NVIDIA NCA-GENM : NVIDIA Generative AI Multimodal

  • Exam Code: NCA-GENM
  • Exam Name: NVIDIA Generative AI Multimodal
  • Updated: Oct 11, 2026
  • Q & A: 58 Questions and Answers

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NVIDIA NCA-GENM Exam Syllabus Topics:

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

                  NVIDIA Generative AI Multimodal Sample Questions:

                  Question #1

                  Which metric is commonly used to evaluate machine-translation models?

                  • A. Mean Absolute Error (MAE)
                  • B. F1 score
                  • C. Accuracy
                  • D. BLEU score
                  Reveal Solution  Discussion  0

                  Correct Answer: D  🗳️

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                  Question #2

                  Which of the following best describes the role of machine learning in handling multimodal data?

                  • A. To focus on textual data analysis.
                  • B. To reduce the amount of data needed for accurate predictions.
                  • C. To enable models to learn from and interpret diverse data types.
                  • D. To eliminate the need for human intervention in data analysis.
                  Reveal Solution  Discussion  0

                  Correct Answer: C  🗳️

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                  Question #3

                  Which of the following tasks can be performed using the transformer LLM encoder model?

                  • A. Speech recognition
                  • B. Generating code
                  • C. Image generation
                  • D. Semantic analysis
                  Reveal Solution  Discussion  0

                  Correct Answer: D  🗳️

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                  Question #4

                  During the process of data cleansing, which of the following steps is NOT typically performed?

                  • A. Collecting additional data
                  • B. Identifying and handling missing values
                  • C. Transforming data into a different format
                  • D. Removing duplicates
                  Reveal Solution  Discussion  0

                  Correct Answer: A  🗳️

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                  Question #5

                  What does 'modality alignment' refer to?

                  • A. Aligning different modalities within multimodal data to ensure meaningful connections and associations.
                  • B. The process of integrating diverse data types such as text, images, audio, time series, and geospatial information.
                  • C. The integration of pretrained models to perform custom tasks involving different types of data.
                  • D. Addressing challenges related to missing or incomplete information across different modalities.
                  Reveal Solution  Discussion  0

                  Correct Answer: A  🗳️

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