{"id":103662,"date":"2025-06-10T03:43:13","date_gmt":"2025-06-10T03:43:13","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=103662"},"modified":"2025-06-10T03:43:13","modified_gmt":"2025-06-10T03:43:13","slug":"aws-aif-c01-dumps-v12-02-are-available-to-boost-your-chances-for-passing-aws-certified-ai-practitioner-exam-test-55-demo-questions-online-to-verify-the-quality","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/aws-aif-c01-dumps-v12-02-are-available-to-boost-your-chances-for-passing-aws-certified-ai-practitioner-exam-test-55-demo-questions-online-to-verify-the-quality.html","title":{"rendered":"AWS AIF-C01 Dumps (V12.02) Are Available to Boost Your Chances for Passing AWS Certified AI Practitioner Exam &#8211; Test 55 Demo Questions Online to Verify the Quality"},"content":{"rendered":"<p>As a hot AI certification, the AWS Certified AI Practitioner (AIF-C01) becomes more and more popular to enhance your resume and boost your chances for career growth. Using AWS AIF-C01 dumps (V12.02) of DumpsBase provides several advantages:<\/p>\n<ol>\n<li>We offer you authentic, up-to-date questions and answers that closely align with those you will encounter on the actual test, helping you become familiar with the exam format and the types of questions you will face.<\/li>\n<li>The AIF-C01 dumps (V12.02) guarantee extensive coverage of all exam topics, guiding you through every item of the exam topics and ensuring you are fully prepared.<\/li>\n<li>AIF-C01 dumps come in a PDF format and <a href=\"https:\/\/www.dumpsbase.com\/page\/software.html\"><em><strong>a software engine<\/strong><\/em><\/a> to simulate the actual exam conditions, allowing you to assess your knowledge under time pressure.<\/li>\n<\/ol>\n<p>By utilizing DumpsBase&#8217;s AIF-C01 dumps (V12.02), you can confidently prepare for the AWS Certified AI Practitioner exam and improve your chances of success. We share free dumps online, including 55 free demo questions in total, to help you check the quality.<\/p>\n<p><!-- notionvc: 30acbe2e-f622-4690-ab69-0d3d3c90b6f1 --><\/p>\n<h2>Below are the <em><span style=\"background-color: #ffcc00;\">AIF-C01 free demo questions<\/span><\/em> for testing online. Read and test by yourself:<\/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=\"submittingExam10114\" 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-10114\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-10114\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-401724'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/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<br>How should the AI practitioner prevent responses based on confidential data?<\/div><input type='hidden' name='question_id[]' id='qID_1' value='401724' \/><input type='hidden' id='answerType401724' 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-401724[]' id='answer-id-1559229' class='answer   answerof-401724 ' value='1559229'   \/><label for='answer-id-1559229' id='answer-label-1559229' 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-401724[]' id='answer-id-1559230' class='answer   answerof-401724 ' value='1559230'   \/><label for='answer-id-1559230' id='answer-label-1559230' 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-401724[]' id='answer-id-1559231' class='answer   answerof-401724 ' value='1559231'   \/><label for='answer-id-1559231' id='answer-label-1559231' 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-401724[]' id='answer-id-1559232' class='answer   answerof-401724 ' value='1559232'   \/><label for='answer-id-1559232' id='answer-label-1559232' 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-2' style=';'><div id='questionWrap-2'  class='   watupro-question-id-401725'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>Which feature of Amazon OpenSearch Service gives companies the ability to build vector database applications? <br \/>\r<br>A. Integration with Amazon S3 for object storage <br \/>\r<br>B. Support for geospatial indexing and queries <br \/>\r<br>C. Scalable index management and nearest neighbor search capability <br \/>\r<br>D. Ability to perform real-time analysis on streaming data<\/div><input type='hidden' name='question_id[]' id='qID_2' value='401725' \/><input type='hidden' id='answerType401725' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-401725[]' id='textarea_q_401725' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-3' style=';'><div id='questionWrap-3'  class='   watupro-question-id-401726'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>A company wants to display the total sales for its top-selling products across various retail locations in the past 12 months. <br \/>\r<br>Which AWS solution should the company use to automate the generation of graphs? <br \/>\r<br>A. Amazon Q in Amazon EC2 <br \/>\r<br>B. Amazon Q Developer <br \/>\r<br>C. Amazon Q in Amazon QuickSight <br \/>\r<br>D. Amazon Q in AWS Chatbot<\/div><input type='hidden' name='question_id[]' id='qID_3' value='401726' \/><input type='hidden' id='answerType401726' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-401726[]' id='textarea_q_401726' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-4' style=';'><div id='questionWrap-4'  class='   watupro-question-id-401727'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>A company wants to build an interactive application for children that generates new stories based on classic stories. The company wants to use Amazon Bedrock and needs to ensure that the results and topics are appropriate for children. <br \/>\r<br>Which AWS service or feature will meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_4' value='401727' \/><input type='hidden' id='answerType401727' 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-401727[]' id='answer-id-1559235' class='answer   answerof-401727 ' value='1559235'   \/><label for='answer-id-1559235' id='answer-label-1559235' class=' answer'><span>Amazon Rekognition<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401727[]' id='answer-id-1559236' class='answer   answerof-401727 ' value='1559236'   \/><label for='answer-id-1559236' id='answer-label-1559236' class=' answer'><span>Amazon Bedrock playgrounds<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401727[]' id='answer-id-1559237' class='answer   answerof-401727 ' value='1559237'   \/><label for='answer-id-1559237' id='answer-label-1559237' class=' answer'><span>Guardrails for Amazon Bedrock<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401727[]' id='answer-id-1559238' class='answer   answerof-401727 ' value='1559238'   \/><label for='answer-id-1559238' id='answer-label-1559238' class=' answer'><span>Agents for Amazon Bedrock<\/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-401728'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>A company has developed an ML model for image classification. The company wants to deploy the model to production so that a web application can use the model. <br \/>\r<br>The company needs to implement a solution to host the model and serve predictions without managing any of the underlying infrastructure. <br \/>\r<br>Which solution will meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_5' value='401728' \/><input type='hidden' id='answerType401728' 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-401728[]' id='answer-id-1559239' class='answer   answerof-401728 ' value='1559239'   \/><label for='answer-id-1559239' id='answer-label-1559239' class=' answer'><span>Use Amazon SageMaker Serverless Inference to deploy the model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401728[]' id='answer-id-1559240' class='answer   answerof-401728 ' value='1559240'   \/><label for='answer-id-1559240' id='answer-label-1559240' class=' answer'><span>Use Amazon CloudFront to deploy the model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401728[]' id='answer-id-1559241' class='answer   answerof-401728 ' value='1559241'   \/><label for='answer-id-1559241' id='answer-label-1559241' class=' answer'><span>Use Amazon API Gateway to host the model and serve predictions.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401728[]' id='answer-id-1559242' class='answer   answerof-401728 ' value='1559242'   \/><label for='answer-id-1559242' id='answer-label-1559242' class=' answer'><span>Use AWS Batch to host the model and serve predictions.