Exam Name: NVIDIA Generative AI Multimodal
Certification Provider: NVIDIA
Corresponding Certification: NVIDIA-Certified Associate
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NVIDIA Generative AI Multimodal: NCA-GENM Exam Premium File as PDF & Test Engine
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Last Updated: Sep 30, 2026
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NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Trustworthy AI | 5% | - Ensuring fairness and transparency - Ethical considerations in AI development |
| Multimodal Data | 15% | - Handling and integrating text, image, and audio data - Applications and use cases |
| Software Development & Engineering | 15% | - Python libraries for multimodal AI - Integration and deployment of multimodal AI systems |
| Experimentation | 25% | - Experimental design - Hypothesis testing - Model evaluation and comparison - A/B testing |
| Performance Optimization | 10% | - Monitoring and improving system efficiency - Techniques for optimizing AI performance |
| Data Analysis & Visualization | 10% | - Visualization techniques for multimodal data - Data preprocessing and feature engineering |
| Core ML & AI Knowledge | 20% | - Basic concepts and terminology - Key algorithms and techniques |
NVIDIA Generative AI Multimodal Sample Questions:
Which of the following best describes the role of the Hugging Face model repository in ML software development?
- A. A set of NVIDIA SDKs, such as Riva, NeMo, Triton, and ACE, for implementing neural network architectures.
- B. A convenient tool for deploying neural networks for production-scale inference similar to Triton Server.
- C. A library for customizing large language models like GPT, LLaMA-2, and Falcon using the NeMo framework.
- D. A platform for sharing and accessing pre-trained models and transformers for natural language processing.
Correct Answer: D 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
During the process of data cleansing, which of the following steps is NOT typically performed?
- A. Transforming data into a different format
- B. Removing duplicates
- C. Collecting additional data
- D. Identifying and handling missing values
Correct Answer: C 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
What is a common method to reduce the computational cost of deep learning models during inference?
- A. Adding more convolutional filters.
- B. By replacing activation functions in some neurons with simpler ones.
- C. Increasing the batch size.
- D. Pruning weights or neurons.
Correct Answer: D 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
What does 'modality alignment' refer to?
- A. Addressing challenges related to missing or incomplete information across different modalities.
- B. The process of integrating diverse data types such as text, images, audio, time series, and geospatial information.
- C. Aligning different modalities within multimodal data to ensure meaningful connections and associations.
- D. The integration of pretrained models to perform custom tasks involving different types of data.
Correct Answer: C 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
How does CLIP understand the content of both text and images?
- A. By translating images into text and comparing them with the prompt.
- B. By converting text and images into a frequency domain for comparison.
- C. Using contrastive learning to match images with text descriptions.
- D. Through a database of predefined images with their descriptions.
Correct Answer: C 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
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