Free NVIDIA NCA-GENL Exam Questions
Absolute Free NCA-GENL Exam Practice for Comprehensive Preparation
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NVIDIA NCA-GENL Exam Questions
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Provided By: NVIDIA
- Exam: NCA - Generative AI LLMs
- Certification: NVIDIA Certified Associate
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Total Questions: 395
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Updated On: Apr 16, 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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Which of the following practices is the most critical in ensuring that a generative AI system used for content creation is trustworthy, ethical, and energy-efficient?
Answer: B
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Which of the following practices is the most critical in ensuring that a generative AI system used for content creation is trustworthy, ethical, and energy-efficient?
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Question 2
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You are developing a machine learning model for predictive maintenance in a manufacturing plant. The model needs to analyze sensor data from thousands of machines in real-time, identifying patterns that indicate potential failures. This requires processing a continuous stream of data, some of which exceeds the available memory capacity. Which approach is most suitable for handling this complex scenario?
Answer: A
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You are developing a machine learning model for predictive maintenance in a manufacturing plant. The model needs to analyze sensor data from thousands of machines in real-time, identifying patterns that indicate potential failures. This requires processing a continuous stream of data, some of which exceeds the available memory capacity. Which approach is most suitable for handling this complex scenario?
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Question 3
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You are building a chatbot for a customer service application using an LLM. The chatbot needs to provide accurate answers by summarizing information from a large internal knowledge base. However, the chatbot sometimes generates verbose or redundant responses. Which technique would best help in generating more concise summaries?
Answer: D
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You are building a chatbot for a customer service application using an LLM. The chatbot needs to provide accurate answers by summarizing information from a large internal knowledge base. However, the chatbot sometimes generates verbose or redundant responses. Which technique would best help in generating more concise summaries?
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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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Which metric is commonly used to evaluate machine-translation models?
Answer: B
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Which metric is commonly used to evaluate machine-translation models?