Free Practice Dell EMC NCA-GENL Exam Questions 2025

Stay ahead with 100% Free NCA - Generative AI LLMs NCA-GENL Dumps Practice Questions

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Total 351 Questions | Updated On: Jun 06, 2025

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Question 1

In the development of trustworthy AI systems, what is the primary purpose of implementing redteaming exercises during the alignment process of large language models?

A : To optimize the model's inference speed for production deployment.

B : To identify and mitigate potential biases, safety risks, and harmful outputs.

C : To increase the model's parameter count for better performance.

D : To automate the collection of training data for fine-tuning.

Answer: B

Question 2

What is Retrieval Augmented Generation (RAG)?

A : RAG is an architecture used to optimize the output of an LLM by retraining the model with domain-specific data.

B : RAG is a methodology that combines an information retrieval component with a response generator.

C : RAG is a method for manipulating and generating text-based data using Transformer-based LLMs.

D : RAG is a technique used to fine-tune pre-trained LLMs for improved performance.

Answer: B

Question 3

In the context of developing an AI application using NVIDIA's NGC containers, how does the use of containerized environments enhance the reproducibility of LLM training and deployment workflows?

A : Containers automatically optimize the model's hyperparameters for better performance.

B : Containers encapsulate dependencies and configurations, ensuring consistent execution across systems.

C : Containers reduce the model's memory footprint by compressing the neural network.

D : Containers enable direct access to GPU hardware without driver installation.

Answer: B

Question 4

What is Retrieval Augmented Generation (RAG)?

A : RAG is an architecture used to optimize the output of an LLM by retraining the model with domain-specific data.

B : RAG is a methodology that combines an information retrieval component with a response generator.

C : RAG is a method for manipulating and generating text-based data using Transformer-based LLMs.

D : RAG is a technique used to fine-tune pre-trained LLMs for improved performance.

Answer: B

Question 5

In the development of trustworthy AI systems, what is the primary purpose of implementing redteaming exercises during the alignment process of large language models?

A : To optimize the model's inference speed for production deployment.

B : To identify and mitigate potential biases, safety risks, and harmful outputs.

C : To increase the model's parameter count for better performance.

D : To automate the collection of training data for fine-tuning.

Answer: B

Page: 1 / 71

Total 351 Questions | Updated On: Jun 06, 2025

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