Free NVIDIA NCA-GENL Practice Test & Real Exam Questions

  • Exam Code/Number: NCA-GENL
  • Exam Name/Title: NVIDIA Generative AI LLMs
  • Certification Provider: NVIDIA
  • Corresponding Certification: NVIDIA-Certified Associate
  • Exam Questions: 97
  • Updated On: Jun 27, 2026
Which of the following is a key characteristic of Rapid Application Development (RAD)?
Correct Answer: A Vote an answer
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Which principle of Trustworthy AI primarily concerns the ethical implications of AI's impact on society and includes considerations for both potential misuse and unintended consequences?
Correct Answer: B Vote an answer
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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?
Correct Answer: A Vote an answer
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In the context of preparing a multilingual dataset for fine-tuning an LLM, which preprocessing technique is most effective for handling text from diverse scripts (e.g., Latin, Cyrillic, Devanagari) to ensure consistent model performance?
Correct Answer: C Vote an answer
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When should one use data clustering and visualization techniques such as tSNE or UMAP?
Correct Answer: C Vote an answer
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What do we usually refer to as generative AI?
Correct Answer: B Vote an answer
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What are the main advantages of instructed large language models over traditional, small language models (<
300M parameters)? (Pick the 2 correct responses)
Correct Answer: D,E Vote an answer
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Which technique is designed to train a deep learning model by adjusting the weights of the neural network based on the error between the predicted and actual outputs?
Correct Answer: D Vote an answer
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What is the purpose of few-shot learning in prompt engineering?
Correct Answer: D Vote an answer
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In Natural Language Processing, there are a group of steps in problem formulation collectively known as word representations (also word embeddings). Which of the following are Deep Learning models that can be used to produce these representations for NLP tasks? (Choose two.)
Correct Answer: A,B Vote an answer
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