NCP-AII Mock Test and Practice Questions
NVIDIA NCP-AII Exam Specifications
- Exam Code:
- NCP-AII
- Exam Name:
- NVIDIA AI Infrastructure
- Provider:
- NVIDIA
- Time:
- 90 min
- Passing Percentage:
- 70%
- Version:
- 6.0
Question Types with Explanations
- 189 Single Select
- 110 Multi Select
299 Questions with Answers
- PDF Printable (Q & A)
- 3 Months
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Real Exam-like Questions and Answers (299 total)
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NVIDIA AI Infrastructure Key Areas for Comparison
For the NVIDIA AI Infrastructure exam, you will develop practical skills in GPU-accelerated architecture design and hardware topology, including accelerators, memory hierarchies, interconnects, and power and thermal considerations, with deployment models spanning on-prem, cloud, and edge environments. You will also master software stacks for AI workloads, optimize data pipelines and I/O for large-scale training and inference, address security and governance, implement monitoring and reliability practices, and manage end-to-end lifecycle workflows from provisioning to scaling.
Core Areas
- Understand core GPU-accelerated computing architectures and how they support AI workloads
- Describe hardware components typical in AI infrastructure, including accelerators, memory hierarchies, and interconnects
- Compare deployment models for AI workloads across on-prem, cloud, and edge environments
- Explain software stacks for AI, covering frameworks, runtimes, drivers, and optimization libraries
- Identify performance optimization strategies such as kernel tuning, memory management, and data pipeline optimization
- Analyze storage, data management, and I/O patterns for large-scale training and inference
- Assess security, governance, and access control practices in AI infrastructure
- Outline monitoring, reliability, and troubleshooting approaches for AI systems
- Explore lifecycle management, including provisioning, scaling, and automation workflows
- Evaluate power, thermal, and efficiency considerations in AI infrastructure design
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