NVIDIA NCA-GENL : NVIDIA Generative AI LLMs

NCA-GENL real exams

Exam Code: NCA-GENL

Exam Name: NVIDIA Generative AI LLMs

Updated: Nov 13, 2026

Q & A: 97 Questions and Answers

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NVIDIA NCA-GENL Exam Overview:

Certification Vendor:NVIDIA
Exam Name:NVIDIA Certified Associate: Generative AI LLMs
Exam Number:NCA-GENL
Exam Format:Multiple-choice
Certificate Validity Period:2 years
Exam Price:$125 USD
Available Languages:English
Related Certifications:NVIDIA Certified Associate: Generative AI Multimodal (NCA-GENM)
NVIDIA Certified Professional: Generative AI LLMs (NCP-GENL)
Real Exam Qty:50-60
Exam Duration:60 minutes
Recommended Training:Generative AI with LLMs Certification Page
NVIDIA Deep Learning Institute (DLI)
Exam Registration:Official NVIDIA Certification Page
Sample Questions:Free Download NCA-GENL bootcamp pdf
Exam Way:Online proctored remote exam
Pre Condition:Basic understanding of generative AI and large language models is recommended
Official Syllabus URL:https://www.nvidia.com/en-us/learn/certification/generative-ai-llm-associate/

NVIDIA NCA-GENL Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Analysis and Visualization- Feature engineering and augmentation
- Data preprocessing
Topic 2: Trustworthy AI- Bias and hallucination awareness
- AI safety and responsible AI principles
Topic 3: Experimentation- Model evaluation and iteration
- Experiment design
Topic 4: Software Development- Python for AI/LLMs
- LLM integration and deployment basics
Topic 5: Core Machine Learning and AI Knowledge- Neural networks fundamentals
- Prompt engineering basics
- Transformer architecture and LLM basics

Practicing for the NVIDIA Generative AI LLMs Exam: FAQ

After each practice session, the online test engine records which questions you answered incorrectly and reminds you to revisit them in your next round. Reviewing your own mistakes daily shows you clearly where your weaknesses and strengths lie, so every session builds on the last instead of starting from scratch.

The NVIDIA Generative AI LLMs exam contains 50-60 questions, and you will have 60 minutes minutes to complete them. Practicing the full volume under a timer is the closest thing to rehearsing the real exam.

Yes. The online test engine lets you set a time limit for each practice session, so you can train yourself to allocate minutes per question the way you will need to in the real NCA-GENL exam. Working under a clock at home makes time pressure on exam day feel routine rather than alarming.

Basic understanding of generative AI and large language models is recommended

You can confirm the current eligibility requirements on the official NCA-GENL exam page before you register.

The NVIDIA Generative AI LLMs practice questions are organized around the official exam objectives. Key topics include:

  • Software Development ()
  • Data Analysis and Visualization ()
  • Core Machine Learning and AI Knowledge ()

Daily practice mapped to these topics keeps your preparation balanced across the whole syllabus.

You can register for the NVIDIA Generative AI LLMs exam through the official channels:

This package includes 97 practice questions for the NVIDIA Generative AI LLMs exam. Every answer is verified by an experienced team of experts, so you can trust what you study.

NVIDIA Generative AI LLMs Sample Questions:

Question #1

When designing an experiment to compare the performance of two LLMs on a question-answering task, which statistical test is most appropriate to determine if the difference in their accuracy is significant, assuming the data follows a normal distribution?

  • A. ANOVA test
  • B. Mann-Whitney U test
  • C. Chi-squared test
  • D. Paired t-test
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #2

What are some methods to overcome limited throughput between CPU and GPU? (Pick the 2 correct responses)

  • A. Using techniques like memory pooling.
  • B. Increase the clock speed of the CPU.
  • C. Upgrade the GPU to a higher-end model.
  • D. Increase the number of CPU cores.
Reveal Solution  Discussion  0

Correct Answer: A,C  🗳️

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Question #3

Which of the following optimizations are provided by TensorRT? (Choose two.)

  • A. Variable learning rate
  • B. Layer Fusion
  • C. Residual connections
  • D. Multi-Stream Execution
  • E. Data augmentation
Reveal Solution  Discussion  0

Correct Answer: B,D  🗳️

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Question #4

Which technology will allow you to deploy an LLM for production application?

  • A. Git
  • B. Pandas
  • C. Falcon
  • D. Triton
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for PassTorrent members. You can sign-up / login (it's free).

Question #5

What is a foundation model in the context of Large Language Models (LLMs)?

  • A. Any model based on the foundation paper "Attention is all you need," that uses recurrent neural networks and convolution layers.
  • B. A model that sets the state-of-the-art results for any of the tasks that compose the General Language Understanding Evaluation (GLUE) benchmark.
  • C. Any model validated by the artificial intelligence safety institute as the foundation for building transformer-based applications.
  • D. Any model trained on vast quantities of data at scale whose goal is to serve as a starter that can be adapted to a variety of downstream tasks.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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