NVIDIA NCP-AIN Exam Syllabus
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Before starting your NCP-AIN exam preparation, it is recommended to review the complete NVIDIA AI Networking exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free NCP-AIN questions. We also provide premium NCP-AIN practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.
NVIDIA NCP-AIN Exam Objectives
| Section | Weight | Objectives |
|---|---|---|
| Architecture | 20% | Identify and differentiate between AI factory and AI data center architectures.
Compare and contrast Ethernet and InfiniBand networking technologies.
Identify appropriate storage types for AI networking architectures based on performance, scalability, and cost considerations.
|
| Spectrum-X Configuration, Optimization, Security, and Troubleshooting | 40% | Configure, monitor, and maintain NVIDIA Spectrum-X switches. Create performance baseline results and troubleshoot performance issues. Be proficient using tools such as CloudAI benchmark, NCCL, and NetQ. Use DPUs to improve network performance. Create telemetry baseline results using tools such as Grafana and SNMP. |
| InfiniBand Configuration, Optimization, Security, and Troubleshooting | 40% | Configure, monitor, and maintain NVIDIA InfiniBand switches. Configure InfiniBand network fabric for multi-tenancy. Configure InfiniBand subnet manager. Test network connectivity. Use UFM to analyze and troubleshoot InfiniBand networks. Validate rail-optimized topology. |
| Official Information | https://www.nvidia.com/en-us/learn/certification/ai-networking-professional/ |
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