Exam-style questions with full explanations for NCA-GENL: transformers, RAG, fine-tuning, prompting, NeMo and NIM
Sub Category
- IT Certifications
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Objectives
- Pass the NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) exam using original questions written to the current published study guide
- Explain transformer architecture properly — attention, encoders, decoders, tokenization and embeddings
- Choose correctly between prompting, retrieval augmentation and fine-tuning for a given requirement, and justify the trade-off
- Design retrieval augmented generation pipelines: chunking, vector search, reranking and grounding
- Apply prompt engineering techniques including zero-shot, few-shot, chain-of-thought and structured output
- Evaluate models honestly using the right metrics, benchmarks and human evaluation approaches — a heavily weighted and under-studied area
- Deploy and optimize inference on GPUs, including serving, quantization, batching and latency considerations
- Navigate the NVIDIA AI platform — the NeMo family, NIM microservices, Triton, TensorRT and RAPIDS — and recognise cross-vendor equivalents
- Apply trustworthy AI practice: bias, safety, guardrails, transparency and responsible deployment
Pre Requisites
- No formal prerequisites required to sit the exam
- Basic machine learning knowledge and some Python experience will shorten preparation considerably
- Familiarity with at least one LLM framework or API, whether NVIDIA's or another vendor's
- A machine where you can experiment with a small retrieval or fine-tuning project while reviewing
- Confirm which proctoring platform your exam registration uses, as this changed recently
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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