{"id":102406,"date":"2025-05-26T06:04:13","date_gmt":"2025-05-26T06:04:13","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=102406"},"modified":"2025-05-26T06:04:13","modified_gmt":"2025-05-26T06:04:13","slug":"reliable-nca-genl-dumps-v8-02-stand-out-with-verified-nvidia-generative-ai-llms-exam-questions-and-answers","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/reliable-nca-genl-dumps-v8-02-stand-out-with-verified-nvidia-generative-ai-llms-exam-questions-and-answers.html","title":{"rendered":"Reliable NCA-GENL Dumps (V8.02) &#8211; Stand Out with Verified NVIDIA Generative AI LLMs Exam Questions and Answers"},"content":{"rendered":"<p>Do you know the NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) certification? <a href=\"https:\/\/www.dumpsbase.com\/news\/AI_Infrastructure_and_Operations_NCA-AIIO_Certification_Exam_Your_Great_NVIDIA_Certification_for_Improving_Yourself.html\"><em><strong>It is an associate-level credential based on the subject of generative AI and large language models, validating the foundational concepts for developing, integrating, and maintaining AI-driven applications using generative AI and large language models (LLMs) with NVIDIA solutions.<\/strong><\/em><\/a> DumpsBase offers comprehensive and reliable NCA-GENL dumps (V8.02) that closely mirror the actual exam pattern. Our expert-designed exam questions and answers ensure that you can effectively prepare for the NVIDIA-Certified Associate: Generative AI and LLMs certification exam. Choose DumpsBase now, our latest NCA-GENL dumps (V8.02) are structured to help you achieve this certification on your first attempt.<\/p>\n<h2>Before getting the reliable NCA-GENL dumps (V8.02), you can <em><span style=\"background-color: #00ff00;\">read the free dumps<\/span><\/em> to verify the quality:<\/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=\"submittingExam10060\" 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-10060\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-10060\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-399723'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>Why do we need positional encoding in transformer-based models?<\/div><input type='hidden' name='question_id[]' id='qID_1' value='399723' \/><input type='hidden' id='answerType399723' 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-399723[]' id='answer-id-1552506' class='answer   answerof-399723 ' value='1552506'   \/><label for='answer-id-1552506' id='answer-label-1552506' class=' answer'><span>To represent the order of elements in a sequence.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399723[]' id='answer-id-1552507' class='answer   answerof-399723 ' value='1552507'   \/><label for='answer-id-1552507' id='answer-label-1552507' class=' answer'><span>To prevent overfitting of the model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399723[]' id='answer-id-1552508' class='answer   answerof-399723 ' value='1552508'   \/><label for='answer-id-1552508' id='answer-label-1552508' class=' answer'><span>To reduce the dimensionality of the input data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399723[]' id='answer-id-1552509' class='answer   answerof-399723 ' value='1552509'   \/><label for='answer-id-1552509' id='answer-label-1552509' class=' answer'><span>To increase the throughput of the model.<\/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-399724'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>What is Retrieval Augmented Generation (RAG)?<\/div><input type='hidden' name='question_id[]' id='qID_2' value='399724' \/><input type='hidden' id='answerType399724' 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-399724[]' id='answer-id-1552510' class='answer   answerof-399724 ' value='1552510'   \/><label for='answer-id-1552510' id='answer-label-1552510' class=' answer'><span>RAG is an architecture used to optimize the output of an LLM by retraining the model with domain-specific data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399724[]' id='answer-id-1552511' class='answer   answerof-399724 ' value='1552511'   \/><label for='answer-id-1552511' id='answer-label-1552511' class=' answer'><span>RAG is a methodology that combines an information retrieval component with a response generator.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399724[]' id='answer-id-1552512' class='answer   answerof-399724 ' value='1552512'   \/><label for='answer-id-1552512' id='answer-label-1552512' class=' answer'><span>RAG is a method for manipulating and generating text-based data using Transformer-based LLMs.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399724[]' id='answer-id-1552513' class='answer   answerof-399724 ' value='1552513'   \/><label for='answer-id-1552513' id='answer-label-1552513' class=' answer'><span>RAG is a technique used to fine-tune pre-trained LLMs for improved performance.