NCP-AIN Practice Questions and Study Guide
NVIDIA NCP-AIN Exam Specifications
- Exam Code:
- NCP-AIN
- Exam Name:
- NVIDIA-Certified Professional AI Networking
- Provider:
- NVIDIA
- Time:
- 90 min
- Passing Percentage:
- 90%
- Version:
- 6.0
Question Types with Explanations
- 63 Single Select
- 7 Multi Select
70 Questions with Answers
- PDF Printable (Q & A)
- 3 Months
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Real Exam-like Questions and Answers (70 total)
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NVIDIA-Certified Professional AI Networking (NCP-AIN) by NVIDIA: Syllabus Guide
The NVIDIA-Certified Professional AI Networking exam validates knowledge of AI networking concepts, GPU interconnect architectures, data flow for ML workloads, and planning data center fabrics and traffic engineering to support scalable AI. It also assesses practical skills in designing distributed training and inference across clusters, implementing container orchestration with GPU networking, enforcing security and access controls, monitoring and troubleshooting, tuning performance, capacity planning, and ensuring high availability through fault tolerance and disaster recovery with scalable deployment patterns.
Detailed Syllabus
- Understand AI networking concepts and data flow for ML workloads
- Explore GPU-accelerated interconnects, architectures, and bandwidth optimization
- Design networking for distributed training and inference across clusters
- Plan data center fabric design and traffic engineering for AI workloads
- Implement container orchestration with GPU networking integrations
- Enforce security, access control, and policy in AI networking environments
- Monitor observability, telemetry, and troubleshooting for AI networks
- Optimize performance through tuning, benchmarking, and capacity planning
- Ensure high availability, fault tolerance, and disaster recovery in AI networks
- Adopt deployment patterns and best practices for scalable AI networking
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