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Exam Code:NCA-GENL
Exam Name:NVIDIA Generative AI LLMs
Certification Provider:NVIDIA
Free Question Number:23
Version:v2025-10-31
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Exam Question List
Question 1: Why do we need positional encoding in transformer-based mode...
Question 2: In the context of developing an AI application using NVIDIA'...
Question 3: Which technology will allow you to deploy an LLM for product...
Question 4: Which aspect in the development of ethical AI systems ensure...
Question 5: What is 'chunking' in Retrieval-Augmented Generation (RAG)?...
Question 6: Transformers are useful for language modeling because their ...
Question 7: In the context of data preprocessing for Large Language Mode...
Question 8: Which Python library is specifically designed for working wi...
Question 9: Which principle of Trustworthy AI primarily concerns the eth...
Question 10: Which calculation is most commonly used to measure the seman...
Question 11: What are the main advantages of instructed large language mo...
Question 12: In the context of transformer-based large language models, h...
Question 13: Which of the following is a key characteristic of Rapid Appl...
Question 14: Which tool would you use to select training data with specif...
Question 15: Which technique is used in prompt engineering to guide LLMs ...
Question 16: In neural networks, the vanishing gradient problem refers to...
Question 17: When comparing and contrasting the ReLU and sigmoid activati...
Question 18: Which metric is commonly used to evaluate machine-translatio...
Question 19: In transformer-based LLMs, how does the use of multi-head at...
Question 20: What type of model would you use in emotion classification t...
Question 21: What is the primary purpose of applying various image transf...
Question 22: Which feature of the HuggingFace Transformers library makes ...
Question 23: In the context of fine-tuning LLMs, which of the following m...