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-3' style=';'><div id='questionWrap-3'  class='   watupro-question-id-399725'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>In the context of fine-tuning LLMs, which of the following metrics is most commonly used to assess the performance of a fine-tuned model?<\/div><input type='hidden' name='question_id[]' id='qID_3' value='399725' \/><input type='hidden' id='answerType399725' 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-399725[]' id='answer-id-1552514' class='answer   answerof-399725 ' value='1552514'   \/><label for='answer-id-1552514' id='answer-label-1552514' class=' answer'><span>Model size<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399725[]' id='answer-id-1552515' class='answer   answerof-399725 ' value='1552515'   \/><label for='answer-id-1552515' id='answer-label-1552515' class=' answer'><span>Accuracy on a validation set<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399725[]' id='answer-id-1552516' class='answer   answerof-399725 ' value='1552516'   \/><label for='answer-id-1552516' id='answer-label-1552516' class=' answer'><span>Training duration<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399725[]' id='answer-id-1552517' class='answer   answerof-399725 ' value='1552517'   \/><label for='answer-id-1552517' id='answer-label-1552517' class=' answer'><span>Number of layers<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-4' style=';'><div id='questionWrap-4'  class='   watupro-question-id-399726'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>Which of the following claims is correct about quantization in the context of Deep Learning? (Pick the 2 correct responses)<\/div><input type='hidden' name='question_id[]' id='qID_4' value='399726' \/><input type='hidden' id='answerType399726' 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-399726[]' id='answer-id-1552518' class='answer   answerof-399726 ' value='1552518'   \/><label for='answer-id-1552518' id='answer-label-1552518' class=' answer'><span>Quantization might help in saving power and reducing heat production.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-399726[]' id='answer-id-1552519' class='answer   answerof-399726 ' value='1552519'   \/><label for='answer-id-1552519' id='answer-label-1552519' class=' answer'><span>It consists of removing a quantity of weights whose values are zero.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-399726[]' id='answer-id-1552520' class='answer   answerof-399726 ' value='1552520'   \/><label for='answer-id-1552520' id='answer-label-1552520' class=' answer'><span>It leads to a substantial loss of model accuracy.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-399726[]' id='answer-id-1552521' class='answer   answerof-399726 ' value='1552521'   \/><label for='answer-id-1552521' id='answer-label-1552521' class=' answer'><span>Helps reduce memory requirements and achieve better cache utilization.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-399726[]' id='answer-id-1552522' class='answer   answerof-399726 ' value='1552522'   \/><label for='answer-id-1552522' id='answer-label-1552522' class=' answer'><span>It only involves reducing the number of bits of the parameters.<\/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-399727'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>What is the primary purpose of applying various image transformation techniques (e.g., flipping, rotation, zooming) to a dataset?<\/div><input type='hidden' name='question_id[]' id='qID_5' value='399727' \/><input type='hidden' id='answerType399727' 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-399727[]' id='answer-id-1552523' class='answer   answerof-399727 ' value='1552523'   \/><label for='answer-id-1552523' id='answer-label-1552523' class=' answer'><span>To simplify the model's architecture, making it easier to interpret the results.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399727[]' id='answer-id-1552524' class='answer   answerof-399727 ' value='1552524'   \/><label for='answer-id-1552524' id='answer-label-1552524' class=' answer'><span>To artificially expand the dataset's size and improve the model's ability to generalize.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399727[]' id='answer-id-1552525' class='answer   answerof-399727 ' value='1552525'   \/><label for='answer-id-1552525' id='answer-label-1552525' class=' answer'><span>To ensure perfect alignment and uniformity across all images in the dataset.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399727[]' id='answer-id-1552526' class='answer   answerof-399727 ' value='1552526'   \/><label for='answer-id-1552526' id='answer-label-1552526' class=' answer'><span>To reduce the computational resources required for training deep learning models.<\/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-399728'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>Which technique is used in prompt engineering to guide LLMs in generating more accurate and contextually appropriate responses?