrict access to Amazon Bedrock by using an AWS Identity and Access Management (IAM) service role.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458591[]' id='answer-id-1772781' class='answer   answerof-458591 ' value='1772781'   \/><label for='answer-id-1772781' id='answer-label-1772781' class=' answer'><span>Restrict access to Amazon Bedrock by using an AWS Identity and Access Management (IAM) resource policy.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458591[]' id='answer-id-1772782' class='answer   answerof-458591 ' value='1772782'   \/><label for='answer-id-1772782' id='answer-label-1772782' class=' answer'><span>Use AWS PrivateLink to connect the VPC and Amazon Bedrock.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458591[]' id='answer-id-1772783' class='answer   answerof-458591 ' value='1772783'   \/><label for='answer-id-1772783' id='answer-label-1772783' class=' answer'><span>Use AWS Key Management Service (AWS KMS) keys to encrypt the data.<\/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-458592'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/span>An airline company wants to build a conversational AI assistant to answer customer questions about flight schedules, booking, and payments. The company wants to use large language models (LLMs) and a knowledge base to create a text-based chatbot interface. <br \/>\r<br>Which solution will meet these requirements with the LEAST development effort?<\/div><input type='hidden' name='question_id[]' id='qID_27' value='458592' \/><input type='hidden' id='answerType458592' 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-458592[]' id='answer-id-1772784' class='answer   answerof-458592 ' value='1772784'   \/><label for='answer-id-1772784' id='answer-label-1772784' class=' answer'><span>Train models on Amazon SageMaker Autopilot.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458592[]' id='answer-id-1772785' class='answer   answerof-458592 ' value='1772785'   \/><label for='answer-id-1772785' id='answer-label-1772785' class=' answer'><span>Develop a Retrieval Augmented Generation (RAG) agent by using Amazon Bedrock.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458592[]' id='answer-id-1772786' class='answer   answerof-458592 ' value='1772786'   \/><label for='answer-id-1772786' id='answer-label-1772786' class=' answer'><span>Create a Python application by using Amazon Q Developer.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458592[]' id='answer-id-1772787' class='answer   answerof-458592 ' value='1772787'   \/><label for='answer-id-1772787' id='answer-label-1772787' class=' answer'><span>Fine-tune models on Amazon SageMaker Jumpstart.<\/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-458593'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/span>A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls.<br \/>\r\n<br \/>\r\nWhich solution meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_28' value='458593' \/><input type='hidden' id='answerType458593' 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-458593[]' id='answer-id-1772788' class='answer   answerof-458593 ' value='1772788'   \/><label for='answer-id-1772788' id='answer-label-1772788' class=' answer'><span>Build a conversational chatbot by using Amazon Lex.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458593[]' id='answer-id-1853897' class='answer   answerof-458593 ' value='1853897'   \/><label for='answer-id-1853897' id='answer-label-1853897' class=' answer'><span>Transcribe call recordings by using Amazon Transcribe.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458593[]' id='answer-id-1853898' class='answer   answerof-458593 ' value='1853898'   \/><label for='answer-id-1853898' id='answer-label-1853898' class=' answer'><span>Extract information from call recordings by using Amazon SageMaker Model Monitor.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458593[]' id='answer-id-1853899' class='answer   answerof-458593 ' value='1853899'   \/><label for='answer-id-1853899' id='answer-label-1853899' class=' answer'><span>Create classification labels by using Amazon Comprehend.<\/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-458594'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>A company wants to create a new solution by using AWS Glue. The company has minimal programming experience with AWS Glue. <br \/>\r<br>Which AWS service can help the company use AWS Glue?<\/div><input type='hidden' name='question_id[]' id='qID_29' value='458594' \/><input type='hidden' id='answerType458594' 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-458594[]' id='answer-id-1772789' class='answer   answerof-458594 ' value='1772789'   \/><label for='answer-id-1772789' id='answer-label-1772789' class=' answer'><span>Amazon Q Developer<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458594[]' id='answer-id-1772790' class='answer   answerof-458594 ' value='1772790'   \/><label for='answer-id-1772790' id='answer-label-1772790' class=' answer'><span>AWS Config<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458594[]' id='answer-id-1772791' class='answer   answerof-458594 ' value='1772791'   \/><label for='answer-id-1772791' id='answer-label-1772791' class=' answer'><span>Amazon Personalize<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458594[]' id='answer-id-1772792' class='answer   answerof-458594 ' value='1772792'   \/><label for='answer-id-1772792' id='answer-label-1772792' class=' answer'><span>Amazon Comprehend<\/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-458595'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/span>A company is training a foundation model (FM). The company wants to increase the accuracy of the model up to a specific acceptance level. <br \/>\r<br>Which solution will meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_30' value='458595' \/><input type='hidden' id='answerType458595' 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-458595[]' id='answer-id-1772793' class='answer   answerof-458595 ' value='1772793'   \/><label for='answer-id-1772793' id='answer-label-1772793' class=' answer'><span>Decrease the batch size.