50 practice questions for NVIDIA Generative AI LLMs Associate (NCA-GENL), with full explanations.
Every question comes with the correct answer, the reasoning behind it, and a short note on why each wrong option is wrong. Work through it once with the answers, then again with the questions-only copy under exam conditions.
- 50 questions mapped to the NCA-GENL exam objectives, across the full topic list
- Answers and explanations for every question, including why each wrong option is wrong
- A questions-only PDF for timed practice runs
- Instant delivery by email the moment you check out
- Free monthly updates for as long as the exam is live
- Pass or your money back
An NCA-GENL attempt costs US$125. This pack is US$39, paid once.
Try 10 questions free before you buy.
Last updated September 2026 · 50 questions
What makes the NCA-GENL hard
The NCA-GENL is NVIDIA’s large language model fundamentals exam, and it is more technical than the associate label suggests: transformer internals show up by name, not by vibe.
Expect precision questions on attention mechanisms and why transformers replaced RNNs, tokenisation and embeddings, fine-tuning versus prompt engineering versus RAG trade-offs, and experiment design, including train and test splits, metrics and overfitting signals. Then there is the NVIDIA layer that generic LLM courses skip: where NeMo, TensorRT-LLM and Triton fit into the stack, plus a section on trustworthy AI.
It runs to around 50 questions in an hour, which leaves little time to work out unfamiliar terminology on the day.
About the exam
NCA-GENL is NVIDIA’s associate-level certification for generative AI and large language models: core machine learning and transformer concepts, prompting, fine-tuning, data handling, experimentation and trustworthy AI, with the NVIDIA software stack in view. There are no formal prerequisites. Valid for two 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 or fail result, no numeric score published, online remote proctored via Certiverse, US$125 per attempt, valid for two years.
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