<\/div><input type='hidden' name='question_id[]' id='qID_6' value='399728' \/><input type='hidden' id='answerType399728' 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-399728[]' id='answer-id-1552527' class='answer   answerof-399728 ' value='1552527'   \/><label for='answer-id-1552527' id='answer-label-1552527' class=' answer'><span>Training the model with additional data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399728[]' id='answer-id-1552528' class='answer   answerof-399728 ' value='1552528'   \/><label for='answer-id-1552528' id='answer-label-1552528' class=' answer'><span>Choosing another model architecture.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399728[]' id='answer-id-1552529' class='answer   answerof-399728 ' value='1552529'   \/><label for='answer-id-1552529' id='answer-label-1552529' class=' answer'><span>Increasing the model's parameter count.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399728[]' id='answer-id-1552530' class='answer   answerof-399728 ' value='1552530'   \/><label for='answer-id-1552530' id='answer-label-1552530' class=' answer'><span>Leveraging the system message.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-7' style=';'><div id='questionWrap-7'  class='   watupro-question-id-399729'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/span>What are some methods to overcome limited throughput between CPU and GPU? (Pick the 2 correct responses)<\/div><input type='hidden' name='question_id[]' id='qID_7' value='399729' \/><input type='hidden' id='answerType399729' 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-399729[]' id='answer-id-1552531' class='answer   answerof-399729 ' value='1552531'   \/><label for='answer-id-1552531' id='answer-label-1552531' class=' answer'><span>Increase the clock speed of the CP<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-399729[]' id='answer-id-1552532' class='answer   answerof-399729 ' value='1552532'   \/><label for='answer-id-1552532' id='answer-label-1552532' class=' answer'><span>Using techniques like memory pooling.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-399729[]' id='answer-id-1552533' class='answer   answerof-399729 ' value='1552533'   \/><label for='answer-id-1552533' id='answer-label-1552533' class=' answer'><span>Upgrade the GPU to a higher-end model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-399729[]' id='answer-id-1552534' class='answer   answerof-399729 ' value='1552534'   \/><label for='answer-id-1552534' id='answer-label-1552534' class=' answer'><span>Increase the number of CPU cores.<\/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-399730'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>What is 'chunking' in Retrieval-Augmented Generation (RAG)?<\/div><input type='hidden' name='question_id[]' id='qID_8' value='399730' \/><input type='hidden' id='answerType399730' 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-399730[]' id='answer-id-1552535' class='answer   answerof-399730 ' value='1552535'   \/><label for='answer-id-1552535' id='answer-label-1552535' class=' answer'><span>Rewrite blocks of text to fill a context window.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399730[]' id='answer-id-1552536' class='answer   answerof-399730 ' value='1552536'   \/><label for='answer-id-1552536' id='answer-label-1552536' class=' answer'><span>A method used in RAG to generate random text.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399730[]' id='answer-id-1552537' class='answer   answerof-399730 ' value='1552537'   \/><label for='answer-id-1552537' id='answer-label-1552537' class=' answer'><span>A concept in RAG that refers to the training of large language models.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399730[]' id='answer-id-1552538' class='answer   answerof-399730 ' value='1552538'   \/><label for='answer-id-1552538' id='answer-label-1552538' class=' answer'><span>A technique used in RAG to split text into meaningful segments.<\/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-399731'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>How does A\/B testing contribute to the optimization of deep learning models' performance and effectiveness in real-world applications? (Pick the 2 correct responses)<\/div><input type='hidden' name='question_id[]' id='qID_9' value='399731' \/><input type='hidden' id='answerType399731' 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-399731[]' id='answer-id-1552539' class='answer   answerof-399731 ' value='1552539'   \/><label for='answer-id-1552539' id='answer-label-1552539' class=' answer'><span>A\/B testing helps validate the impact of changes or updates to deep learning models by statistically analyzing the outcomes of different versions to make informed decisions for model optimization.