<\/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-401729'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/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<br>Which methodology should the company use to meet these requirements? <br \/>\r<br>A. Supervised learning <br \/>\r<br>B. Unsupervised learning <br \/>\r<br>C. Reinforcement learning <br \/>\r<br>D. Reinforcement learning from human feedback (RLHF)<\/div><input type='hidden' name='question_id[]' id='qID_6' value='401729' \/><input type='hidden' id='answerType401729' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-401729[]' id='textarea_q_401729' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-7' style=';'><div id='questionWrap-7'  class='   watupro-question-id-401730'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/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_7' value='401730' \/><input type='hidden' id='answerType401730' 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-401730[]' id='answer-id-1559244' class='answer   answerof-401730 ' value='1559244'   \/><label for='answer-id-1559244' id='answer-label-1559244' class=' answer'><span>Code for model training<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401730[]' id='answer-id-1559245' class='answer   answerof-401730 ' value='1559245'   \/><label for='answer-id-1559245' id='answer-label-1559245' class=' answer'><span>Partial dependence plots (PDPs)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401730[]' id='answer-id-1559246' class='answer   answerof-401730 ' value='1559246'   \/><label for='answer-id-1559246' id='answer-label-1559246' class=' answer'><span>Sample data for training<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401730[]' id='answer-id-1559247' class='answer   answerof-401730 ' value='1559247'   \/><label for='answer-id-1559247' id='answer-label-1559247' class=' answer'><span>Model convergence tables<\/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-401731'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>Which option is a use case for generative AI models?<\/div><input type='hidden' name='question_id[]' id='qID_8' value='401731' \/><input type='hidden' id='answerType401731' 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-401731[]' id='answer-id-1559248' class='answer   answerof-401731 ' value='1559248'   \/><label for='answer-id-1559248' id='answer-label-1559248' 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-401731[]' id='answer-id-1559249' class='answer   answerof-401731 ' value='1559249'   \/><label for='answer-id-1559249' id='answer-label-1559249' 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-401731[]' id='answer-id-1559250' class='answer   answerof-401731 ' value='1559250'   \/><label for='answer-id-1559250' id='answer-label-1559250' 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-401731[]' id='answer-id-1559251' class='answer   answerof-401731 ' value='1559251'   \/><label for='answer-id-1559251' id='answer-label-1559251' 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-9' style=';'><div id='questionWrap-9'  class='   watupro-question-id-401732'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>An AI practitioner is using a large language model (LLM) to create content for marketing campaigns. <br \/>\r<br>The generated content sounds plausible and factual but is incorrect. <br \/>\r<br>Which problem is the LLM having?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='401732' \/><input type='hidden' id='answerType401732' 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-401732[]' id='answer-id-1559252' class='answer   answerof-401732 ' value='1559252'   \/><label for='answer-id-1559252' id='answer-label-1559252' class=' answer'><span>Data leakage<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401732[]' id='answer-id-1559253' class='answer   answerof-401732 ' value='1559253'   \/><label for='answer-id-1559253' id='answer-label-1559253' class=' answer'><span>Hallucination<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401732[]' id='answer-id-1559254' class='answer   answerof-401732 ' value='1559254'   \/><label for='answer-id-1559254' id='answer-label-1559254' class=' answer'><span>Overfitting<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401732[]' id='answer-id-1559255' class='answer   answerof-401732 ' value='1559255'   \/><label for='answer-id-1559255' id='answer-label-1559255' class=' answer'><span>Underfitting<\/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-401733'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/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_10' value='401733' \/><input type='hidden' id='answerType401733' 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-401733[]' id='answer-id-1559256' class='answer   answerof-401733 ' value='1559256'   \/><label for='answer-id-1559256' id='answer-label-1559256' 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-401733[]' id='answer-id-1559257' class='answer   answerof-401733 ' value='1559257'   \/><label for='answer-id-1559257' id='answer-label-1559257' class=' answer'><span>Ensure that the model runs frequently.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-401733[]' id='answer-id-1559258' class='answer   answerof-401733 ' value='1559258'   \/><label for='answer-id-1559258' id='answer-label-1559258' 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-401733[]' id='answer-id-1559259' class='answer   answerof-401733 ' value='1559259'   \/><label for='answer-id-1559259' id='answer-label-1559259' 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-401733[]' id='answer-id-1559260' class='answer   answerof-401733 ' value='1559260'   \/><label for='answer-id-1559260' id='answer-label-1559260' 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-11' style=';'><div id='questionWrap-11'  class='   watupro-question-id-401734'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/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<br>Which solution will meet these requirements? <br \/>\r<br>A. Configure the security and compliance by using Amazon Inspector. <br \/>\r<br>B. Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify. <br \/>\r<br>C. Encrypt and secure training data by using Amazon Macie. <br \/>\r<br>D. Gather more data. Use Amazon Rekognition to add custom labels to the data.<\/div><input type='hidden' name='question_id[]' id='qID_11' value='401734' \/><input type='hidden' id='answerType401734' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-401734[]' id='textarea_q_401734' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-12' style=';'><div id='questionWrap-12'  class='   watupro-question-id-401735'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/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_12' value='401735' \/><input type='hidden' id='answerType401735' 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-401735[]' id='answer-id-1559262' class='answer   answerof-401735 ' value='1559262'   \/><label for='answer-id-1559262' id='answer-label-1559262' 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-401735[]' id='answer-id-1559263' class='answer   answerof-401735 ' value='1559263'   \/><label for='answer-id-1559263' id='answer-label-1559263' 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-401735[]' id='answer-id-1559264' class='answer   answerof-401735 ' value='1559264'   \/><label for='answer-id-1559264' id='answer-label-1559264' class=' answer'><span>Image recognition by using Amazon Rekognition<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401735[]' id='answer-id-1559265' class='answer   answerof-401735 ' value='1559265'   \/><label for='answer-id-1559265' id='answer-label-1559265' 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-13' style=';'><div id='questionWrap-13'  class='   watupro-question-id-401736'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/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<br>Which AWS service should the company use to identify unauthorized users that are trying to access Amazon Bedrock? <br \/>\r<br>A. AWS Audit Manager <br \/>\r<br>B. AWS CloudTrail <br \/>\r<br>C. Amazon Fraud Detector <br \/>\r<br>D. AWS Trusted Advisor<\/div><input type='hidden' name='question_id[]' id='qID_13' value='401736' \/><input type='hidden' id='answerType401736' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-401736[]' id='textarea_q_401736' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-14' style=';'><div id='questionWrap-14'  class='   watupro-question-id-401737'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/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_14' value='401737' \/><input type='hidden' id='answerType401737' 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-401737[]' id='answer-id-1559267' class='answer   answerof-401737 ' value='1559267'   \/><label for='answer-id-1559267' id='answer-label-1559267' class=' answer'><span>Amazon Textract<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401737[]' id='answer-id-1559268' class='answer   answerof-401737 ' value='1559268'   \/><label for='answer-id-1559268' id='answer-label-1559268' class=' answer'><span>Amazon