NCA-GENL Topic Coverage with Clear Explanations
NVIDIA NCA-GENL Exam Specifications
- Exam Code:
- NCA-GENL
- Exam Name:
- Generative AI LLMs Exam
- Provider:
- NVIDIA
- Time:
- 60 min
- Passing Percentage:
- 70%
- Version:
- 7.0
Question Types with Explanations
- 86 Single Select
- 9 Multi Select
95 Questions with Answers
- PDF Printable (Q & A)
- 3 Months
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Real Exam-like Questions and Answers (95 total)
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NVIDIA NCA-GENL Exam Outline
In the Generative AI LLMs Exam, you will learn to design and train transformer-based models from pretraining through fine-tuning, including instruction tuning and RLHF for alignment, while applying data curation, safety controls, and policy compliance and carrying out rigorous evaluation and robustness checks. You will also gain practical deployment and inference skills, optimizing latency and integrating with tools, frameworks, and APIs, while addressing security, privacy, governance, and responsible AI concerns such as bias mitigation and explainability.
Exam Domains
- Foundations of large language models and transformer architectures
- Instruction tuning, prompt engineering, and alignment strategies
- Data curation, safety controls, and content policy compliance
- Evaluation, benchmarking, and robustness assessment
- Training lifecycle including pretraining, fine-tuning, and RLHF concepts
- Decoding strategies, generation quality, and sampling methods
- Deployment, inference optimization, and latency considerations
- Tools, frameworks, and API integration for LLM workflows
- Security, privacy, and governance in generative systems
- Responsible AI, bias mitigation, explainability, and ethics
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