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-399731[]' id='answer-id-1552540' class='answer   answerof-399731 ' value='1552540'   \/><label for='answer-id-1552540' id='answer-label-1552540' class=' answer'><span>A\/B testing allows for the comparison of different model configurations or hyperparameters to identify the most effective setup for improved performance.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-399731[]' id='answer-id-1552541' class='answer   answerof-399731 ' value='1552541'   \/><label for='answer-id-1552541' id='answer-label-1552541' class=' answer'><span>A\/B testing in deep learning models is primarily used for selecting the best training dataset without requiring a model architecture or parameters.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-399731[]' id='answer-id-1552542' class='answer   answerof-399731 ' value='1552542'   \/><label for='answer-id-1552542' id='answer-label-1552542' class=' answer'><span>A\/B testing guarantees immediate performance improvements in deep learning models without the need for further analysis or experimentation.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-399731[]' id='answer-id-1552543' class='answer   answerof-399731 ' value='1552543'   \/><label for='answer-id-1552543' id='answer-label-1552543' class=' answer'><span>A\/B testing is irrelevant in deep learning as it only applies to traditional statistical analysis and not complex neural network models.<\/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-399732'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/span>You are working on developing an application to classify images of animals and need to train a neural model. However, you have a limited amount of labeled data. <br \/>\r<br>Which technique can you use to leverage the knowledge from a model pre-trained on a different task to improve the performance of your new model?<\/div><input type='hidden' name='question_id[]' id='qID_10' value='399732' \/><input type='hidden' id='answerType399732' 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-399732[]' id='answer-id-1552544' class='answer   answerof-399732 ' value='1552544'   \/><label for='answer-id-1552544' id='answer-label-1552544' class=' answer'><span>Dropout<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399732[]' id='answer-id-1552545' class='answer   answerof-399732 ' value='1552545'   \/><label for='answer-id-1552545' id='answer-label-1552545' class=' answer'><span>Random initialization<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399732[]' id='answer-id-1552546' class='answer   answerof-399732 ' value='1552546'   \/><label for='answer-id-1552546' id='answer-label-1552546' class=' answer'><span>Transfer learning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399732[]' id='answer-id-1552547' class='answer   answerof-399732 ' value='1552547'   \/><label for='answer-id-1552547' id='answer-label-1552547' class=' answer'><span>Early stopping<\/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-399733'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/span>What is the fundamental role of LangChain in an LLM workflow?<\/div><input type='hidden' name='question_id[]' id='qID_11' value='399733' \/><input type='hidden' id='answerType399733' 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-399733[]' id='answer-id-1552548' class='answer   answerof-399733 ' value='1552548'   \/><label for='answer-id-1552548' id='answer-label-1552548' class=' answer'><span>To act as a replacement for traditional programming languages.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399733[]' id='answer-id-1552549' class='answer   answerof-399733 ' value='1552549'   \/><label for='answer-id-1552549' id='answer-label-1552549' class=' answer'><span>To reduce the size of AI foundation models.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399733[]' id='answer-id-1552550' class='answer   answerof-399733 ' value='1552550'   \/><label for='answer-id-1552550' id='answer-label-1552550' class=' answer'><span>To orchestrate LLM components into complex workflows.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399733[]' id='answer-id-1552551' class='answer   answerof-399733 ' value='1552551'   \/><label for='answer-id-1552551' id='answer-label-1552551' class=' answer'><span>To directly manage the hardware resources used by LLMs.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-12' style=';'><div id='questionWrap-12'  class='   watupro-question-id-399734'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/span>What type of model would you use in emotion classification tasks?