Exam Code: NCA-GENM
Exam Name: NVIDIA Generative AI Multimodal
Certification Provider: NVIDIA
Corresponding Certification: NVIDIA-Certified Associate
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NVIDIA NCA-GENM Exam Syllabus Topics:

SectionWeightObjectives
Multimodal Data15%- Characteristics of text, image, and audio data
- Multimodal model architectures and integration
- Data preprocessing, fusion, and representation
Trustworthy AI5%- Ethical considerations and responsible use
- Reliability, fairness, and safety in generative systems
- Robustness and error mitigation
Software Development and Engineering15%- Development workflows for generative AI applications
- Libraries, frameworks, and tools for multimodal AI
- Best practices for building and maintaining systems
Experimentation25%- Metrics and validation strategies for generative models
- Model training, fine-tuning, and evaluation
- Experiment design and methodology
Performance Optimization10%- Model efficiency and inference optimization
- Hardware acceleration with NVIDIA platforms
- Scalability and deployment considerations
Core Machine Learning and AI Knowledge20%- Fundamental concepts of machine learning and deep learning
- Generative AI principles and techniques
- Neural network architectures relevant to multimodal systems
Data Analysis and Visualization10%- Analyzing multimodal datasets and outputs
- Interpretation of generative AI outputs
- Visualization techniques for model behavior and results

NVIDIA Generative AI Multimodal Sample Questions:

What characteristic of autoencoders makes them suitable for anomaly detection?

  • A. Their capacity to learn a compressed representation of the data.
  • B. Their ability to classify images with high accuracy.
  • C. Their function in enhancing the quality of images.
  • D. Their capability to predict future outcomes based on past data.
Answer: A

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

  • A. Image generation
  • B. Generating code
  • C. Speech recognition
  • D. Semantic analysis
Answer: D

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You have a dataset containing information about sales performance for different regions in the last ten years.
Which type of data visualization would be most appropriate to compare the sales performance across regions on a year-by-year basis?

  • A. Line chart
  • B. Bar chart
  • C. Pie chart
  • D. Scatter plot
Answer: C

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Which framework is used for conversational AI models development?

  • A. NVIDIA Clara
  • B. NVIDIA DeepStream
  • C. NVIDIA NeMo
  • D. NVIDIA Metropolis
Answer: C

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Which metric is commonly used for evaluating Automatic Speech Recognition (ASR) models?

  • A. CTC Loss
  • B. F1 Score
  • C. Word Error Rate (WER)
  • D. Mean Opinion Score (MOS)
Answer: C

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