Free Dell EMC NCA-GENL Exam Questions
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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: 300
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Updated On: Nov 18, 2024
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Rated: 4.9 |
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Online Users: 600
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Question 1
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Your team is developing a chatbot application that leverages a Large Language Model (LLM) for customer support. The LLM needs to handle diverse inquiries from customers in multiple languages and should provide accurate responses within a few seconds. Which of the following configurations will best meet these requirements?
Answer: A
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Your team is developing a chatbot application that leverages a Large Language Model (LLM) for customer support. The LLM needs to handle diverse inquiries from customers in multiple languages and should provide accurate responses within a few seconds. Which of the following configurations will best meet these requirements?
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Question 2
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You are tasked with developing a generative AI model for a client that needs to generate creative marketing content based on customer behavior data. The data includes customer purchase history, browsing patterns, and social media interactions. Which of the following approaches would be most effective in ensuring that the generated content is both relevant and creative? (Select two)
Answer: C,D
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You are tasked with developing a generative AI model for a client that needs to generate creative marketing content based on customer behavior data. The data includes customer purchase history, browsing patterns, and social media interactions. Which of the following approaches would be most effective in ensuring that the generated content is both relevant and creative? (Select two)
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Question 3
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You are experimenting with two different generative AI models for summarizing legal documents. To determine which model performs better, you decide to compare them using statistical performance metrics. Which of the following metrics and methods should you prioritize for a meaningful comparison? (Select two)
Answer: A,E
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You are experimenting with two different generative AI models for summarizing legal documents. To determine which model performs better, you decide to compare them using statistical performance metrics. Which of the following metrics and methods should you prioritize for a meaningful comparison? (Select two)
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Question 4
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You are working on a regression problem to predict house prices based on several features, including the number of bedrooms, square footage, and neighborhood quality (categorical). Which combination of Python packages and methods should you use to prepare the dataset for a Linear Regression model?
Answer: A
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You are working on a regression problem to predict house prices based on several features, including the number of bedrooms, square footage, and neighborhood quality (categorical). Which combination of Python packages and methods should you use to prepare the dataset for a Linear Regression model?
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Question 5
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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?