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458595[]' id='answer-id-1772794' class='answer   answerof-458595 ' value='1772794'   \/><label for='answer-id-1772794' id='answer-label-1772794' class=' answer'><span>Increase the epochs.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458595[]' id='answer-id-1772795' class='answer   answerof-458595 ' value='1772795'   \/><label for='answer-id-1772795' id='answer-label-1772795' class=' answer'><span>Decrease the epochs.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458595[]' id='answer-id-1772796' class='answer   answerof-458595 ' value='1772796'   \/><label for='answer-id-1772796' id='answer-label-1772796' class=' answer'><span>Increase the temperature parameter.<\/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-458596'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>31. <\/span>A company has a database of petabytes of unstructured data from internal sources. The company wants to transform this data into a structured format so that its data scientists can perform machine learning (ML) tasks.<br \/>\r\n<br \/>\r\nWhich service will meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_31' value='458596' \/><input type='hidden' id='answerType458596' 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-458596[]' id='answer-id-1772797' class='answer   answerof-458596 ' value='1772797'   \/><label for='answer-id-1772797' id='answer-label-1772797' class=' answer'><span>Amazon Lex<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458596[]' id='answer-id-1853900' class='answer   answerof-458596 ' value='1853900'   \/><label for='answer-id-1853900' id='answer-label-1853900' class=' answer'><span>Amazon Rekognition<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458596[]' id='answer-id-1853901' class='answer   answerof-458596 ' value='1853901'   \/><label for='answer-id-1853901' id='answer-label-1853901' class=' answer'><span>Amazon Kinesis Data Streams<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458596[]' id='answer-id-1853902' class='answer   answerof-458596 ' value='1853902'   \/><label for='answer-id-1853902' id='answer-label-1853902' class=' answer'><span>AWS Glue<\/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-458597'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>32. <\/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_32' value='458597' \/><input type='hidden' id='answerType458597' 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-458597[]' id='answer-id-1772798' class='answer   answerof-458597 ' value='1772798'   \/><label for='answer-id-1772798' id='answer-label-1772798' class=' answer'><span>Amazon SageMaker Feature Store<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458597[]' id='answer-id-1772799' class='answer   answerof-458597 ' value='1772799'   \/><label for='answer-id-1772799' id='answer-label-1772799' class=' answer'><span>Amazon SageMaker Data Wrangler<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458597[]' id='answer-id-1772800' class='answer   answerof-458597 ' value='1772800'   \/><label for='answer-id-1772800' id='answer-label-1772800' class=' answer'><span>Amazon SageMaker Clarify<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458597[]' id='answer-id-1772801' class='answer   answerof-458597 ' value='1772801'   \/><label for='answer-id-1772801' id='answer-label-1772801' class=' answer'><span>Amazon SageMaker Model Cards<\/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-458598'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>33. <\/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_33' value='458598' \/><input type='hidden' id='answerType458598' 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-458598[]' id='answer-id-1772802' class='answer   answerof-458598 ' value='1772802'   \/><label for='answer-id-1772802' id='answer-label-1772802' 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-458598[]' id='answer-id-1772803' class='answer   answerof-458598 ' value='1772803'   \/><label for='answer-id-1772803' id='answer-label-1772803' class=' answer'><span>Enable invocation logging in Amazon Bedrock.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458598[]' id='answer-id-1772804' class='answer   answerof-458598 ' value='1772804'   \/><label for='answer-id-1772804' id='answer-label-1772804' 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-458598[]' id='answer-id-1772805' class='answer   answerof-458598 ' value='1772805'   \/><label for='answer-id-1772805' id='answer-label-1772805' 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-34' style=';'><div id='questionWrap-34'  class='   watupro-question-id-458599'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>34. <\/span>A company is building an application that needs to generate synthetic data that is based on existing data. <br \/>\r<br>Which type of model can the company use to meet this requirement?