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NVIDIA-Certified Associate (NCA-GENL) Free Practice Questions

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1. What is the purpose of few-shot learning in prompt engineering?
2. Transformers are useful for language modeling because their architecture is uniquely suited for handling which...
3. Which aspect in the development of ethical AI systems ensures they align with societal values...
4. What type of model would you use in emotion classification tasks?
5. In the context of developing an AI application using NVIDIA’s NGC containers, how does the...
6. You have access to training data but no access to test data.
7. What is 'chunking' in Retrieval-Augmented Generation (RAG)?
8. In neural networks, the vanishing gradient problem refers to what problem or issue?
9. What is a Tokenizer in Large Language Models (LLM)?
10. What is the fundamental role of LangChain in an LLM workflow?
11. Which feature of the HuggingFace Transformers library makes it particularly suitable for fine-tuning large language...
12. When comparing and contrasting the ReLU and sigmoid activation functions, which statement is true?
13. What distinguishes BLEU scores from ROUGE scores when evaluating natural language processing models?
14. Which of the following prompt engineering techniques is most effective for improving an LLM's performance...
15. You have developed a deep learning model for a recommendation system.
16. Which metric is primarily used to evaluate the quality of the text generated by language...
17. In the context of preparing a multilingual dataset for fine-tuning an LLM, which preprocessing technique...
18. What is confidential computing?
19. In the evaluation of Natural Language Processing (NLP) systems, what do ‘validity’ and ‘reliability’ imply...
20. How can Retrieval Augmented Generation (RAG) help developers to build a trustworthy AI system?

NVIDIA NCA-GENL Summary

  • Vendor: NVIDIA
  • Product: NCA-GENL
  • Update on: Sep 18, 2025
  • Questions: 95
  • Page: 1 / 3
Price: $52.5  $149.99
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TESTED 18 Sep 2025