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NVIDIA NCA-GENL Exam Practice Questions, practice question pack
NVIDIA · NCA-GENL

NVIDIA NCA-GENL Exam Practice Questions

99% pass rateUpdated 1 Nov 202696 questions2 PDFs by email
5.06 reviews
(6 customer reviews)

US$39

Every question with the correct answer and why the other options are wrong.

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99% pass rate. Pass or your money back.Fail the exam after using this pack and we refund it, or swap it for any other pack. How the guarantee works
Great price and great product! I passed my NVIDIA NCA-GENL exam by learning your excellent dumps. Thanks for your help, I passed my NVIDIA Generative AI LLMs exam today. Keep up the good work!
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Three of the 96 questions in this pack

Question 1

What do we usually refer to as generative AI?

  1. A branch of artificial intelligence that focuses on creating models that can generate new and original data.
  2. A branch of artificial intelligence that focuses on auto generation of models for classification.
  3. A branch of artificial intelligence that focuses on improving the efficiency of existing models.
  4. A branch of artificial intelligence that focuses on analyzing and interpreting existing data.
Show answer and explanation

Correct answer: A. A branch of artificial intelligence that focuses on creating models that can generate new and original data.

Generative AI is specifically designed to create new, original data by learning patterns from existing data. It generates novel outputs such as text, images, or code that didn't exist before, distinguishing it from other AI branches that focus on classification, efficiency improvements, or data analysis.

Why the other options are wrong

  • B. Auto-generation of models for classification describes AutoML, not generative AI.
  • C. Improving efficiency of existing models is model optimization, not generative AI.
  • D. Analyzing and interpreting existing data describes discriminative or analytical AI, not generative AI.

Question 2

Which of the following is an activation function used in neural networks?

  1. Sigmoid function
  2. K-means clustering function
  3. Mean Squared Error function
  4. Diffusion function
Show answer and explanation

Correct answer: A. Sigmoid function

The sigmoid function is a fundamental activation function used in neural networks to introduce non-linearity and map outputs to a probability range between 0 and 1. It is widely used in hidden layers and output layers for binary classification tasks.

Why the other options are wrong

  • B. K-means clustering is a clustering algorithm, not an activation function.
  • C. Mean Squared Error is a loss function used to measure prediction error, not an activation function.
  • D. Diffusion is a generative modeling technique, not an activation function.

Question 3

In ML applications, which machine learning algorithm is commonly used for creating new data based on existing data?

  1. Decision tree
  2. Support vector machine (SVM)
  3. Generative adversarial network (GAN)
  4. K-means clustering
Show answer and explanation

Correct answer: C. Generative adversarial network (GAN)

Generative Adversarial Networks (GANs) are specifically designed to create new data based on existing data by using two neural networks in competition, a generator that creates new samples and a discriminator that evaluates them. This adversarial process produces synthetic data that resembles the original training data.

Why the other options are wrong

  • A. Decision trees are used for classification and regression, not for generating new data.
  • B. Support Vector Machines are discriminative models used for classification, not for data generation.
  • D. K-means clustering is an unsupervised algorithm for grouping data, not for generating new data.

See all 12 free questions Get the full pack, US$39

REVIEWS

6 reviews for NVIDIA NCA-GENL Exam Practice Questions

  1. Simone –

    Great price and great product! I passed my NVIDIA NCA-GENL exam by learning your excellent dumps. Thanks for your help, I passed my NVIDIA Generative AI LLMs exam today. Keep up the good work!

  2. Claudio Kosh –

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  3. Kevin Rousseau –

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How much of the NVIDIA NCA-GENL bank is free?

96 questions in the bank

Each step includes the one before, so buying only adds new questions.

  • You are here10questionsFree sampleThree on this page, all ten as a PDF.Download the sample
  • 1213% of the bankPractice pageFree on the site, every answer explained.Go to the practice page
  • 2526% of the bankHalf PackFree by email, as one PDF, every answer explained.Get the Half Pack
  • 96100%, the whole bankFull pack, US$39Plus the questions-only PDF, monthly updates, refund if you fail.Get the full pack
ABOUT THIS PACK

What’s in the NVIDIA NCA-GENL pack

  • 96 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
  • Delivered by email shortly after checkout
  • 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.

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 50 to 60 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. The prerequisite is a basic understanding of generative AI and large language models. Valid for two years.

Questions before you buy

How quickly do I receive it?

Your PDF is prepared and sent to your email address after checkout, and you get a confirmation as soon as it is on its way.

Are updates included?

Yes. The pack is updated every month for as long as the exam is live, and updates are free for everyone who has bought it.

What if I fail the exam?

We refund the pack, or swap it for any other pack if you would rather keep studying. Sit the exam 7 to 30 days after buying, then send your official score report within 7 days of the exam date, as set out in the refund policy.

What is your pass rate?

99% of customers who prepare with a CertStash pack pass. If you do not, we refund the pack, or swap it for another pack.

Can I share it with colleagues?

Each purchase is licensed to one person. For a team, school or training organisation, email support@certstash.com for a licence that fits.

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