<\/div><input type='hidden' name='question_id[]' id='qID_34' value='458599' \/><input type='hidden' id='answerType458599' 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-458599[]' id='answer-id-1772806' class='answer   answerof-458599 ' value='1772806'   \/><label for='answer-id-1772806' id='answer-label-1772806' class=' answer'><span>Generative adversarial network (GAN)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458599[]' id='answer-id-1772807' class='answer   answerof-458599 ' value='1772807'   \/><label for='answer-id-1772807' id='answer-label-1772807' class=' answer'><span>XGBoost<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458599[]' id='answer-id-1772808' class='answer   answerof-458599 ' value='1772808'   \/><label for='answer-id-1772808' id='answer-label-1772808' class=' answer'><span>Residual neural network<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458599[]' id='answer-id-1772809' class='answer   answerof-458599 ' value='1772809'   \/><label for='answer-id-1772809' id='answer-label-1772809' class=' answer'><span>WaveNet<\/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-458600'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>35. <\/span>A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. <br \/>\r<br>The company wants to classify the sentiment of text passages as positive or negative. <br \/>\r<br>Which prompt engineering strategy meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_35' value='458600' \/><input type='hidden' id='answerType458600' 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-458600[]' id='answer-id-1772810' class='answer   answerof-458600 ' value='1772810'   \/><label for='answer-id-1772810' id='answer-label-1772810' class=' answer'><span>Provide examples of text passages with corresponding positive or negative labels in the prompt followed by the new text passage to be classified.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458600[]' id='answer-id-1772811' class='answer   answerof-458600 ' value='1772811'   \/><label for='answer-id-1772811' id='answer-label-1772811' class=' answer'><span>Provide a detailed explanation of sentiment analysis and how LLMs work in the prompt.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458600[]' id='answer-id-1772812' class='answer   answerof-458600 ' value='1772812'   \/><label for='answer-id-1772812' id='answer-label-1772812' class=' answer'><span>Provide the new text passage to be classified without any additional context or examples.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458600[]' id='answer-id-1772813' class='answer   answerof-458600 ' value='1772813'   \/><label for='answer-id-1772813' id='answer-label-1772813' class=' answer'><span>Provide the new text passage with a few examples of unrelated tasks, such as text summarization or question answering.<\/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-458601'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>36. <\/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_36' value='458601' \/><input type='hidden' id='answerType458601' 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-458601[]' id='answer-id-1772814' class='answer   answerof-458601 ' value='1772814'   \/><label for='answer-id-1772814' id='answer-label-1772814' class=' answer'><span>Training<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458601[]' id='answer-id-1853903' class='answer   answerof-458601 ' value='1853903'   \/><label for='answer-id-1853903' id='answer-label-1853903' class=' answer'><span>Inference<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458601[]' id='answer-id-1853904' class='answer   answerof-458601 ' value='1853904'   \/><label for='answer-id-1853904' id='answer-label-1853904' class=' answer'><span>Model deployment<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458601[]' id='answer-id-1853905' class='answer   answerof-458601 ' value='1853905'   \/><label for='answer-id-1853905' id='answer-label-1853905' class=' answer'><span>Bias correction<\/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-458602'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>37. <\/span>A security company is using Amazon Bedrock to run foundation models (FMs). The company wants to ensure that only authorized users invoke the models. The company needs to identify any unauthorized access attempts to set appropriate AWS Identity and Access Management (IAM) policies and roles for future iterations of the FMs.<br \/>\r\n<br \/>\r\nWhich AWS service should the company use to identify unauthorized users that are trying to access Amazon Bedrock?<\/div><input type='hidden' name='question_id[]' id='qID_37' value='458602' \/><input type='hidden' id='answerType458602' 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-458602[]' id='answer-id-1772815' class='answer   answerof-458602 ' value='1772815'   \/><label for='answer-id-1772815' id='answer-label-1772815' class=' answer'><span>AWS Audit Manager<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458602[]' id='answer-id-1853906' class='answer   answerof-458602 ' value='1853906'   \/><label for='answer-id-1853906' id='answer-label-1853906' class=' answer'><span>AWS CloudTrail<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458602[]' id='answer-id-1853907' class='answer   answerof-458602 ' value='1853907'   \/><label for='answer-id-1853907' id='answer-label-1853907' class=' answer'><span>Amazon Fraud Detector<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458602[]' id='answer-id-1853908' class='answer   answerof-458602 ' value='1853908'   \/><label for='answer-id-1853908' id='answer-label-1853908' class=' answer'><span>AWS Trusted Advisor<\/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-458603'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>38. <\/span>A company is using a pre-trained large language model (LLM) to build a chatbot for product recommendations. The company needs the LLM outputs to be short and written in a specific language. <br \/>\r<br>Which solution will align the LLM response quality with the company's expectations?