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NVIDIA NCA-GENM exam : NVIDIA Generative AI Multimodal

NCA-GENM Exam Simulator
  • Exam Code: NCA-GENM
  • Exam Name: NVIDIA Generative AI Multimodal
  • Updated: Oct 07, 2026
  • Q & A: 58 Questions and Answers
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NVIDIA NCA-GENM Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Software Development & Engineering15%- Integration and deployment of multimodal AI systems
- Python libraries for multimodal AI
Topic 2: Data Analysis & Visualization10%- Visualization techniques for multimodal data
- Data preprocessing and feature engineering
Topic 3: Performance Optimization10%- Monitoring and improving system efficiency
- Techniques for optimizing AI performance
Topic 4: Core ML & AI Knowledge20%- Key algorithms and techniques
- Basic concepts and terminology
Topic 5: Experimentation25%- Experimental design
- Hypothesis testing
- Model evaluation and comparison
- A/B testing
Topic 6: Multimodal Data15%- Applications and use cases
- Handling and integrating text, image, and audio data
Topic 7: Trustworthy AI5%- Ensuring fairness and transparency
- Ethical considerations in AI development

NVIDIA Generative AI Multimodal Sample Questions:

Question #1

What is the significance of A/B testing in ML software engineering?

  • A. A/B testing is irrelevant in ML software engineering.
  • B. A/B testing helps in optimizing the hyperparameters of a machine learning model.
  • C. A/B testing helps in evaluating the performance and effectiveness of different machine learning models.
  • D. A/B testing is used to measure the impact of changes in the user interface of a ML application.
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Correct Answer: C  πŸ—³οΈ

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Question #2

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 best AI model architecture.
  • C. To study the impact of AI models on human behavior.
  • D. To determine the ethical implications of AI model usage.
Reveal Solution  Discussion  0

Correct Answer: B  πŸ—³οΈ

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Question #3

What does 'kernel fusion' refer to in the context of AI model optimization?

  • A. Applying multiple layers of kernels to improve model accuracy.
  • B. Optimizing model inference by reducing the number of computations by pruning.
  • C. Combining multiple kernels into a single kernel for faster computation.
  • D. Using kernel functions to optimize model hyperparameters.
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Correct Answer: C  πŸ—³οΈ

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Question #4

In the development of Trustworthy AI, what is the significance of 'Certification' as a principle?

  • A. It requires AI systems to be developed with an ethical consideration for societal impacts.
  • B. It involves verifying that AI models are fit for their intended purpose according to regional or industry- specific standards.
  • C. It ensures that AI systems are transparent in their decision-making processes.
  • D. It mandates that AI models comply with relevant laws and regulations specific to their deployment region and industry.
Reveal Solution  Discussion  0

Correct Answer: B  πŸ—³οΈ

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Question #5

Which technique involves leveraging pre-trained models to achieve efficient results with less data and computation?

  • A. Transfer learning
  • B. State management and composition
  • C. Neural network integration
  • D. Prompt engineering
Reveal Solution  Discussion  0

Correct Answer: A  πŸ—³οΈ

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