Free Dell EMC NCA-GENL Exam Questions
Absolute Free NCA-GENL Exam Practice for Comprehensive Preparation
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Dell EMC NCA-GENL Exam Questions
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Provided By: Dell EMC
- Exam: NCA - Generative AI LLMs
- Certification: NVIDIA Certified Associate
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Total Questions: 395
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Updated On: Jan 15, 2026
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Rated: 4.9 |
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Online Users: 790
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Question 1
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You have been tasked with fine-tuning a generative AI model for creating personalized content recommendations on a streaming platform. During testing, the model tends to recommend similar content repeatedly, which reduces user engagement. What approach should you take to enhance the diversity of recommendations while maintaining relevance?
Answer: D
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You have been tasked with fine-tuning a generative AI model for creating personalized content recommendations on a streaming platform. During testing, the model tends to recommend similar content repeatedly, which reduces user engagement. What approach should you take to enhance the diversity of recommendations while maintaining relevance?
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Question 2
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In the context of developing generative AI models, how should organizations balance the importance of data privacy with the need for data consent, particularly when dealing with sensitive user information?
Answer: A
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In the context of developing generative AI models, how should organizations balance the importance of data privacy with the need for data consent, particularly when dealing with sensitive user information?
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Question 3
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You are developing a generative AI system that needs to integrate with multiple third-party APIs for data retrieval and processing. During testing, you notice that the system’s performance degrades significantly when one of the APIs experiences latency issues. What is the most effective software development practice to mitigate this issue?
Answer: D
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You are developing a generative AI system that needs to integrate with multiple third-party APIs for data retrieval and processing. During testing, you notice that the system’s performance degrades significantly when one of the APIs experiences latency issues. What is the most effective software development practice to mitigate this issue?
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Question 4
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You are working on a generative AI project that requires training a large language model (LLM) on a dataset containing millions of customer reviews. However, the dataset includes many reviews with misspellings, redundant information, and irrelevant content. What would be the most appropriate preprocessing step to handle this issue?
Answer: B
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You are working on a generative AI project that requires training a large language model (LLM) on a dataset containing millions of customer reviews. However, the dataset includes many reviews with misspellings, redundant information, and irrelevant content. What would be the most appropriate preprocessing step to handle this issue?
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Question 5
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You are responsible for deploying an LLM in a customer service application. The LLM should effectively manage and prioritize different types of customer queries, such as urgent complaints, general inquiries, and feedback. However, during testing, you observe that the model struggles to prioritize urgent complaints appropriately, treating them with the same priority as general inquiries. The senior team member suggests adjusting the training process to improve the model's ability to handle priorities. Which strategy is most likely to improve the model’s ability to prioritize urgent complaints?
Answer: A
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You are responsible for deploying an LLM in a customer service application. The LLM should effectively manage and prioritize different types of customer queries, such as urgent complaints, general inquiries, and feedback. However, during testing, you observe that the model struggles to prioritize urgent complaints appropriately, treating them with the same priority as general inquiries. The senior team member suggests adjusting the training process to improve the model's ability to handle priorities. Which strategy is most likely to improve the model’s ability to prioritize urgent complaints?