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Updated: Jul 24, 2026
No. of Questions: 58 Questions & Answers with Testing Engine
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| Certification Vendor: | NVIDIA |
| Exam Name: | NVIDIA Generative AI Multimodal Certification Exam (NCA-GENM) |
| Exam Number: | NCA-GENM |
| Related Certifications: | NVIDIA Certified Associate: Generative AI LLMs (NCA-GENL) |
| Available Languages: | English |
| Real Exam Qty: | 50-60 |
| Exam Duration: | 60 minutes |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple-choice, Scenario-based questions |
| Exam Price: | $125 USD |
| Recommended Training: | NVIDIA Deep Learning Institute (DLI) Courses |
| Exam Registration: | NVIDIA Certification Portal |
| Sample Questions: | NVIDIA NCA-GENM Sample Questions |
| Exam Way: | Online proctored exam (remote) |
| Pre Condition: | Basic understanding of generative AI and machine learning concepts is recommended; familiarity with Python and neural networks is helpful. |
| Official Syllabus URL: | https://www.nvidia.com/en-us/learn/certification/generative-ai-multimodal-associate/ |
| Section | Objectives |
|---|---|
| Topic 1: Responsible and Trustworthy AI | - Bias and safety considerations - Ethical AI principles |
| Topic 2: NVIDIA AI Ecosystem | - NVIDIA tools and frameworks
|
| Topic 3: Multimodal AI Systems | - Multimodal model design - Cross-modal learning
|
| Topic 4: Generative AI Concepts | - Generative models
|
| Topic 5: Core AI and Machine Learning Fundamentals | - Machine learning basics
|
1. What is a main application of Triton Inference Server?
A) Triton Server can be used to deploy AI models on the GPU only.
B) Triton Server can be used to generate images from pure noise.
C) Triton Server can be used to execute GPU-accelerated graph analysis with cuGraph.
D) Triton Server can be used to deploy neural networks from various frameworks.
2. You have a dataset containing information about sales performance for different regions in the last ten years.
Which type of data visualization would be most appropriate to compare the sales performance across regions on a year-by-year basis?
A) Bar chart
B) Line chart
C) Pie chart
D) Scatter plot
3. In a Generative Adversarial Network (GAN), what is the role of the discriminator?
A) To optimize the training process.
B) To calculate the loss function and update the generator.
C) To generate new data based on the training set.
D) To distinguish between real and generated data.
4. What is the significance of A/B testing in ML software engineering?
A) A/B testing helps in evaluating the performance and effectiveness of different machine learning models.
B) A/B testing helps in optimizing the hyperparameters of a machine learning model.
C) A/B testing is irrelevant in ML software engineering.
D) A/B testing is used to measure the impact of changes in the user interface of a ML application.
5. What does mixed-precision training refer to?
A) Training a model using different types of data, such as text, images, audio, time series, and geospatial information.
B) Training a model using diverse data types while addressing challenges related to missing or incomplete information.
C) Training a model using incomplete or missing information from different modalities.
D) Training a model using multiple precision levels, such as using both single-precision and double- precision floating-point numbers.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: D |
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