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: Oct 06, 2026

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  • Total Questions: 58
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  • Total Questions: 58
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NVIDIA NCA-GENM Exam Syllabus Topics:

SectionObjectives
Generative AI Concepts- Generative models
  • 1. Diffusion models
    • 2. Transformers and LLM basics
      Responsible and Trustworthy AI- Bias and safety considerations
      - Ethical AI principles
      NVIDIA AI Ecosystem- NVIDIA tools and frameworks
      • 1. NeMo framework usage
        • 2. GPU-accelerated AI workflows
          Core AI and Machine Learning Fundamentals- Machine learning basics
          • 1. Neural networks fundamentals
            • 2. Supervised and unsupervised learning
              Multimodal AI Systems- Multimodal model design
              - Cross-modal learning
              • 1. Text-image integration
                • 2. Audio-visual understanding

                  NVIDIA Generative AI Multimodal Sample Questions:

                  Which technique is commonly used to speed up AI model training and inference on hardware accelerators?

                  • A. Dropout
                  • B. Quantization
                  • C. Model enlargement
                  • D. Data augmentation
                  Reveal Solution  Discussion  0

                  Correct Answer: B  🗳️

                  Explanation: Only visible for PrepAwayETE members. You can sign-up / login (it's free).

                  Which of the following is a disadvantage of the ReLU activation function?

                  • A. It is computationally expensive.
                  • B. It is prone to vanishing gradient problem.
                  • C. It is not suitable for deep neural networks.
                  • D. It can cause dead neurons.
                  Reveal Solution  Discussion  0

                  Correct Answer: D  🗳️

                  Explanation: Only visible for PrepAwayETE members. You can sign-up / login (it's free).

                  In multimodal machine learning, what does 'early fusion' refer to?

                  • A. Ignoring certain modalities and only using one modality for analysis and prediction.
                  • B. Training separate models for each modality and then combining their predictions.
                  • C. Integrating different modalities at the beginning of the model pipeline.
                  • D. Implementing the model in the early stages of development of the ML solution.
                  Reveal Solution  Discussion  0

                  Correct Answer: C  🗳️

                  Explanation: Only visible for PrepAwayETE members. You can sign-up / login (it's free).

                  Assume you need to implement a multimodal pipeline to diagnose brain cancer type using MRI scans and their corresponding radiology reports. What do you need to include in the ablation study?

                  • A. Directly combining MRI scans and radiology reports into a single input stream without preprocessing or modality-specific adjustments.
                  • B. More advanced natural language processing techniques to interpret radiology reports, ignoring the MRI scans' diagnostic value.
                  • C. Implementing separate unimodal pipelines for each modality to ensure the data is informative and the model design is accurate.
                  • D. Training a deep learning model using the images in the dataset to find outliers and enhancing the quality of MRI scans using image processing techniques.
                  Reveal Solution  Discussion  0

                  Correct Answer: C  🗳️

                  Explanation: Only visible for PrepAwayETE members. You can sign-up / login (it's free).

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

                  Correct Answer: D  🗳️

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