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

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21. When designing an experiment to compare the performance of two LLMs on a question-answering task,...
22. In Natural Language Processing, there are a group of steps in problem formulation collectively known...
23. Which technique is designed to train a deep learning model by adjusting the weights of...
24. Your company has upgraded from a legacy LLM model to a new model that allows...
25. When comparing and contrasting the ReLU and sigmoid activation functions, which statement is true?
26. When should one use data clustering and visualization techniques such as tSNE or UMAP?
27. What is the fundamental role of LangChain in an LLM workflow?
28. In the transformer architecture, what is the purpose of positional encoding?
29. In the context of evaluating a fine-tuned LLM for a text classification task, which experimental...
30. In evaluating the transformer model for translation tasks, what is a common approach to assess...
31. What metrics would you use to evaluate the performance of a RAG workflow in terms...
32. You are in need of customizing your LLM via prompt engineering, prompt learning, or parameter-efficient...
33. When designing prompts for a large language model to perform a complex reasoning task, such...
34. What type of model would you use in emotion classification tasks?
35. What is the prompt “Translate English to French: cheese =>” an example of?
36. In neural networks, the vanishing gradient problem refers to what problem or issue?
37. In large-language models, what is the purpose of the attention mechanism?
38. In the context of data preprocessing for Large Language Models (LLMs), what does tokenization refer...
39. You have access to training data but no access to test data.
40. Which of the following principles are widely recognized for building trustworthy AI?

NVIDIA NCA-GENL Summary

  • Vendor: NVIDIA
  • Product: NCA-GENL
  • Update on: May 11, 2026
  • Questions: 95
  • Page: 2 / 3
Price: $52.5  $149.99
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TESTED 11 May 2026