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: Mar 25, 2025
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Rated: 4.9 |
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Online Users: 600
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Question 1
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You are developing a regression model to predict house prices based on various features like square footage, number of bedrooms, and location. You decide to use Keras to build a neural network and NumPy for data preprocessing. Which approach is most suitable for optimizing the model's performance?
Answer: C
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You are developing a regression model to predict house prices based on various features like square footage, number of bedrooms, and location. You decide to use Keras to build a neural network and NumPy for data preprocessing. Which approach is most suitable for optimizing the model's performance?
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Question 2
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You are working on deploying a Large Language Model (LLM) for a financial institution where it needs to generate detailed reports based on user inputs. The LLM occasionally generates responses that are logically correct but irrelevant to the user's query. The senior team member suggests a modification in the model’s attention mechanism to improve relevance. What adjustment to the attention mechanism would most likely improve the relevance of the LLM’s responses?
Answer: A
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You are working on deploying a Large Language Model (LLM) for a financial institution where it needs to generate detailed reports based on user inputs. The LLM occasionally generates responses that are logically correct but irrelevant to the user's query. The senior team member suggests a modification in the model’s attention mechanism to improve relevance. What adjustment to the attention mechanism would most likely improve the relevance of the LLM’s responses?
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Question 3
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You are working with a senior team member to deploy a large language model (LLM) across a multi-cloud environment. The senior team member asks you to assist in evaluating the model's scalability. The model is expected to handle a significant increase in traffic as the user base grows, and you need to identify any potential bottlenecks. What is the most appropriate first step in evaluating the model's scalability in this scenario?
Answer: D
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You are working with a senior team member to deploy a large language model (LLM) across a multi-cloud environment. The senior team member asks you to assist in evaluating the model's scalability. The model is expected to handle a significant increase in traffic as the user base grows, and you need to identify any potential bottlenecks. What is the most appropriate first step in evaluating the model's scalability in this scenario?
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Question 4
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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 5
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You are part of a team developing a summarization tool designed to condense lengthy legal documents into brief, actionable summaries. The tool is intended to assist lawyers by quickly highlighting the most critical information. The senior engineer has asked you to help determine which aspects of the tool’s design are most critical for producing high-quality summaries. What is the most crucial factor to consider when building the summarization tool for legal documents?
Answer: D
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You are part of a team developing a summarization tool designed to condense lengthy legal documents into brief, actionable summaries. The tool is intended to assist lawyers by quickly highlighting the most critical information. The senior engineer has asked you to help determine which aspects of the tool’s design are most critical for producing high-quality summaries. What is the most crucial factor to consider when building the summarization tool for legal documents?