Personalize<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401737[]' id='answer-id-1559269' class='answer   answerof-401737 ' value='1559269'   \/><label for='answer-id-1559269' id='answer-label-1559269' class=' answer'><span>Amazon Lex<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401737[]' id='answer-id-1559270' class='answer   answerof-401737 ' value='1559270'   \/><label for='answer-id-1559270' id='answer-label-1559270' class=' answer'><span>Amazon Transcribe<\/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-401738'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/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_15' value='401738' \/><input type='hidden' id='answerType401738' 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-401738[]' id='answer-id-1559271' class='answer   answerof-401738 ' value='1559271'   \/><label for='answer-id-1559271' id='answer-label-1559271' 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-401738[]' id='answer-id-1559272' class='answer   answerof-401738 ' value='1559272'   \/><label for='answer-id-1559272' id='answer-label-1559272' 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-401738[]' id='answer-id-1559273' class='answer   answerof-401738 ' value='1559273'   \/><label for='answer-id-1559273' id='answer-label-1559273' 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-401738[]' id='answer-id-1559274' class='answer   answerof-401738 ' value='1559274'   \/><label for='answer-id-1559274' id='answer-label-1559274' class=' answer'><span>Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base to provide 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-16' style=';'><div id='questionWrap-16'  class='   watupro-question-id-401739'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>Which term describes the numerical representations of real-world objects and concepts that AI and natural language processing (NLP) models use to improve understanding of textual information?<\/div><input type='hidden' name='question_id[]' id='qID_16' value='401739' \/><input type='hidden' id='answerType401739' 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-401739[]' id='answer-id-1559275' class='answer   answerof-401739 ' value='1559275'   \/><label for='answer-id-1559275' id='answer-label-1559275' class=' answer'><span>Embeddings<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401739[]' id='answer-id-1559276' class='answer   answerof-401739 ' value='1559276'   \/><label for='answer-id-1559276' id='answer-label-1559276' class=' answer'><span>Tokens<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401739[]' id='answer-id-1559277' class='answer   answerof-401739 ' value='1559277'   \/><label for='answer-id-1559277' id='answer-label-1559277' class=' answer'><span>Models<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401739[]' id='answer-id-1559278' class='answer   answerof-401739 ' value='1559278'   \/><label for='answer-id-1559278' id='answer-label-1559278' class=' answer'><span>Binaries<\/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-401740'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/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_17' value='401740' \/><input type='hidden' id='answerType401740' 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-401740[]' id='answer-id-1559279' class='answer   answerof-401740 ' value='1559279'   \/><label for='answer-id-1559279' id='answer-label-1559279' class=' answer'><span>Generative adversarial network (GAN)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401740[]' id='answer-id-1559280' class='answer   answerof-401740 ' value='1559280'   \/><label for='answer-id-1559280' id='answer-label-1559280' class=' answer'><span>XGBoost<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401740[]' id='answer-id-1559281' class='answer   answerof-401740 ' value='1559281'   \/><label for='answer-id-1559281' id='answer-label-1559281' class=' answer'><span>Residual neural network<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401740[]' id='answer-id-1559282' class='answer   answerof-401740 ' value='1559282'   \/><label for='answer-id-1559282' id='answer-label-1559282' class=' answer'><span>WaveNet<\/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-401741'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/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_18' value='401741' \/><input type='hidden' id='answerType401741' 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-401741[]' id='answer-id-1559283' class='answer   answerof-401741 ' value='1559283'   \/><label for='answer-id-1559283' id='answer-label-1559283' 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-401741[]' id='answer-id-1559284' class='answer   answerof-401741 ' value='1559284'   \/><label for='answer-id-1559284' id='answer-label-1559284' 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-401741[]' id='answer-id-1559285' class='answer   answerof-401741 ' value='1559285'   \/><label for='answer-id-1559285' id='answer-label-1559285' 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-401741[]' id='answer-id-1559286' class='answer   answerof-401741 ' value='1559286'   \/><label for='answer-id-1559286' id='answer-label-1559286' 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-19' style=';'><div id='questionWrap-19'  class='   watupro-question-id-401742'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>A company wants to create an application by using Amazon Bedrock. The company has a limited budget and prefers flexibility without long-term commitment. <br \/>\r<br>Which Amazon Bedrock pricing model meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_19' value='401742' \/><input type='hidden' id='answerType401742' 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-401742[]' id='answer-id-1559287' class='answer   answerof-401742 ' value='1559287'   \/><label for='answer-id-1559287' id='answer-label-1559287' class=' answer'><span>On-Demand<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401742[]' id='answer-id-1559288' class='answer   answerof-401742 ' value='1559288'   \/><label for='answer-id-1559288' id='answer-label-1559288' class=' answer'><span>Model customization<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401742[]' id='answer-id-1559289' class='answer   answerof-401742 ' value='1559289'   \/><label for='answer-id-1559289' id='answer-label-1559289' class=' answer'><span>Provisioned Throughput<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401742[]' id='answer-id-1559290' class='answer   answerof-401742 ' value='1559290'   \/><label for='answer-id-1559290' id='answer-label-1559290' class=' answer'><span>Spot Instance<\/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-401743'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model. The company needs to perform analysis on internal data and external data. <br \/>\r<br>Which solution will meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_20' value='401743' \/><input type='hidden' id='answerType401743' 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-401743[]' id='answer-id-1559291' class='answer   answerof-401743 ' value='1559291'   \/><label for='answer-id-1559291' id='answer-label-1559291' class=' answer'><span>Store the data in Amazon S3. Create ML models and demand forecast predictions by using Amazon SageMaker built-in algorithms that use the data from Amazon S3.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401743[]' id='answer-id-1559292' class='answer   answerof-401743 ' value='1559292'   \/><label for='answer-id-1559292' id='answer-label-1559292' class=' answer'><span>Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401743[]' id='answer-id-1559293' class='answer   answerof-401743 ' value='1559293'   \/><label for='answer-id-1559293' id='answer-label-1559293' class=' answer'><span>Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401743[]' id='answer-id-1559294' class='answer   answerof-401743 ' value='1559294'   \/><label for='answer-id-1559294' id='answer-label-1559294' class=' answer'><span>Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from SageMaker Canvas.<\/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-401744'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/span>What are tokens in the context of generative AI models?<\/div><input type='hidden' name='question_id[]' id='qID_21' value='401744' \/><input type='hidden' id='answerType401744' 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-401744[]' id='answer-id-1559295' class='answer   answerof-401744 ' value='1559295'   \/><label for='answer-id-1559295' id='answer-label-1559295' class=' answer'><span>Tokens are the basic units of input and output that a generative AI model operates on, representing words, subwords, or other linguistic units.