NVIDIA NCP-AIN Exam Details & Actual Exam Questions
- Exam Code/Number: NCP-AIN
- Exam Name/Title: NVIDIA-Certified Professional AI Networking
- Certification Provider: NVIDIA
- Corresponding Certification: NVIDIA-Certified Professional
- Exam Questions: 90
- Updated On: Jul,14 2026
- Certification Level: Professional
NVIDIA-Certified Professional AI Networking Exam Questions
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(33 Up Votes)NVIDIA NCP-AIN Exam Overview:
| Certification Vendor: | NVIDIA |
| Exam Name: | NVIDIA-Certified Professional AI Networking |
| Exam Number: | NCP-AIN |
| Passing Score: | Not publicly specified by NVIDIA |
| Related Certifications: | NVIDIA Certified Professional AI Networking |
| Exam Price: | USD 235 |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Exam Format: | Multiple-choice, Multiple-select |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 60 |
| Sample Questions: | NVIDIA NCP-AIN Sample Questions |
| Exam Way: | Available both online (proctored) and at Pearson VUE test centers |
| Pre Condition: | Candidates should have experience with networking fundamentals and AI/ML infrastructure. Recommended to have completed NVIDIA AI Networking training courses. |
| Official Syllabus URL: | https://www.nvidia.com/en-us/training/certification/ncp-ain/ |
NVIDIA NCP-AIN Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Network Monitoring and Troubleshooting | - UFM monitoring and alerting capabilities - Monitoring tools and telemetry for AI fabrics - Error handling and recovery - Performance analysis and congestion management - Link-level and fabric-level troubleshooting |
| Topic 2: Network Configuration and Provisioning | - InfiniBand fabric bring-up and configuration - VXLAN and overlay networking for AI - RoCE network configuration - Cumulus Linux and SONiC network OS fundamentals - UFM (Unified Fabric Manager) configuration and management |
| Topic 3: Security and Management | - Security features in AI networking infrastructure - Access control and management plane security - Network segmentation and isolation strategies |
| Topic 4: Network Optimization for AI Workloads | - Adaptive routing and load balancing - GPU Direct RDMA and storage network optimization - Quality of Service (QoS) for AI traffic - Congestion control mechanisms - Collective communication optimization |
| Topic 5: NVIDIA AI Networking Hardware and Platforms | - DGX cluster networking architecture - NVIDIA ConnectX NICs and BlueField DPUs - SuperPOD reference architectures - NVIDIA Spectrum switches - NVIDIA Quantum InfiniBand switches |
| Topic 6: AI Networking Fundamentals | - Network topology considerations for AI clusters - Traffic patterns and communication collectives (All-Reduce, All-Gather) - AI/ML network architectures - RDMA and InfiniBand technologies |
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