NCA-GENM Mock Test and Practice Questions
NVIDIA NCA-GENM Exam Specifications
- Exam Code:
- NCA-GENM
- Exam Name:
- NVIDIA Generative AI Multimodal
- Provider:
- NVIDIA
- Time:
- 60 min
- Passing Percentage:
- 50%
- Version:
- 6.0
Question Types with Explanations
- 278 Single Select
- 123 Multi Select
401 Questions with Answers
- PDF Printable (Q & A)
- 3 Months
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Real Exam-like Questions and Answers (401 total)
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NVIDIA Generative AI Multimodal Key Areas for Comparison
For the NVIDIA Generative AI Multimodal exam, you’ll cover the fundamentals of combining different data modalities into coherent architectures, master cross-modal reasoning across text, images and other signals, and learn to curate, annotate, and preprocess data for reliable training with safety and bias considerations. You’ll also gain hands-on skills in optimizing models for scalable use, including quantization and efficient inference, designing prompts and interaction controls for multimodal outputs, and selecting on-device or cloud deployment while upholding privacy and governance, plus evaluating performance with appropriate metrics.
Core Areas
- Foundations of multimodal AI architectures and data modalities
- Cross-modal understanding and reasoning across text, image, and other signals
- Evaluation and benchmarking across modalities, including metric trade-offs
- Data curation, labeling, and preprocessing for multimodal training pipelines
- Safety, alignment, bias mitigation, and ethical considerations in multimodal systems
- Model optimization, quantization, and inference strategies for scalable deployment
- Prompt engineering, control signals, and interaction design for multimodal outputs
- Deployment patterns: on-device versus cloud, privacy and data governance
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