<\/div><input type='hidden' name='question_id[]' id='qID_12' value='399734' \/><input type='hidden' id='answerType399734' 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-399734[]' id='answer-id-1552552' class='answer   answerof-399734 ' value='1552552'   \/><label for='answer-id-1552552' id='answer-label-1552552' class=' answer'><span>Auto-encoder model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399734[]' id='answer-id-1552553' class='answer   answerof-399734 ' value='1552553'   \/><label for='answer-id-1552553' id='answer-label-1552553' class=' answer'><span>Siamese model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399734[]' id='answer-id-1552554' class='answer   answerof-399734 ' value='1552554'   \/><label for='answer-id-1552554' id='answer-label-1552554' class=' answer'><span>Encoder model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399734[]' id='answer-id-1552555' class='answer   answerof-399734 ' value='1552555'   \/><label for='answer-id-1552555' id='answer-label-1552555' class=' answer'><span>SVM model<\/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-399735'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/span>In the context of a natural language processing (NLP) application, which approach is most effective for implementing zero-shot learning to classify text data into categories that were not seen during training?<\/div><input type='hidden' name='question_id[]' id='qID_13' value='399735' \/><input type='hidden' id='answerType399735' 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-399735[]' id='answer-id-1552556' class='answer   answerof-399735 ' value='1552556'   \/><label for='answer-id-1552556' id='answer-label-1552556' class=' answer'><span>Use rule-based systems to manually define the characteristics of each category.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399735[]' id='answer-id-1552557' class='answer   answerof-399735 ' value='1552557'   \/><label for='answer-id-1552557' id='answer-label-1552557' class=' answer'><span>Use a large, labeled dataset for each possible category.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399735[]' id='answer-id-1552558' class='answer   answerof-399735 ' value='1552558'   \/><label for='answer-id-1552558' id='answer-label-1552558' class=' answer'><span>Train the new model from scratch for each new category encountered.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399735[]' id='answer-id-1552559' class='answer   answerof-399735 ' value='1552559'   \/><label for='answer-id-1552559' id='answer-label-1552559' class=' answer'><span>Use a pre-trained language model with semantic embeddings.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-14' style=';'><div id='questionWrap-14'  class='   watupro-question-id-399736'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/span>Which technology will allow you to deploy an LLM for production application?<\/div><input type='hidden' name='question_id[]' id='qID_14' value='399736' \/><input type='hidden' id='answerType399736' 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-399736[]' id='answer-id-1552560' class='answer   answerof-399736 ' value='1552560'   \/><label for='answer-id-1552560' id='answer-label-1552560' class=' answer'><span>Git<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399736[]' id='answer-id-1552561' class='answer   answerof-399736 ' value='1552561'   \/><label for='answer-id-1552561' id='answer-label-1552561' class=' answer'><span>Pandas<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399736[]' id='answer-id-1552562' class='answer   answerof-399736 ' value='1552562'   \/><label for='answer-id-1552562' id='answer-label-1552562' class=' answer'><span>Falcon<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399736[]' id='answer-id-1552563' class='answer   answerof-399736 ' value='1552563'   \/><label for='answer-id-1552563' id='answer-label-1552563' class=' answer'><span>Triton<\/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-399737'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>Which Python library is specifically designed for working with large language models (LLMs)?<\/div><input type='hidden' name='question_id[]' id='qID_15' value='399737' \/><input type='hidden' id='answerType399737' 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-399737[]' id='answer-id-1552564' class='answer   answerof-399737 ' value='1552564'   \/><label for='answer-id-1552564' id='answer-label-1552564' class=' answer'><span>NumPy<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399737[]' id='answer-id-1552565' class='answer   answerof-399737 ' value='1552565'   \/><label for='answer-id-1552565' id='answer-label-1552565' class=' answer'><span>Pandas<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399737[]' id='answer-id-1552566' class='answer   answerof-399737 ' value='1552566'   \/><label for='answer-id-1552566' id='answer-label-1552566' class=' answer'><span>HuggingFace Transformers<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399737[]' id='answer-id-1552567' class='answer   answerof-399737 ' value='1552567'   \/><label for='answer-id-1552567' id='answer-label-1552567' class=' answer'><span>Scikit-learn<\/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-399738'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>Transformers are useful for language modeling because their architecture is uniquely suited for handling which of the following?