NCA-GENL Practice Tests: NVIDIA Generative AI & LLMs

About this course

Prepare for the NVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL) exam with 5 full-length practice tests — 250 original, exam-style questions covering every domain in NVIDIA's official exam blueprint.

The NCA-GENL is NVIDIA's entry-level certification validating your foundational skills in generative AI and large language models. This practice test course mirrors the real exam's structure, difficulty, and question types (single-choice and multi-select), so you know exactly what to expect on exam day — not generic AI trivia.

Each of the 5 tests contains 50 questions distributed across the 5 official exam domains in their real proportions:

Core Machine Learning and AI Knowledge (30%) — neural networks, transformer architecture, attention mechanisms, tokenization, fine-tuning (LoRA, QLoRA, PEFT), embeddings

Software Development (24%) — Hugging Face Transformers, LangChain, NVIDIA NeMo, Triton Inference Server, TensorRT-LLM, NIM, RAG pipeline architecture

Experimentation (22%) — prompt engineering (zero-shot, few-shot, chain-of-thought), evaluation metrics (BLEU, ROUGE, perplexity, F1), A/B testing, reproducibility

Data Analysis and Visualization (14%) — data preprocessing, RAPIDS/cuDF, embedding visualization, class imbalance handling

Trustworthy AI (10%) — hallucination, bias and fairness, alignment (RLHF), guardrails, explainability

Every single question comes with a detailed explanation covering not just why the correct answer is right, but why each distractor is wrong — so you actually learn the underlying concept, not just memorize an answer key.

Questions are written to be realistic and scenario-based wherever the real exam would test that way, rather than simple definition recall, so you build the applied understanding the exam (and real LLM engineering work) actually requires.

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