NVIDIA NCA-GENM Exam : NVIDIA Generative AI Multimodal

Exam Code: NCA-GENM
Exam Name: NVIDIA Generative AI Multimodal
Updated: Oct 03, 2026
Q & A: 58 Questions and Answers

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NVIDIA NCA-GENM Exam Syllabus Topics:

Section	Weight	Objectives
Experimentation	25%	- A/B testing - Hypothesis testing - Model evaluation and comparison - Experimental design
Software Development & Engineering	15%	- Python libraries for multimodal AI - Integration and deployment of multimodal AI systems
Performance Optimization	10%	- Monitoring and improving system efficiency - Techniques for optimizing AI performance
Data Analysis & Visualization	10%	- Data preprocessing and feature engineering - Visualization techniques for multimodal data
Core ML & AI Knowledge	20%	- Key algorithms and techniques - Basic concepts and terminology
Trustworthy AI	5%	- Ethical considerations in AI development - Ensuring fairness and transparency
Multimodal Data	15%	- Handling and integrating text, image, and audio data - Applications and use cases

NVIDIA Generative AI Multimodal Sample Questions:

Question #1

In LLM evaluation, what does "zero-shot learning" refer to?

A. The model's performance after extensive training
B. The model's ability to perform tasks it has not been explicitly trained on
C. A technique to reduce training time to zero
D. The model's ability to learn from zero examples

Reveal Solution Discussion 0

Correct Answer: B 🗳️