Try NVIDIA : NCA-GENM valid & accurate questions and answers
Updated: Jul 26, 2026
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NVIDIA NCA-GENM Exam Overview:
| Certification Vendor: | NVIDIA |
| Exam Name: | NVIDIA Generative AI Multimodal Certification Exam (NCA-GENM) |
| Exam Number: | NCA-GENM |
| Exam Format: | Multiple-choice, Scenario-based questions |
| Exam Duration: | 60 minutes |
| Related Certifications: | NVIDIA Certified Associate: Generative AI LLMs (NCA-GENL) |
| Exam Price: | $125 USD |
| Available Languages: | English |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 50-60 |
| 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/ |
NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Core AI and Machine Learning Fundamentals | - Machine learning basics
|
| Generative AI Concepts | - Generative models
|
| Multimodal AI Systems | - Cross-modal learning
|
| NVIDIA AI Ecosystem | - NVIDIA tools and frameworks
|
| Responsible and Trustworthy AI | - Bias and safety considerations - Ethical AI principles |
NVIDIA Generative AI Multimodal Sample Questions:
1. In a multimodal machine learning context, how are different modalities usually linked to each other?
A) Different modalities are linked through random connections.
B) Different modalities are linked through separate models that are ensembled by tree-based models.
C) Different modalities are not linked to each other in a multimodal machine learning context.
D) Different modalities are linked through a shared representation that captures the relationships between the modalities.
2. Which framework is used for conversational AI models development?
A) NVIDIA NeMo
B) NVIDIA Metropolis
C) NVIDIA DeepStream
D) NVIDIA Clara
3. You are evaluating the performance of an AI model for facial recognition. What is an important consideration when evaluating the model for bias?
A) The model's accuracy in recognizing individuals of different races.
B) The model's ability to recognize various facial expressions.
C) The model's compatibility with different operating systems.
D) The model's processing speed in recognizing faces of different races.
4. Which of the following is a disadvantage of the ReLU activation function?
A) It is computationally expensive.
B) It can cause dead neurons.
C) It is not suitable for deep neural networks.
D) It is prone to vanishing gradient problem.
5. What advantage does multimodal learning have over unimodal learning?
A) It is more reliable than unimodal learning.
B) It can capture more complex patterns and relationships in data.
C) It requires fewer data samples for learning.
D) It is easier to collect multimodal data than unimodal data.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: B |
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