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401744[]' id='answer-id-1559296' class='answer   answerof-401744 ' value='1559296'   \/><label for='answer-id-1559296' id='answer-label-1559296' class=' answer'><span>Tokens are the mathematical representations of words or concepts used in generative AI models.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401744[]' id='answer-id-1559297' class='answer   answerof-401744 ' value='1559297'   \/><label for='answer-id-1559297' id='answer-label-1559297' class=' answer'><span>Tokens are the pre-trained weights of a generative AI model that are fine-tuned for specific tasks.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401744[]' id='answer-id-1559298' class='answer   answerof-401744 ' value='1559298'   \/><label for='answer-id-1559298' id='answer-label-1559298' class=' answer'><span>Tokens are the specific prompts or instructions given to a generative AI model to generate output.<\/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-401745'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/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_22' value='401745' \/><input type='hidden' id='answerType401745' 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-401745[]' id='answer-id-1559299' class='answer   answerof-401745 ' value='1559299'   \/><label for='answer-id-1559299' id='answer-label-1559299' 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-401745[]' id='answer-id-1559300' class='answer   answerof-401745 ' value='1559300'   \/><label for='answer-id-1559300' id='answer-label-1559300' class=' answer'><span>Enable invocation logging in Amazon Bedrock.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401745[]' id='answer-id-1559301' class='answer   answerof-401745 ' value='1559301'   \/><label for='answer-id-1559301' id='answer-label-1559301' 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-401745[]' id='answer-id-1559302' class='answer   answerof-401745 ' value='1559302'   \/><label for='answer-id-1559302' id='answer-label-1559302' 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-23' style=';'><div id='questionWrap-23'  class='   watupro-question-id-401746'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/span>A company needs to build its own large language model (LLM) based on only the company's private data. The company is concerned about the environmental effect of the training process. <br \/>\r<br>Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?<\/div><input type='hidden' name='question_id[]' id='qID_23' value='401746' \/><input type='hidden' id='answerType401746' 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-401746[]' id='answer-id-1559303' class='answer   answerof-401746 ' value='1559303'   \/><label for='answer-id-1559303' id='answer-label-1559303' class=' answer'><span>Amazon EC2 C series<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401746[]' id='answer-id-1559304' class='answer   answerof-401746 ' value='1559304'   \/><label for='answer-id-1559304' id='answer-label-1559304' class=' answer'><span>Amazon EC2 G series<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401746[]' id='answer-id-1559305' class='answer   answerof-401746 ' value='1559305'   \/><label for='answer-id-1559305' id='answer-label-1559305' class=' answer'><span>Amazon EC2 P series<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401746[]' id='answer-id-1559306' class='answer   answerof-401746 ' value='1559306'   \/><label for='answer-id-1559306' id='answer-label-1559306' class=' answer'><span>Amazon EC2 Trn series<\/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-401747'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/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_24' value='401747' \/><input type='hidden' id='answerType401747' 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-401747[]' id='answer-id-1559307' class='answer   answerof-401747 ' value='1559307'   \/><label for='answer-id-1559307' id='answer-label-1559307' class=' answer'><span>AWS PrivateLink<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401747[]' id='answer-id-1559308' class='answer   answerof-401747 ' value='1559308'   \/><label for='answer-id-1559308' id='answer-label-1559308' class=' answer'><span>Amazon Macie<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401747[]' id='answer-id-1559309' class='answer   answerof-401747 ' value='1559309'   \/><label for='answer-id-1559309' id='answer-label-1559309' class=' answer'><span>Amazon CloudFront<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401747[]' id='answer-id-1559310' class='answer   answerof-401747 ' value='1559310'   \/><label for='answer-id-1559310' id='answer-label-1559310' class=' answer'><span>Internet gateway<\/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-401748'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/span>A company built a deep learning model for object detection and deployed the model to production. <br \/>\r<br>Which AI process occurs when the model analyzes a new image to identify objects? <br \/>\r<br>A. Training <br \/>\r<br>B. Inference <br \/>\r<br>C. Model deployment <br \/>\r<br>D. Bias correction<\/div><input type='hidden' name='question_id[]' id='qID_25' value='401748' \/><input type='hidden' id='answerType401748' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-401748[]' id='textarea_q_401748' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-26' style=';'><div id='questionWrap-26'  class='   watupro-question-id-401749'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/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<br>Which solution will meet this requirement? <br \/>\r<br>A. Use Amazon Inspector to monitor SageMaker Studio. <br \/>\r<br>B. Use Amazon Macie to monitor SageMaker Studio. <br \/>\r<br>C. Configure SageMaker to use a VPC with an S3 endpoint. <br \/>\r<br>D. Configure SageMaker to use S3 Glacier Deep Archive.<\/div><input type='hidden' name='question_id[]' id='qID_26' value='401749' \/><input type='hidden' id='answerType401749' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-401749[]' id='textarea_q_401749' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-27' style=';'><div id='questionWrap-27'  class='   watupro-question-id-401750'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/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<br>Which ML strategy meets these requirements? <br \/>\r<br>A. Increase the number of epochs. <br \/>\r<br>B. Use transfer learning. <br \/>\r<br>C. Decrease the number of epochs. <br \/>\r<br>D. Use unsupervised learning.<\/div><input type='hidden' name='question_id[]' id='qID_27' value='401750' \/><input type='hidden' id='answerType401750' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-401750[]' id='textarea_q_401750' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-28' style=';'><div id='questionWrap-28'  class='   watupro-question-id-401751'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/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<br>Which solution meets these requirements? <br \/>\r<br>A. Build a speech recognition system. <br \/>\r<br>B. Create a natural language processing (NLP) named entity recognition system. <br \/>\r<br>C. Develop an anomaly detection system. <br \/>\r<br>D. Create a fraud forecasting system.<\/div><input type='hidden' name='question_id[]' id='qID_28' value='401751' \/><input type='hidden' id='answerType401751' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-401751[]' id='textarea_q_401751' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-29' style=';'><div id='questionWrap-29'  class='   watupro-question-id-401752'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>A company wants to use a large language model (LLM) to develop a conversational agent. The company needs to prevent the LLM from being manipulated with common prompt engineering techniques to perform undesirable actions or expose sensitive information. <br \/>\r<br>Which action will reduce these risks?<\/div><input type='hidden' name='question_id[]' id='qID_29' value='401752' \/><input type='hidden' id='answerType401752' 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-401752[]' id='answer-id-1559315' class='answer   answerof-401752 ' value='1559315'   \/><label for='answer-id-1559315' id='answer-label-1559315' class=' answer'><span>Create a prompt template that teaches the LLM to detect attack patterns.