<\/div><input type='hidden' name='question_id[]' id='qID_16' value='399738' \/><input type='hidden' id='answerType399738' 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-399738[]' id='answer-id-1552568' class='answer   answerof-399738 ' value='1552568'   \/><label for='answer-id-1552568' id='answer-label-1552568' class=' answer'><span>Long sequences<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399738[]' id='answer-id-1552569' class='answer   answerof-399738 ' value='1552569'   \/><label for='answer-id-1552569' id='answer-label-1552569' class=' answer'><span>Embeddings<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399738[]' id='answer-id-1552570' class='answer   answerof-399738 ' value='1552570'   \/><label for='answer-id-1552570' id='answer-label-1552570' class=' answer'><span>Class tokens<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399738[]' id='answer-id-1552571' class='answer   answerof-399738 ' value='1552571'   \/><label for='answer-id-1552571' id='answer-label-1552571' class=' answer'><span>Translations<\/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-399739'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>In the context of data preprocessing for Large Language Models (LLMs), what does tokenization refer to?<\/div><input type='hidden' name='question_id[]' id='qID_17' value='399739' \/><input type='hidden' id='answerType399739' 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-399739[]' id='answer-id-1552572' class='answer   answerof-399739 ' value='1552572'   \/><label for='answer-id-1552572' id='answer-label-1552572' class=' answer'><span>Splitting text into smaller units like words or subwords.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399739[]' id='answer-id-1552573' class='answer   answerof-399739 ' value='1552573'   \/><label for='answer-id-1552573' id='answer-label-1552573' class=' answer'><span>Converting text into numerical representations.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399739[]' id='answer-id-1552574' class='answer   answerof-399739 ' value='1552574'   \/><label for='answer-id-1552574' id='answer-label-1552574' class=' answer'><span>Removing stop words from the text.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399739[]' id='answer-id-1552575' class='answer   answerof-399739 ' value='1552575'   \/><label for='answer-id-1552575' id='answer-label-1552575' class=' answer'><span>Applying data augmentation techniques to generate more training data.<\/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-399740'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/span>Which calculation is most commonly used to measure the semantic closeness of two text passages?<\/div><input type='hidden' name='question_id[]' id='qID_18' value='399740' \/><input type='hidden' id='answerType399740' 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-399740[]' id='answer-id-1552576' class='answer   answerof-399740 ' value='1552576'   \/><label for='answer-id-1552576' id='answer-label-1552576' class=' answer'><span>Hamming distance<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399740[]' id='answer-id-1552577' class='answer   answerof-399740 ' value='1552577'   \/><label for='answer-id-1552577' id='answer-label-1552577' class=' answer'><span>Jaccard similarity<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399740[]' id='answer-id-1552578' class='answer   answerof-399740 ' value='1552578'   \/><label for='answer-id-1552578' id='answer-label-1552578' class=' answer'><span>Cosine similarity<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-399740[]' id='answer-id-1552579' class='answer   answerof-399740 ' value='1552579'   \/><label for='answer-id-1552579' id='answer-label-1552579' class=' answer'><span>Euclidean distance<\/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-399741'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>Which of the following contributes to the ability of RAPIDS to accelerate data processing? (Pick the 2 correct responses)<\/div><input type='hidden' name='question_id[]' id='qID_19' value='399741' \/><input type='hidden' id='answerType399741' 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-399741[]' id='answer-id-1552580' class='answer   answerof-399741 ' value='1552580'   \/><label for='answer-id-1552580' id='answer-label-1552580' class=' answer'><span>Ensuring that CPUs are running at full clock speed.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-399741[]' id='answer-id-1552581' class='answer   answerof-399741 ' value='1552581'   \/><label for='answer-id-1552581' id='answer-label-1552581' class=' answer'><span>Subsampling datasets to provide rapid but approximate answers.