NCA-GENM exam dumps

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  • Exam Code: NCA-GENM
  • Exam Name: NVIDIA Generative AI Multimodal
  • No. of Questions: 58 Questions and Answers
  • Updated: Sep 08, 2026

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NVIDIA NCA-GENM Exam Syllabus Topics:

SectionObjectives
Topic 1: NVIDIA AI Ecosystem- NVIDIA tools and frameworks
  • 1. GPU-accelerated AI workflows
    • 2. NeMo framework usage
      Topic 2: Multimodal AI Systems- Multimodal model design
      - Cross-modal learning
      • 1. Text-image integration
        • 2. Audio-visual understanding
          Topic 3: Generative AI Concepts- Generative models
          • 1. Diffusion models
            • 2. Transformers and LLM basics
              Topic 4: Responsible and Trustworthy AI- Ethical AI principles
              - Bias and safety considerations
              Topic 5: Core AI and Machine Learning Fundamentals- Machine learning basics
              • 1. Neural networks fundamentals
                • 2. Supervised and unsupervised learning

                  NVIDIA Generative AI Multimodal Sample Questions:

                  In machine learning, what is the purpose of data normalization?

                  • A. To convert data into a specific format for easier analysis.
                  • B. To reduce the dimensionality of the dataset.
                  • C. To remove irrelevant data from the dataset.
                  • D. To increase the complexity of the dataset.
                  Answer: A

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

                  Which visualization technique is suitable for representing the distribution of performance scores for different multimodal ML models over different modalities?

                  • A. Box plot
                  • B. Pie chart
                  • C. Histogram
                  • D. Heatmap
                  Answer: A

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

                  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.
                  Answer: B

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

                  What advantage does multimodal learning have over unimodal learning?

                  • A. It is easier to collect multimodal data than unimodal data.
                  • B. It requires fewer data samples for learning.
                  • C. It can capture more complex patterns and relationships in data.
                  • D. It is more reliable than unimodal learning.
                  Answer: C

                  Explanation: Only visible for PrepAwayTest 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. Increasing the batch size.
                  • C. Pruning weights or neurons.
                  • D. By replacing activation functions in some neurons with simpler ones.
                  Answer: C

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