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401752[]' id='answer-id-1559316' class='answer   answerof-401752 ' value='1559316'   \/><label for='answer-id-1559316' id='answer-label-1559316' class=' answer'><span>Increase the temperature parameter on invocation requests to the LL<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401752[]' id='answer-id-1559317' class='answer   answerof-401752 ' value='1559317'   \/><label for='answer-id-1559317' id='answer-label-1559317' class=' answer'><span>Avoid using LLMs that are not listed in Amazon SageMaker.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401752[]' id='answer-id-1559318' class='answer   answerof-401752 ' value='1559318'   \/><label for='answer-id-1559318' id='answer-label-1559318' class=' answer'><span>Decrease the number of input tokens on invocations of the LL<\/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-401753'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/span>A company is developing a new model to predict the prices of specific items. The model performed well on the training dataset. When the company deployed the model to production, the model's performance decreased significantly. <br \/>\r<br>What should the company do to mitigate this problem?<\/div><input type='hidden' name='question_id[]' id='qID_30' value='401753' \/><input type='hidden' id='answerType401753' 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-401753[]' id='answer-id-1559319' class='answer   answerof-401753 ' value='1559319'   \/><label for='answer-id-1559319' id='answer-label-1559319' class=' answer'><span>Reduce the volume of data that is used in training.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401753[]' id='answer-id-1559320' class='answer   answerof-401753 ' value='1559320'   \/><label for='answer-id-1559320' id='answer-label-1559320' class=' answer'><span>Add hyperparameters to the model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401753[]' id='answer-id-1559321' class='answer   answerof-401753 ' value='1559321'   \/><label for='answer-id-1559321' id='answer-label-1559321' class=' answer'><span>Increase the volume of data that is used in training.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401753[]' id='answer-id-1559322' class='answer   answerof-401753 ' value='1559322'   \/><label for='answer-id-1559322' id='answer-label-1559322' class=' answer'><span>Increase the model training time.<\/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-401754'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>31. <\/span>A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket. The data is encrypted with Amazon S3 managed keys (SSE-S3). <br \/>\r<br>The FM encounters a failure when attempting to access the S3 bucket data. <br \/>\r<br>Which solution will meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_31' value='401754' \/><input type='hidden' id='answerType401754' 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-401754[]' id='answer-id-1559323' class='answer   answerof-401754 ' value='1559323'   \/><label for='answer-id-1559323' id='answer-label-1559323' class=' answer'><span>Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401754[]' id='answer-id-1559324' class='answer   answerof-401754 ' value='1559324'   \/><label for='answer-id-1559324' id='answer-label-1559324' class=' answer'><span>Set the access permissions for the S3 buckets to allow public access to enable access over the internet.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401754[]' id='answer-id-1559325' class='answer   answerof-401754 ' value='1559325'   \/><label for='answer-id-1559325' id='answer-label-1559325' class=' answer'><span>Use prompt engineering techniques to tell the model to look for information in Amazon S3.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401754[]' id='answer-id-1559326' class='answer   answerof-401754 ' value='1559326'   \/><label for='answer-id-1559326' id='answer-label-1559326' class=' answer'><span>Ensure that the S3 data does not contain sensitive information.<\/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-401755'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>32. <\/span>A company has a foundation model (FM) that was customized by using Amazon Bedrock to answer customer queries about products. The company wants to validate the model's responses to new types of queries. The company needs to upload a new dataset that Amazon Bedrock can use for validation. <br \/>\r<br>Which AWS service meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_32' value='401755' \/><input type='hidden' id='answerType401755' 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-401755[]' id='answer-id-1559327' class='answer   answerof-401755 ' value='1559327'   \/><label for='answer-id-1559327' id='answer-label-1559327' class=' answer'><span>Amazon S3<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401755[]' id='answer-id-1559328' class='answer   answerof-401755 ' value='1559328'   \/><label for='answer-id-1559328' id='answer-label-1559328' class=' answer'><span>Amazon Elastic Block Store (Amazon EBS)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401755[]' id='answer-id-1559329' class='answer   answerof-401755 ' value='1559329'   \/><label for='answer-id-1559329' id='answer-label-1559329' class=' answer'><span>Amazon Elastic File System (Amazon EFS)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401755[]' id='answer-id-1559330' class='answer   answerof-401755 ' value='1559330'   \/><label for='answer-id-1559330' id='answer-label-1559330' class=' answer'><span>AWS Snowcone<\/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-401756'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>33. <\/span>A company wants to assess the costs that are associated with using a large language model (LLM) to generate inferences. The company wants to use Amazon Bedrock to build generative AI applications. <br \/>\r<br>Which factor will drive the inference costs?<\/div><input type='hidden' name='question_id[]' id='qID_33' value='401756' \/><input type='hidden' id='answerType401756' 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-401756[]' id='answer-id-1559331' class='answer   answerof-401756 ' value='1559331'   \/><label for='answer-id-1559331' id='answer-label-1559331' class=' answer'><span>Number of tokens consumed<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401756[]' id='answer-id-1559332' class='answer   answerof-401756 ' value='1559332'   \/><label for='answer-id-1559332' id='answer-label-1559332' class=' answer'><span>Temperature value<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401756[]' id='answer-id-1559333' class='answer   answerof-401756 ' value='1559333'   \/><label for='answer-id-1559333' id='answer-label-1559333' class=' answer'><span>Amount of data used to train the LLM<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401756[]' id='answer-id-1559334' class='answer   answerof-401756 ' value='1559334'   \/><label for='answer-id-1559334' id='answer-label-1559334' class=' answer'><span>Total training time<\/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-401757'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>34. <\/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_34' value='401757' \/><input type='hidden' id='answerType401757' 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-401757[]' id='answer-id-1559335' class='answer   answerof-401757 ' value='1559335'   \/><label for='answer-id-1559335' id='answer-label-1559335' class=' answer'><span>AWS Audit Manager<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401757[]' id='answer-id-1559336' class='answer   answerof-401757 ' value='1559336'   \/><label for='answer-id-1559336' id='answer-label-1559336' class=' answer'><span>AWS Artifact<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401757[]' id='answer-id-1559337' class='answer   answerof-401757 ' value='1559337'   \/><label for='answer-id-1559337' id='answer-label-1559337' class=' answer'><span>AWS Trusted Advisor<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401757[]' id='answer-id-1559338' class='answer   answerof-401757 ' value='1559338'   \/><label for='answer-id-1559338' id='answer-label-1559338' class=' answer'><span>AWS Data Exchange<\/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-401758'>\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. The company needs the LLM to produce more consistent responses to the same input prompt. <br \/>\r<br>Which adjustment to an inference parameter should the company make to meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_35' value='401758' \/><input type='hidden' id='answerType401758' 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-401758[]' id='answer-id-1559339' class='answer   answerof-401758 ' value='1559339'   \/><label for='answer-id-1559339' id='answer-label-1559339' class=' answer'><span>Decrease the temperature value<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401758[]' id='answer-id-1559340' class='answer   