The NVIDIA Generative AI LLMs exam has a reputation for tripping up even experienced professionals. Lead2Passed built its NCA-GENL practice test around 97 expert-verified questions so you can walk in knowing what to expect.
NVIDIA NCA-GENL Exam Overview:
| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | Generative AI LLMs Associate Certification Exam |
| Exam Number: | NCA-GENL |
| Related Certifications: | NVIDIA-Certified Professional: Generative AI LLMs (NCP-GENL) |
| Certificate Validity Period: | 2 years |
| Passing Score: | Not officially published; typically approx. 70% |
| Exam Duration: | 60 minutes |
| Available Languages: | Chinese, English |
| Exam Format: | Single-answer, Multiple-choice, Multiple-select |
| Real Exam Qty: | 50–60 |
| Exam Price: | $125 USD |
| Recommended Training: | NVIDIA Generative AI Training Courses |
| Exam Registration: | NVIDIA Certification Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online remote proctored exam |
| Pre Condition: | No formal prerequisites; recommended basic understanding of generative AI, large language models, and Python programming |
| Official Syllabus URL: | https://www.nvidia.com/en-us/learn/certification/generative-ai-llm-associate/ |
NVIDIA NCA-GENL Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Large Language Models Architecture | 25% | - Transformer architecture
|
| Data Processing and Experimentation | 15% | - Data preparation
|
| Machine Learning and Neural Networks Fundamentals | 15% | - Neural network principles
|
| Prompt Engineering and Alignment | 20% | - Model alignment
|
| NVIDIA Ecosystem and Tools | 15% | - LLM frameworks and libraries
|
| Ethics, Safety and Best Practices | 10% | - Responsible AI
|
Common Questions Candidates Ask About NCA-GENL
The NCA-GENL exam (NVIDIA Generative AI LLMs) is the official NVIDIA exam that leads to the NVIDIA-Certified Associate: Generative AI LLMs certification, a credential at the Associate level. Related certifications include NVIDIA-Certified Professional: Generative AI LLMs (NCP-GENL). Lead2Passed provides 97 practice questions to help you prepare for it with confidence.
The NCA-GENL exam contains 50–60 questions and gives you 60 minutes to finish them. Before exam day, divide the total time by the question count so you know the pace you need to keep, and flag difficult items instead of getting stuck on them. Running at least one full timed session in the Lead2Passed test engine is the best way to make that time pressure feel familiar.
You need Not officially published; typically approx. 70% to pass, and the official registration fee is $125 USD. Keep in mind that a failed attempt means paying that fee in full again, so it pays to test yourself first. When your scores on the Lead2Passed timed practice tests stay consistently above the passing line, you are ready to book the exam.
No formal prerequisites; recommended basic understanding of generative AI, large language models, and Python programming Requirements can change over time, so always double-check the latest eligibility rules before you register on the official NVIDIA exam page.
You can book your exam through the official registration channels:
The exam is delivered in the following way: Online remote proctored exam.
NVIDIA recommends the following training options for this exam:
Official courses build the foundation, and the NCA-GENL practice questions from Lead2Passed help you turn that knowledge into exam-day performance.
Yes. Lead2Passed offers a free NCA-GENL PDF demo so you can check the quality of the practice questions before purchasing. After you buy, your product comes with 365 days of free updates, and if it expires you can renew the update service at a 50% discount from your member zone.
Your purchase is protected by our 100% Money Back Guarantee. If you take the corresponding NCA-GENL exam within 60 days of purchase and do not pass, send us a scan of your enrollment slip and the official Score Report PDF within two days of the exam, and the full refund will be processed within seven days. The candidate name must match the payer name; exams taken within three days of purchase, free materials, and expired orders are not eligible. If you would rather not refund, you can exchange your product for two free products of equal value and keep the update service on your original purchase. Delivery itself is instant: your material is available for download and is emailed to you within one minute of payment. If nothing arrives within two hours, contact our support team. There is no limit on how many computers you may install it on.
The NCA-GENL syllabus is organized into 6 exam domains. Among the first three are Ethics, Safety and Best Practices (10%), Machine Learning and Neural Networks Fundamentals (15%), NVIDIA Ecosystem and Tools (15%). For the complete breakdown of topics and subtopics, see the Exam Topics section above.
NVIDIA Generative AI LLMs Sample Questions:
How does A/B testing contribute to the optimization of deep learning models' performance and effectiveness in real-world applications? (Pick the 2 correct responses)
- A. A/B testing helps validate the impact of changes or updates to deep learning models by statistically analyzing the outcomes of different versions to make informed decisions for model optimization.
- B. A/B testing guarantees immediate performance improvements in deep learning models without the need for further analysis or experimentation.
- C. A/B testing in deep learning models is primarily used for selecting the best training dataset without requiring a model architecture or parameters.
- D. A/B testing is irrelevant in deep learning as it only applies to traditional statistical analysis and not complex neural network models.
- E. A/B testing allows for the comparison of different model configurations or hyperparameters to identify the most effective setup for improved performance.
Correct Answer: A,E 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
Transformers are useful for language modeling because their architecture is uniquely suited for handling which of the following?
- A. Translations
- B. Class tokens
- C. Long sequences
- D. Embeddings
Correct Answer: C 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
What metrics would you use to evaluate the performance of a RAG workflow in terms of the accuracy of responses generated in relation to the input query? (Choose two.)
- A. Context precision
- B. Tokens generated per second
- C. Retriever latency
- D. Response relevancy
- E. Generator latency
Correct Answer: A,D 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
When comparing and contrasting the ReLU and sigmoid activation functions, which statement is true?
- A. ReLU and sigmoid both have a range of 0 to 1.
- B. ReLU is a linear function while sigmoid is non-linear.
- C. ReLU is more computationally efficient, but sigmoid is better for predicting probabilities.
- D. ReLU is less computationally efficient than sigmoid, but it is more accurate than sigmoid.
Correct Answer: C 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
In the context of data preprocessing for Large Language Models (LLMs), what does tokenization refer to?
- A. Splitting text into smaller units like words or subwords.
- B. Converting text into numerical representations.
- C. Removing stop words from the text.
- D. Applying data augmentation techniques to generate more training data.
Correct Answer: A 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
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