NCA-GENL NVIDIA Generative AI LLMs Practice Exams 2026

About this course

Prepare for the NVIDIA-Certified Associate: Generative AI LLMs exam (NCA-GENL) with six full-length, 60-question practice exams.

The real exam has 50-60 questions in 60 minutes. These tests match that format and use the same five-domain weighting NVIDIA publishes on its certification page:

Core Machine Learning and AI Knowledge: 30% (18 questions per test)Software Development: 24% (14 questions per test)Experimentation: 22% (13 questions per test)Data Analysis: 14% (9 questions per test)Trustworthy AI: 10% (6 questions per test)What's inside6 practice exams x 60 questions = 360 original questions

Questions are scenario-based, at associate level, with single-answer and multi-select items

Every option is explained. You learn why the right answer is right and why each distractor is wrong

Every question cites a source you can read. Most come from NVIDIA documentation, the NVIDIA Technical Blog, or the reading list on NVIDIA's exam page. The rest cite the original paper or the library's own docs (scikit-learn, Hugging Face, spaCy)Domain tags let you drill weak areas in Practice mode, and Exam mode gives you a timed 60-minute run

Topics covered

Transformers and attention, encoder vs. decoder models, tokenization (BPE, WordPiece, SentencePiece)Text embeddings, vector databases, and retrieval-augmented generation (RAG): chunking, reranking, hybrid search, evaluation

Prompt engineering: zero-shot and few-shot, chain-of-thought, sampling parameters, prompt and p-tuning

Fine-tuning and alignment: SFT, LoRA/QLoRA/PEFT, RLHF, DPOInference optimization: quantization, KV cache, batching, TensorRT-LLM, Triton Inference Server, NVIDIA NIM

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