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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA Certified Associate: Generative AI LLMs |
| Exam Number: | NCA-GENL |
| Real Exam Qty: | 50-60 |
| Exam Format: | Multiple-choice |
| Related Certifications: | NVIDIA Certified Professional: Generative AI LLMs (NCP-GENL) NVIDIA Certified Associate: Generative AI Multimodal (NCA-GENM) |
| Certificate Validity Period: | 2 years |
| Available Languages: | English |
| Exam Duration: | 60 minutes |
| Exam Price: | $125 USD |
| Recommended Training: | NVIDIA Deep Learning Institute (DLI) Generative AI with LLMs Certification Page |
| Exam Registration: | Official NVIDIA Certification Page |
| Sample Questions: | DOWNLOAD DEMO |
| 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/ |
| Section | Objectives |
|---|---|
| Experimentation | - Experiment design - Model evaluation and iteration |
| Software Development | - LLM integration and deployment basics - Python for AI/LLMs |
| Trustworthy AI | - Bias and hallucination awareness - AI safety and responsible AI principles |
| Core Machine Learning and AI Knowledge | - Neural networks fundamentals - Transformer architecture and LLM basics - Prompt engineering basics |
| Data Analysis and Visualization | - Data preprocessing - Feature engineering and augmentation |
NVIDIA Generative AI LLMs is an official NVIDIA certification exam, registered under the code NCA-GENL. Passing it awards the NVIDIA Certified Associate certification, a credential at the Associate level. It also connects to NVIDIA Certified Associate: Generative AI Multimodal (NCA-GENM), NVIDIA Certified Professional: Generative AI LLMs (NCP-GENL). The exam is demanding by design, and that difficulty is precisely what makes the credential meaningful for career development.
The NVIDIA Generative AI LLMs exam presents 50-60 questions within 60 minutes. That is a brisk pace, and the candidates who handle it best are the ones who rehearsed it. Use the Actual4Labs engine for full timed simulations, practice flagging and returning, and arrive on exam day with a pacing strategy already proven.
Basic understanding of generative AI and large language models is recommended
Policies get revised, so confirm the current requirements before you register on the official exam page.
NVIDIA Generative AI LLMs registration is handled through the official channels below.
For scheduling purposes: the exam is delivered Online proctored remote exam.
Yes, NVIDIA recommends the following training for NVIDIA Generative AI LLMs candidates.
Complement any training with the 97 practice questions in the Actual4Labs NCA-GENL package, because repeated application is what turns course knowledge into a passing score.
Yes. Actual4Labs offers a free demo of the NVIDIA Generative AI LLMs questions, so you can verify the quality personally before purchasing. Your purchase then includes a one-year service warranty: updates are free for 365 days, and after expiry you can extend the update service at a 50% discount.
Your money is protected by a 100% money-back guarantee with defined conditions. Take the NVIDIA Generative AI LLMs exam within 60 days of purchase; if you fail, you may claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. You may instead wait for the update version or change to other exam material: exchange for two other exam products of equal value, free, with your original purchase keeping its update service.
Delivery is instant: files unlock for download at payment and are emailed within one minute. If nothing arrives within 2 hours, check spam and contact customer service, online 7/24 even on official holidays. Installation is unlimited across your computers.
NVIDIA Generative AI LLMs is organized into 5 official domains. The most heavily weighted are Trustworthy AI, Core Machine Learning and AI Knowledge, and Experimentation. The full breakdown appears above on this page; study the weightings and your preparation priorities set themselves.
You are using RAPIDS and Python for a data analysis project. Which pair of statements best explains how RAPIDS accelerates data science?
Correct Answer: B 🗳️
Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).
How can Retrieval Augmented Generation (RAG) help developers to build a trustworthy AI system?
Correct Answer: D 🗳️
Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).
Which principle of Trustworthy AI primarily concerns the ethical implications of AI's impact on society and includes considerations for both potential misuse and unintended consequences?
Correct Answer: A 🗳️
Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).
In the context of preparing a multilingual dataset for fine-tuning an LLM, which preprocessing technique is most effective for handling text from diverse scripts (e.g., Latin, Cyrillic, Devanagari) to ensure consistent model performance?
Correct Answer: C 🗳️
Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).
Which of the following is a parameter-efficient fine-tuning approach that one can use to fine-tune LLMs in a memory-efficient fashion?
Correct Answer: A 🗳️
Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).
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