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-399741[]' id='answer-id-1552582' class='answer   answerof-399741 ' value='1552582'   \/><label for='answer-id-1552582' id='answer-label-1552582' class=' answer'><span>Using the GPU for parallel processing of data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-399741[]' id='answer-id-1552583' class='answer   answerof-399741 ' value='1552583'   \/><label for='answer-id-1552583' id='answer-label-1552583' class=' answer'><span>Enabling data processing to scale to multiple GPUs.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-399741[]' id='answer-id-1552584' class='answer   answerof-399741 ' value='1552584'   \/><label for='answer-id-1552584' id='answer-label-1552584' class=' answer'><span>Providing more memory for data analysis.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div style='display:none' id='question-20'>\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=\"watuPROButtons10060\" >\n\t\t  <div id=\"prev-question\" style=\"display:none;\"><input type=\"button\" value=\"&lt; Previous\" onclick=\"WatuPRO.nextQuestion(event, 'previous');\"\/><\/div>\t\t  \t\t  \t\t   \n\t\t   \t  \t\t<div><input type=\"button\" name=\"action\" class=\"watupro-submit-button\" onclick=\"WatuPRO.submitResult(event)\" id=\"action-button\" value=\"View Results\"  \/>\n\t\t<\/div>\n\t\t<\/div>\n\t\t\n\t<input type=\"hidden\" name=\"quiz_id\" value=\"10060\" id=\"watuPROExamID\"\/>\n\t<input type=\"hidden\" name=\"start_time\" id=\"startTime\" value=\"2026-04-29 16:30:58\" \/>\n\t<input type=\"hidden\" name=\"start_timestamp\" id=\"startTimeStamp\" value=\"1777480258\" \/>\n\t<input type=\"hidden\" name=\"question_ids\" value=\"\" \/>\n\t<input type=\"hidden\" name=\"watupro_questions\" value=\"399723:1552506,1552507,1552508,1552509 | 399724:1552510,1552511,1552512,1552513 | 399725:1552514,1552515,1552516,1552517 | 399726:1552518,1552519,1552520,1552521,1552522 | 399727:1552523,1552524,1552525,1552526 | 399728:1552527,1552528,1552529,1552530 | 399729:1552531,1552532,1552533,1552534 | 399730:1552535,1552536,1552537,1552538 | 399731:1552539,1552540,1552541,1552542,1552543 | 399732:1552544,1552545,1552546,1552547 | 399733:1552548,1552549,1552550,1552551 | 399734:1552552,1552553,1552554,1552555 | 399735:1552556,1552557,1552558,1552559 | 399736:1552560,1552561,1552562,1552563 | 399737:1552564,1552565,1552566,1552567 | 399738:1552568,1552569,1552570,1552571 | 399739:1552572,1552573,1552574,1552575 | 399740:1552576,1552577,1552578,1552579 | 399741:1552580,1552581,1552582,1552583,1552584\" \/>\n\t<input type=\"hidden\" name=\"no_ajax\" value=\"0\">\t\t\t<\/form>\n\t<p>&nbsp;<\/p>\n<\/div>\n\n<script type=\"text\/javascript\">\n\/\/jQuery(document).ready(function(){\ndocument.addEventListener(\"DOMContentLoaded\", function(event) { \t\nvar question_ids = \"399723,399724,399725,399726,399727,399728,399729,399730,399731,399732,399733,399734,399735,399736,399737,399738,399739,399740,399741\";\nWatuPROSettings[10060] = {};\nWatuPRO.qArr = question_ids.split(',');\nWatuPRO.exam_id = 10060;\t    \nWatuPRO.post_id = 102406;\nWatuPRO.store_progress = 0;\nWatuPRO.curCatPage = 1;\nWatuPRO.requiredIDs=\"0\".split(\",\");\nWatuPRO.hAppID = \"0.69372500 1777480258\";\nvar url = \"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/plugins\/watupro\/show_exam.php\";\nWatuPRO.examMode = 1;\nWatuPRO.siteURL=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-admin\/admin-ajax.php\";\nWatuPRO.emailIsNotRequired = 0;\nWatuPROIntel.init(10060);\nWatuPRO.inCategoryPages=1;});    \t \n<\/script>\n","protected":false},"excerpt":{"rendered":"<p>Do you know the NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) certification? It is an associate-level credential based on the subject of generative AI and large language models, validating the foundational concepts for developing, integrating, and maintaining AI-driven applications using generative AI and large language models (LLMs) with NVIDIA solutions. DumpsBase offers comprehensive and reliable [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[18718,18953],"tags":[18954,18955],"class_list":["post-102406","post","type-post","status-publish","format-standard","hentry","category-nvidia","category-nvidia-certified-associate","tag-nca-genl-dumps","tag-nvidia-certified-associate-generative-ai-and-llms-nca-genl"],"_links":{"self":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/102406","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=102406"}],"version-history":[{"count":1,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/102406\/revisions"}],"predecessor-version":[{"id":102407,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/102406\/revisions\/102407"}],"wp:attachment":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/media?parent=102406"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/categories?post=102406"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/tags?post=102406"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}