NCA-GENM exam dumps

NVIDIA NCA-GENM Value Package

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  • Exam Code: NCA-GENM
  • Exam Name: NVIDIA Generative AI Multimodal
  • No. of Questions: 58 Questions and Answers
  • Updated: Sep 19, 2026

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NVIDIA NCA-GENM Exam Syllabus Topics:

SectionWeightObjectives
Multimodal Data15%- Handling and integrating text, image, and audio data
- Applications and use cases
Experimentation25%- Experimental design
- Hypothesis testing
- A/B testing
- Model evaluation and comparison
Performance Optimization10%- Techniques for optimizing AI performance
- Monitoring and improving system efficiency
Software Development & Engineering15%- Python libraries for multimodal AI
- Integration and deployment of multimodal AI systems
Trustworthy AI5%- Ensuring fairness and transparency
- Ethical considerations in AI development
Data Analysis & Visualization10%- Visualization techniques for multimodal data
- Data preprocessing and feature engineering
Core ML & AI Knowledge20%- Key algorithms and techniques
- Basic concepts and terminology

NVIDIA Generative AI Multimodal Sample Questions:

In the transformer architecture, what is the purpose of positional encoding?

  • A. To encode the importance of each token in the input sequence.
  • B. To encode the semantic meaning of each token in the input sequence.
  • C. To remove redundant information from the input sequence.
  • D. To add information about the order of each token in the input sequence.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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You are tasked with developing an image processing model using machine learning. You need to classify thousands of labeled images of cats and dogs. Which algorithm is commonly used for image classification?

  • A. Linear Regression
  • B. Decision Trees
  • C. K-Means Clustering
  • D. Convolutional Neural Networks (CNN)
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Correct Answer: D  🗳️

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How does CLIP understand the content of both text and images?

  • A. By translating images into text and comparing them with the prompt.
  • B. Using contrastive learning to match images with text descriptions.
  • C. Through a database of predefined images with their descriptions.
  • D. By converting text and images into a frequency domain for comparison.
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Correct Answer: B  🗳️

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What is the role of CLIP (Contrastive Language-Image Pretraining) in text-to-image generation?

  • A. CLIP is used to generate image captions from textual input.
  • B. CLIP provides a common embedding space for both the textual and image modalities.
  • C. CLIP is used to enhance datasets through data augmentation for text-to-image generation.
  • D. CLIP is used to convert textual input into image embeddings.
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Correct Answer: B  🗳️

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

  • A. A technique to reduce training time to zero
  • B. The model's ability to perform tasks it has not been explicitly trained on
  • C. The model's ability to learn from zero examples
  • D. The model's performance after extensive training
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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