Exam Name: NVIDIA Generative AI Multimodal
Certification Provider: NVIDIA
Corresponding Certification: NVIDIA-Certified Associate
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Instant Download NCA-GENM Exam Dumps : NVIDIA Generative AI Multimodal
Updated: Sep 20, 2026
No. of Questions: 58 Questions & Answers with Testing Engine
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NVIDIA NCA-GENM Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Multimodal AI Systems | - Cross-modal learning
|
| Core AI and Machine Learning Fundamentals | - Machine learning basics
|
| Generative AI Concepts | - Generative models
|
| Responsible and Trustworthy AI | - Ethical AI principles - Bias and safety considerations |
| NVIDIA AI Ecosystem | - NVIDIA tools and frameworks
|
NVIDIA Generative AI Multimodal Sample Questions:
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 determine the ethical implications of AI model usage.
- C. To study the impact of AI models on human behavior.
- D. To determine the best AI model architecture.
Correct Answer: D 🗳️
Explanation: Only visible for PassLeaderVCE members. You can sign-up / login (it's free).
What is contrastive learning in the context of multimodal deep learning? Pick the 2 correct responses below.
- A. In a multimodal context, usually, contrastive learning decreases the similarity of representations across modalities for the same objects and increases the similarity of representations across modalities for different objects.
- B. Contrastive learning is a technique used to train deep learning models by comparing similar and dissimilar inputs and optimizing the model to maximize the similarity between representations of similar inputs and minimize the similarity between representations of dissimilar inputs.
- C. In a multimodal context, usually, contrastive learning increases the similarity of representations across modalities for the different objects and decreases the similarity of representations across modalities for same objects.
- D. Contrastive learning is a technique used to manipulate and analyze multimodal data using Generative AI.
- E. In a multimodal context, usually, contrastive learning increases the similarity of representations across modalities for the same objects and decreases the similarity of representations across modalities for different objects.
Correct Answer: B,E 🗳️
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What is a common method to reduce the computational cost of deep learning models during inference?
- A. By replacing activation functions in some neurons with simpler ones.
- B. Adding more convolutional filters.
- C. Increasing the batch size.
- D. Pruning weights or neurons.
Correct Answer: D 🗳️
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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 incomplete or missing information from different modalities.
- C. Training a model using multiple precision levels, such as using both single-precision and double- precision floating-point numbers.
- D. Training a model using diverse data types while addressing challenges related to missing or incomplete information.
Correct Answer: C 🗳️
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Which technique involves leveraging pre-trained models to achieve efficient results with less data and computation?
- A. State management and composition
- B. Transfer learning
- C. Prompt engineering
- D. Neural network integration
Correct Answer: B 🗳️
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