<\/div><input type='hidden' name='question_id[]' id='qID_38' value='458603' \/><input type='hidden' id='answerType458603' 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-458603[]' id='answer-id-1772816' class='answer   answerof-458603 ' value='1772816'   \/><label for='answer-id-1772816' id='answer-label-1772816' class=' answer'><span>Adjust the prompt.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458603[]' id='answer-id-1772817' class='answer   answerof-458603 ' value='1772817'   \/><label for='answer-id-1772817' id='answer-label-1772817' class=' answer'><span>Choose an LLM of a different size.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458603[]' id='answer-id-1772818' class='answer   answerof-458603 ' value='1772818'   \/><label for='answer-id-1772818' id='answer-label-1772818' class=' answer'><span>Increase the temperature.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458603[]' id='answer-id-1772819' class='answer   answerof-458603 ' value='1772819'   \/><label for='answer-id-1772819' id='answer-label-1772819' class=' answer'><span>Increase the Top K value.<\/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-458604'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>39. <\/span>A company built an AI-powered resume screening system. The company used a large dataset to train the model. The dataset contained resumes that were not representative of all demographics. <br \/>\r<br>Which core dimension of responsible AI does this scenario present?<\/div><input type='hidden' name='question_id[]' id='qID_39' value='458604' \/><input type='hidden' id='answerType458604' 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-458604[]' id='answer-id-1772820' class='answer   answerof-458604 ' value='1772820'   \/><label for='answer-id-1772820' id='answer-label-1772820' class=' answer'><span>Fairness.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458604[]' id='answer-id-1772821' class='answer   answerof-458604 ' value='1772821'   \/><label for='answer-id-1772821' id='answer-label-1772821' class=' answer'><span>Explainability.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458604[]' id='answer-id-1772822' class='answer   answerof-458604 ' value='1772822'   \/><label for='answer-id-1772822' id='answer-label-1772822' class=' answer'><span>Privacy and security.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458604[]' id='answer-id-1772823' class='answer   answerof-458604 ' value='1772823'   \/><label for='answer-id-1772823' id='answer-label-1772823' class=' answer'><span>Transparency.<\/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-458605'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>40. <\/span>Which functionality does Amazon SageMaker Clarify provide?<\/div><input type='hidden' name='question_id[]' id='qID_40' value='458605' \/><input type='hidden' id='answerType458605' 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-458605[]' id='answer-id-1772824' class='answer   answerof-458605 ' value='1772824'   \/><label for='answer-id-1772824' id='answer-label-1772824' 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-458605[]' id='answer-id-1772825' class='answer   answerof-458605 ' value='1772825'   \/><label for='answer-id-1772825' id='answer-label-1772825' 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-458605[]' id='answer-id-1772826' class='answer   answerof-458605 ' value='1772826'   \/><label for='answer-id-1772826' id='answer-label-1772826' class=' answer'><span>Documents critical details about ML models<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-458605[]' id='answer-id-1772827' class='answer   answerof-458605 ' value='1772827'   \/><label for='answer-id-1772827' id='answer-label-1772827' class=' answer'><span>Identifies potential bias during data preparation<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div style='display:none' id='question-41'>\n\t<div class='question-content'>\n\t\t<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/plugins\/watupro\/img\/loading.gif\" width=\"16\" height=\"16\" alt=\"Loading...\" title=\"Loading...\" \/>&nbsp;Loading...\t<\/div>\n<\/div>\n\n<br \/>\n\t\n\t\t\t<div class=\"watupro_buttons flex \" id=\"watuPROButtons11688\" >\n\t\t  <div id=\"prev-question\" style=\"display:none;\"><input type=\"button\" value=\"&lt; 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   \t \n<\/script>\n","protected":false},"excerpt":{"rendered":"<p>Start your AWS Certified AI Practitioner (AIF-C01) exam preparation with DumpsBase. We have updated the AIF-C01 dumps to V18.02 with 365 exam questions and answers. These questions and answers are updated to align with the latest AWS Certified AI Practitioner exam objectives, helping you validate your foundational knowledge of artificial intelligence, machine learning, and generative [&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":[19044],"class_list":["post-125828","post","type-post","status-publish","format-standard","hentry","category-amazon","category-aws-certified-ai-practitioner","tag-aif-c01"],"_links":{"self":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/125828","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=125828"}],"version-history":[{"count":1,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/125828\/revisions"}],"predecessor-version":[{"id":125829,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/125828\/revisions\/125829"}],"wp:attachment":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/media?parent=125828"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/categories?post=125828"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/tags?post=125828"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}