Free Dell EMC NCA-GENL Exam Questions

Become Dell EMC Certified with updated NCA-GENL exam questions and correct answers

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Total 395 Questions | Updated On: Oct 29, 2025

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Question 1

Which of the following best describes Word2vec?

A : A programming language used to build artificial intelligence models

B : A statistical technique used to analyze word frequency in a text corpus.

C : A deep learning algorithm used to generate word embeddings from text data.

D : A database management system designed for storing and querying word data.

Answer: C

Question 2

When designing an experiment to compare the performance of two LLMs on a question-answering task, which statistical test is most appropriate to determine if the difference in their accuracy is significant, assuming the data follows a normal distribution?

A : Chi-squared test

B : Paired t-test

C : Mann-Whitney U test

D : ANOVA test

Answer: B

Question 3

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 4

What is the purpose of the NVIDIA NeMo Toolkit?

A : NeMo focuses on the morphology of a language by studying its words, and how they are formed.

B : NeMo helps researchers to develop models that trade-off size with minimum loss impact.

C : NeMo facilitates the creation of models for speech recognition and natural language understanding.

D : NeMo helps researchers develop state-of-the-art models for computer vision based on convolutions.

Answer: C

Question 5

Which of the following prompt engineering techniques is most effective for improving an LLM's performance on multi-step reasoning tasks?

A : Retrieval-augmented generation without context

B : Few-shot prompting with unrelated examples.

C : Zero-shot prompting with detailed task descriptions.

D : Chain-of-thought prompting with explicit intermediate steps.

Answer: D

Page: 1 / 79

Total 395 Questions | Updated On: Oct 29, 2025

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