answerof-401758 ' value='1559340'   \/><label for='answer-id-1559340' id='answer-label-1559340' class=' answer'><span>Increase the temperature value<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401758[]' id='answer-id-1559341' class='answer   answerof-401758 ' value='1559341'   \/><label for='answer-id-1559341' id='answer-label-1559341' class=' answer'><span>Decrease the length of output tokens<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401758[]' id='answer-id-1559342' class='answer   answerof-401758 ' value='1559342'   \/><label for='answer-id-1559342' id='answer-label-1559342' class=' answer'><span>Increase the maximum generation length<\/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-401759'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>36. <\/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_36' value='401759' \/><input type='hidden' id='answerType401759' 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-401759[]' id='answer-id-1559343' class='answer   answerof-401759 ' value='1559343'   \/><label for='answer-id-1559343' id='answer-label-1559343' class=' answer'><span>Use a different FM<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401759[]' id='answer-id-1559344' class='answer   answerof-401759 ' value='1559344'   \/><label for='answer-id-1559344' id='answer-label-1559344' class=' answer'><span>Choose a lower temperature value<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401759[]' id='answer-id-1559345' class='answer   answerof-401759 ' value='1559345'   \/><label for='answer-id-1559345' id='answer-label-1559345' class=' answer'><span>Create an Amazon Bedrock knowledge base<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401759[]' id='answer-id-1559346' class='answer   answerof-401759 ' value='1559346'   \/><label for='answer-id-1559346' id='answer-label-1559346' class=' answer'><span>Enable model invocation logging<\/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-401760'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>37. <\/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_37' value='401760' \/><input type='hidden' id='answerType401760' 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-401760[]' id='answer-id-1559347' class='answer   answerof-401760 ' value='1559347'   \/><label for='answer-id-1559347' id='answer-label-1559347' 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-401760[]' id='answer-id-1559348' class='answer   answerof-401760 ' value='1559348'   \/><label for='answer-id-1559348' id='answer-label-1559348' 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-401760[]' id='answer-id-1559349' class='answer   answerof-401760 ' value='1559349'   \/><label for='answer-id-1559349' id='answer-label-1559349' 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-401760[]' id='answer-id-1559350' class='answer   answerof-401760 ' value='1559350'   \/><label for='answer-id-1559350' id='answer-label-1559350' 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-38' style=';'><div id='questionWrap-38'  class='   watupro-question-id-401761'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>38. <\/span>Which functionality does Amazon SageMaker Clarify provide?<\/div><input type='hidden' name='question_id[]' id='qID_38' value='401761' \/><input type='hidden' id='answerType401761' 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-401761[]' id='answer-id-1559351' class='answer   answerof-401761 ' value='1559351'   \/><label for='answer-id-1559351' id='answer-label-1559351' 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-401761[]' id='answer-id-1559352' class='answer   answerof-401761 ' value='1559352'   \/><label for='answer-id-1559352' id='answer-label-1559352' 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-401761[]' id='answer-id-1559353' class='answer   answerof-401761 ' value='1559353'   \/><label for='answer-id-1559353' id='answer-label-1559353' class=' answer'><span>Documents critical details about ML models<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401761[]' id='answer-id-1559354' class='answer   answerof-401761 ' value='1559354'   \/><label for='answer-id-1559354' id='answer-label-1559354' 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-39' style=';'><div id='questionWrap-39'  class='   watupro-question-id-401762'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>39. <\/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_39' value='401762' \/><input type='hidden' id='answerType401762' 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-401762[]' id='answer-id-1559355' class='answer   answerof-401762 ' value='1559355'   \/><label for='answer-id-1559355' id='answer-label-1559355' class=' answer'><span>Data pre-processing<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401762[]' id='answer-id-1559356' class='answer   answerof-401762 ' value='1559356'   \/><label for='answer-id-1559356' id='answer-label-1559356' class=' answer'><span>Feature engineering<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401762[]' id='answer-id-1559357' class='answer   answerof-401762 ' value='1559357'   \/><label for='answer-id-1559357' id='answer-label-1559357' class=' answer'><span>Exploratory data analysis<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401762[]' id='answer-id-1559358' class='answer   answerof-401762 ' value='1559358'   \/><label for='answer-id-1559358' id='answer-label-1559358' class=' answer'><span>Hyperparameter tuning<\/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-401763'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>40. <\/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<br>Which type of model meets this requirement? <br \/>\r<br>A. Topic modeling <br \/>\r<br>B. Clustering models <br \/>\r<br>C. Prescriptive ML models <br \/>\r<br>D. BERT-based models<\/div><input type='hidden' name='question_id[]' id='qID_40' value='401763' \/><input type='hidden' id='answerType401763' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-401763[]' id='textarea_q_401763' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-41' style=';'><div id='questionWrap-41'  class='   watupro-question-id-401764'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>41. <\/span>A company is building a chatbot to improve user experience. The company is using a large language model (LLM) from Amazon Bedrock for intent detection. The company wants to use few-shot learning to improve intent detection accuracy. <br \/>\r<br>Which additional data does the company need to meet these requirements? <br \/>\r<br>A. Pairs of chatbot responses and correct user intents <br \/>\r<br>B. Pairs of user messages and correct chatbot responses <br \/>\r<br>C. Pairs of user messages and correct user intents <br \/>\r<br>D. Pairs of user intents and correct chatbot responses<\/div><input type='hidden' name='question_id[]' id='qID_41' value='401764' \/><input type='hidden' id='answerType401764' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-401764[]' id='textarea_q_401764' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-42' style=';'><div id='questionWrap-42'  class='   watupro-question-id-401765'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>42. <\/span>A company is building a large language model (LLM) question answering chatbot. The company wants to decrease the number of actions call center employees need to take to respond to customer questions. <br \/>\r<br>Which business objective should the company use to evaluate the effect of the LLM chatbot? <br \/>\r<br>A. Website engagement rate <br \/>\r<br>B. Average call duration <br \/>\r<br>C. Corporate social responsibility <br \/>\r<br>D. Regulatory compliance<\/div><input type='hidden' name='question_id[]' id='qID_42' value='401765' \/><input type='hidden' id='answerType401765' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-401765[]' id='textarea_q_401765' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-43' style=';'><div id='questionWrap-43'  class='   watupro-question-id-401766'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>43. <\/span>A company is using few-shot prompting on a base model that is hosted on Amazon Bedrock. The model currently uses 10 examples in the prompt. The model is invoked once daily and is performing well. The company wants to lower the monthly cost. <br \/>\r<br>Which solution will meet these requirements? <br \/>\r<br>A. Customize the model by using fine-tuning. <br \/>\r<br>B. Decrease the number of tokens in the prompt. <br \/>\r<br>C. Increase the number of tokens in the prompt. <br \/>\r<br>D. Use Provisioned Throughput.