Overview
50 real exam questions for the NVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL).
The questions you've seen on my YouTube channel come from this PDF - but I only share 20 to 30% of the bank publicly. This is the complete set: every question from the actual exam, word for word.
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50 real exam questions - pulled from the actual NCA-GENL exam
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Complete answers and explanations - and why every wrong option is wrong
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Questions-only PDF - for timed practice
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Instant delivery - sent to your email immediately after purchase
- Free updates every month, forever
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Full refund if you fail - no questions asked
Fail the NCA-GENL and it's another US$125 plus weeks of restudying. This PDF is US$39 - once, with a refund if you fail anyway.
Last updated: August 2026 - 50 questions
Deep Dive
The NCA-GENL is NVIDIA's LLM fundamentals exam, and it's more technical than the associate label suggests - transformer internals show up by name, not by vibe.
Expect precision questions: attention mechanisms and why transformers replaced RNNs, tokenisation and embeddings, fine-tuning versus prompt engineering versus RAG trade-offs, and experiment design - train/test splits, metrics, overfitting signals. Then the NVIDIA layer that generic LLM courses skip: where NeMo, TensorRT-LLM, and Triton fit in the stack, plus the trustworthy AI section.
An hour, fifty-ish questions, and the same buyers as my NCA-AIIO bank - this is the second half of the pair. This PDF has 50 real questions from the actual NCA-GENL.
If my free YouTube content is enough to pass, great. But if you want the full question bank before you sit down, this PDF is for you.
Exam Info
NCA-GENL is NVIDIA's associate-level certification for generative AI and large language models - core ML and transformer concepts, prompting, fine-tuning, data handling, experimentation, and trustworthy AI, with the NVIDIA software stack in view. No formal prerequisites. Valid 2 years.
Exam topics
- Machine learning and neural network fundamentals
- Transformer architecture, tokenisation, and embeddings
- Prompt engineering, fine-tuning, and RAG approaches
- Data analysis, experimentation, and evaluation
- NVIDIA software stack and trustworthy AI
Around 50 questions, 60 minutes, pass/fail, online remote proctored via Certiverse, US$125 per attempt, valid 2 years.
