NCA-GENL Actual Exam Questions

Last updated on June 1, 2025.
Vendor:NVIDIA
Exam Code:NCA-GENL
Exam Name:Generative AI LLM
Exam Questions:50
 

Topic 1 - Topic 1, Core Machine Learning and AI Knowledge

Question #1 Topic 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.
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Correct Answer: C 🗳️

Question #2 Topic 1

In the context of language models, what does an autoregressive model predict?

  • A. The probability of the next token in a text given the previous tokens.
  • B. The probability of the next token using a Monte Carlo sampling of past tokens.
  • C. The next token solely using recurrent network or LTSM cells.
  • D. The probability of the next token by looking at the previous and future input tokens.
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Correct Answer: A 🗳️

Question #3 Topic 1

In large-language models, what is the purpose of the attention mechanism?

  • A. To measure the importance of the words in the output sequence.
  • B. To determine the order in which words are generated.
  • C. To capture the order of the words in the input sequence.
  • D. To assign weights to each word in the input sequence.
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Correct Answer: D 🗳️

Question #4 Topic 1

In the transformer architecture, what is the purpose of positional encoding?

  • A. To remove redundant information from the input sequence.
  • B. To encode the semantic meaning of each token in the input sequence.
  • C. To add information about the order of each token in the input sequence.
  • D. To encode the importance of each token in the input sequence.
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Correct Answer: C 🗳️

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