<\/div><input type='hidden' name='question_id[]' id='qID_43' value='401766' \/><input type='hidden' id='answerType401766' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-401766[]' id='textarea_q_401766' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-44' style=';'><div id='questionWrap-44'  class='   watupro-question-id-401767'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>44. <\/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<br>What should the firm do when developing and deploying the LLM? (Select TWO.) <br \/>\r<br>A. Include fairness metrics for model evaluation. <br \/>\r<br>B. Adjust the temperature parameter of the model. <br \/>\r<br>C. Modify the training data to mitigate bias. <br \/>\r<br>D. Avoid overfitting on the training data. <br \/>\r<br>E. Apply prompt engineering techniques.<\/div><input type='hidden' name='question_id[]' id='qID_44' value='401767' \/><input type='hidden' id='answerType401767' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-401767[]' id='textarea_q_401767' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-45' style=';'><div id='questionWrap-45'  class='   watupro-question-id-401768'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>45. <\/span>A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly. <br \/>\r<br>Which evaluation metric should the company use to measure the model's performance?<\/div><input type='hidden' name='question_id[]' id='qID_45' value='401768' \/><input type='hidden' id='answerType401768' 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-401768[]' id='answer-id-1559364' class='answer   answerof-401768 ' value='1559364'   \/><label for='answer-id-1559364' id='answer-label-1559364' class=' answer'><span>R-squared score<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401768[]' id='answer-id-1559365' class='answer   answerof-401768 ' value='1559365'   \/><label for='answer-id-1559365' id='answer-label-1559365' class=' answer'><span>Accuracy<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401768[]' id='answer-id-1559366' class='answer   answerof-401768 ' value='1559366'   \/><label for='answer-id-1559366' id='answer-label-1559366' class=' answer'><span>Root mean squared error (RMSE)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401768[]' id='answer-id-1559367' class='answer   answerof-401768 ' value='1559367'   \/><label for='answer-id-1559367' id='answer-label-1559367' class=' answer'><span>Learning rate<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-46' style=';'><div id='questionWrap-46'  class='   watupro-question-id-401769'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>46. <\/span>A large retailer receives thousands of customer support inquiries about products every day. The customer support inquiries need to be processed and responded to quickly. The company wants to implement Agents for Amazon Bedrock. <br \/>\r<br>What are the key benefits of using Amazon Bedrock agents that could help this retailer?<\/div><input type='hidden' name='question_id[]' id='qID_46' value='401769' \/><input type='hidden' id='answerType401769' 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-401769[]' id='answer-id-1559368' class='answer   answerof-401769 ' value='1559368'   \/><label for='answer-id-1559368' id='answer-label-1559368' class=' answer'><span>Generation of custom foundation models (FMs) to predict customer needs<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401769[]' id='answer-id-1559369' class='answer   answerof-401769 ' value='1559369'   \/><label for='answer-id-1559369' id='answer-label-1559369' class=' answer'><span>Automation of repetitive tasks and orchestration of complex workflows<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401769[]' id='answer-id-1559370' class='answer   answerof-401769 ' value='1559370'   \/><label for='answer-id-1559370' id='answer-label-1559370' class=' answer'><span>Automatically calling multiple foundation models (FMs) and consolidating the results<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401769[]' id='answer-id-1559371' class='answer   answerof-401769 ' value='1559371'   \/><label for='answer-id-1559371' id='answer-label-1559371' class=' answer'><span>Selecting the foundation model (FM) based on predefined criteria and metrics<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-47' style=';'><div id='questionWrap-47'  class='   watupro-question-id-401770'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>47. <\/span>A company is training a foundation model (FM). The company wants to increase the accuracy of the <br \/>\r<br>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_47' value='401770' \/><input type='hidden' id='answerType401770' 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-401770[]' id='answer-id-1559372' class='answer   answerof-401770 ' value='1559372'   \/><label for='answer-id-1559372' id='answer-label-1559372' class=' answer'><span>Decrease the batch size.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401770[]' id='answer-id-1559373' class='answer   answerof-401770 ' value='1559373'   \/><label for='answer-id-1559373' id='answer-label-1559373' class=' answer'><span>Increase the epochs.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401770[]' id='answer-id-1559374' class='answer   answerof-401770 ' value='1559374'   \/><label for='answer-id-1559374' id='answer-label-1559374' class=' answer'><span>Decrease the epochs.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401770[]' id='answer-id-1559375' class='answer   answerof-401770 ' value='1559375'   \/><label for='answer-id-1559375' id='answer-label-1559375' class=' answer'><span>Increase the temperature parameter.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-48' style=';'><div id='questionWrap-48'  class='   watupro-question-id-401771'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>48. <\/span>A company has built a chatbot that can respond to natural language questions with images. The company wants to ensure that the chatbot does not return inappropriate or unwanted images. <br \/>\r<br>Which solution will meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_48' value='401771' \/><input type='hidden' id='answerType401771' 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-401771[]' id='answer-id-1559376' class='answer   answerof-401771 ' value='1559376'   \/><label for='answer-id-1559376' id='answer-label-1559376' class=' answer'><span>Implement moderation APIs.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401771[]' id='answer-id-1559377' class='answer   answerof-401771 ' value='1559377'   \/><label for='answer-id-1559377' id='answer-label-1559377' class=' answer'><span>Retrain the model with a general public dataset.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401771[]' id='answer-id-1559378' class='answer   answerof-401771 ' value='1559378'   \/><label for='answer-id-1559378' id='answer-label-1559378' class=' answer'><span>Perform model validation.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401771[]' id='answer-id-1559379' class='answer   answerof-401771 ' value='1559379'   \/><label for='answer-id-1559379' id='answer-label-1559379' class=' answer'><span>Automate user feedback integration.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-49' style=';'><div id='questionWrap-49'  class='   watupro-question-id-401772'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>49. <\/span>A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents. <br \/>\r<br>Which solution meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_49' value='401772' \/><input type='hidden' id='answerType401772' 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-401772[]' id='answer-id-1559380' class='answer   answerof-401772 ' value='1559380'   \/><label for='answer-id-1559380' id='answer-label-1559380' class=' answer'><span>Build an automatic named entity recognition system.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401772[]' id='answer-id-1559381' class='answer   answerof-401772 ' value='1559381'   \/><label for='answer-id-1559381' id='answer-label-1559381' class=' answer'><span>Create a recommendation engine.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401772[]' id='answer-id-1559382' class='answer   answerof-401772 ' value='1559382'   \/><label for='answer-id-1559382' id='answer-label-1559382' class=' answer'><span>Develop a summarization chatbot.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401772[]' id='answer-id-1559383' class='answer   answerof-401772 ' value='1559383'   \/><label for='answer-id-1559383' id='answer-label-1559383' class=' answer'><span>Develop a multi-language translation system.