Learn with NVIDIA : NCA-GENM training material for 100% pass
Updated: Nov 04, 2026
No. of Questions: 58 Questions & Answers with Testing Engine
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NVIDIA NCA-GENM Exam Overview:
| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA Certified Associate - Generative AI Multimodal |
| Exam Number: | NCA-GENM |
| Exam Duration: | 60 minutes |
| Real Exam Qty: | 50-60 |
| Exam Price: | $125 USD |
| Related Certifications: | NVIDIA Certified Associate - Generative AI LLMs (NCA-GENL) NVIDIA Certified Associate - AI Infrastructure and Operations (NCA-AIIO) |
| Available Languages: | English |
| Exam Format: | Multiple-choice |
| Passing Score: | Not publicly disclosed |
| Certificate Validity Period: | 2 years |
| Sample Questions: | NVIDIA NCA-GENM Sample Questions |
| Exam Way: | Online, remotely proctored |
| Pre Condition: | A basic understanding of generative AI and multimodal models. |
| Official Syllabus URL: | https://www.nvidia.com/en-us/learn/certification/generative-ai-multimodal/ |
NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Software Development & Engineering | 15% | - Integration and deployment of multimodal AI systems - Python libraries for multimodal AI |
| Topic 2: Core ML & AI Knowledge | 20% | - Key algorithms and techniques - Basic concepts and terminology |
| Topic 3: Multimodal Data | 15% | - Applications and use cases - Handling and integrating text, image, and audio data |
| Topic 4: Performance Optimization | 10% | - Monitoring and improving system efficiency - Techniques for optimizing AI performance |
| Topic 5: Data Analysis & Visualization | 10% | - Data preprocessing and feature engineering - Visualization techniques for multimodal data |
| Topic 6: Trustworthy AI | 5% | - Ethical considerations in AI development - Ensuring fairness and transparency |
| Topic 7: Experimentation | 25% | - Experimental design - Model evaluation and comparison - Hypothesis testing - A/B testing |
NVIDIA Generative AI Multimodal Sample Questions:
Which of the following tasks can be performed using the transformer LLM encoder model?
- A. Speech recognition
- B. Generating code
- C. Semantic analysis
- D. Image generation
Correct Answer: C 🗳️
Explanation: Only visible for Exam4Labs members. You can sign-up / login (it's free).
Which metric is commonly used to evaluate machine-translation models?
- A. Accuracy
- B. Mean Absolute Error (MAE)
- C. BLEU score
- D. F1 score
Correct Answer: C 🗳️
Explanation: Only visible for Exam4Labs members. You can sign-up / login (it's free).
You are conducting an experiment to evaluate the performance of different AI models. What is the purpose of AI model evaluation?
- A. To analyze the cost-effectiveness of AI model development.
- B. To study the impact of AI models on human behavior.
- C. To determine the best AI model architecture.
- D. To determine the ethical implications of AI model usage.
Correct Answer: C 🗳️
Explanation: Only visible for Exam4Labs members. You can sign-up / login (it's free).
You are working with a large dataset and want to visualize the distribution of a continuous variable. Which type of data visualization would be most appropriate?
- A. Pie chart
- B. Line chart
- C. Bar chart
- D. Histogram chart
Correct Answer: D 🗳️
Explanation: Only visible for Exam4Labs members. You can sign-up / login (it's free).
You want to evaluate the performance of an AI model. Which of the following is a method for AI model evaluation?
- A. Calculating the loss function of the model on the training set.
- B. Randomly selecting data points from the training set and calculating the accuracy of the model on these data points.
- C. Interviewing the developers of the AI model to assess its performance.
- D. Calculating the model's accuracy from randomly selected data points from the dataset not used during the model's training.
Correct Answer: D 🗳️
Explanation: Only visible for Exam4Labs members. You can sign-up / login (it's free).
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