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-50' style=';'><div id='questionWrap-50'  class='   watupro-question-id-401773'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>50. <\/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_50' value='401773' \/><input type='hidden' id='answerType401773' 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-401773[]' id='answer-id-1559384' class='answer   answerof-401773 ' value='1559384'   \/><label for='answer-id-1559384' id='answer-label-1559384' class=' answer'><span>Decision trees<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401773[]' id='answer-id-1559385' class='answer   answerof-401773 ' value='1559385'   \/><label for='answer-id-1559385' id='answer-label-1559385' class=' answer'><span>Linear regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401773[]' id='answer-id-1559386' class='answer   answerof-401773 ' value='1559386'   \/><label for='answer-id-1559386' id='answer-label-1559386' class=' answer'><span>Logistic regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401773[]' id='answer-id-1559387' class='answer   answerof-401773 ' value='1559387'   \/><label for='answer-id-1559387' id='answer-label-1559387' class=' answer'><span>Neural networks<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-51' style=';'><div id='questionWrap-51'  class='   watupro-question-id-401774'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>51. <\/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_51' value='401774' \/><input type='hidden' id='answerType401774' 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-401774[]' id='answer-id-1559388' class='answer   answerof-401774 ' value='1559388'   \/><label for='answer-id-1559388' id='answer-label-1559388' 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-401774[]' id='answer-id-1559389' class='answer   answerof-401774 ' value='1559389'   \/><label for='answer-id-1559389' id='answer-label-1559389' 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-401774[]' id='answer-id-1559390' class='answer   answerof-401774 ' value='1559390'   \/><label for='answer-id-1559390' id='answer-label-1559390' 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-401774[]' id='answer-id-1559391' class='answer   answerof-401774 ' value='1559391'   \/><label for='answer-id-1559391' id='answer-label-1559391' 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-52' style=';'><div id='questionWrap-52'  class='   watupro-question-id-401775'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>52. <\/span>A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. <br \/>\r<br>The company wants to know how much information can fit into one prompt. <br \/>\r<br>Which consideration will inform the company's decision? <br \/>\r<br>A. Temperature <br \/>\r<br>B. Context window <br \/>\r<br>C. Batch size <br \/>\r<br>D. Model size<\/div><input type='hidden' name='question_id[]' id='qID_52' value='401775' \/><input type='hidden' id='answerType401775' value='textarea'><!-- end question-content--><\/div><div class='question-choices '><p><textarea name='answer-401775[]' id='textarea_q_401775' class='watupro-textarea-medium' rows='5' cols='80'><\/textarea>\n<\/p><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-53' style=';'><div id='questionWrap-53'  class='   watupro-question-id-401776'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>53. <\/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_53' value='401776' \/><input type='hidden' id='answerType401776' 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-401776[]' id='answer-id-1559393' class='answer   answerof-401776 ' value='1559393'   \/><label for='answer-id-1559393' id='answer-label-1559393' class=' answer'><span>Confusion matrix<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401776[]' id='answer-id-1559394' class='answer   answerof-401776 ' value='1559394'   \/><label for='answer-id-1559394' id='answer-label-1559394' class=' answer'><span>Correlation matrix<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401776[]' id='answer-id-1559395' class='answer   answerof-401776 ' value='1559395'   \/><label for='answer-id-1559395' id='answer-label-1559395' class=' answer'><span>R2 score<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401776[]' id='answer-id-1559396' class='answer   answerof-401776 ' value='1559396'   \/><label for='answer-id-1559396' id='answer-label-1559396' class=' answer'><span>Mean squared error (MSE)<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-54' style=';'><div id='questionWrap-54'  class='   watupro-question-id-401777'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>54. <\/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_54' value='401777' \/><input type='hidden' id='answerType401777' 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-401777[]' id='answer-id-1559397' class='answer   answerof-401777 ' value='1559397'   \/><label for='answer-id-1559397' id='answer-label-1559397' class=' answer'><span>Data augmentation for imbalanced classes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401777[]' id='answer-id-1559398' class='answer   answerof-401777 ' value='1559398'   \/><label for='answer-id-1559398' id='answer-label-1559398' class=' answer'><span>Model monitoring for class distribution<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401777[]' id='answer-id-1559399' class='answer   answerof-401777 ' value='1559399'   \/><label for='answer-id-1559399' id='answer-label-1559399' class=' answer'><span>Retrieval Augmented Generation (RAG)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401777[]' id='answer-id-1559400' class='answer   answerof-401777 ' value='1559400'   \/><label for='answer-id-1559400' id='answer-label-1559400' class=' answer'><span>Watermark detection for images<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-55' style=';'><div id='questionWrap-55'  class='   watupro-question-id-401778'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>55. <\/span>A company is building an ML model to analyze archived data. The company must perform inference on large datasets that are multiple GBs in size. The company does not need to access the model predictions immediately. <br \/>\r<br>Which Amazon SageMaker inference option will meet these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_55' value='401778' \/><input type='hidden' id='answerType401778' 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-401778[]' id='answer-id-1559401' class='answer   answerof-401778 ' value='1559401'   \/><label for='answer-id-1559401' id='answer-label-1559401' class=' answer'><span>Batch transform<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401778[]' id='answer-id-1559402' class='answer   answerof-401778 ' value='1559402'   \/><label for='answer-id-1559402' id='answer-label-1559402' class=' answer'><span>Real-time inference<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401778[]' id='answer-id-1559403' class='answer   answerof-401778 ' value='1559403'   \/><label for='answer-id-1559403' id='answer-label-1559403' class=' answer'><span>Serverless inference<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-401778[]' id='answer-id-1559404' class='answer   answerof-401778 ' value='1559404'   \/><label for='answer-id-1559404' id='answer-label-1559404' class=' answer'><span>Asynchronous inference<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div style='display:none' id='question-56'>\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=\"watuPROButtons10114\" >\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>As a hot AI certification, the AWS Certified AI Practitioner (AIF-C01) becomes more and more popular to enhance your resume and boost your chances for career growth. Using AWS AIF-C01 dumps (V12.02) of DumpsBase provides several advantages: We offer you authentic, up-to-date questions and answers that closely align with those you will encounter on the [&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":[19044,18227,19045,19046,19047,17612],"class_list":["post-103662","post","type-post","status-publish","format-standard","hentry","category-amazon","category-aws-certified-ai-practitioner","tag-aif-c01","tag-aif-c01-dumps","tag-aif-c01-free-demo-questions","tag-aif-c01-free-dumps","tag-aif-c01-questions-and-answers","tag-aws-certified-ai-practitioner"],"_links":{"self":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/103662","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=103662"}],"version-history":[{"count":1,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/103662\/revisions"}],"predecessor-version":[{"id":103663,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/103662\/revisions\/103663"}],"wp:attachment":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/media?parent=103662"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/categories?post=103662"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/tags?post=103662"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}