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NVIDIA NCP-AIN Exam Overview:
| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA-Certified Professional AI Networking |
| Exam Number: | NCP-AIN |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple-choice, Multiple-select |
| Real Exam Qty: | 60 |
| Passing Score: | Not publicly specified by NVIDIA |
| Exam Price: | USD 235 |
| Available Languages: | English |
| Related Certifications: | NVIDIA Certified Professional AI Networking |
| Exam Duration: | 90 minutes |
| 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 |
|---|---|
| Security and Management | - Access control and management plane security - Network segmentation and isolation strategies - Security features in AI networking infrastructure |
| Network Configuration and Provisioning | - InfiniBand fabric bring-up and configuration - Cumulus Linux and SONiC network OS fundamentals - RoCE network configuration - UFM (Unified Fabric Manager) configuration and management - VXLAN and overlay networking for AI |
| Network Monitoring and Troubleshooting | - UFM monitoring and alerting capabilities - Error handling and recovery - Link-level and fabric-level troubleshooting - Performance analysis and congestion management - Monitoring tools and telemetry for AI fabrics |
| AI Networking Fundamentals | - Network topology considerations for AI clusters - AI/ML network architectures - Traffic patterns and communication collectives (All-Reduce, All-Gather) - RDMA and InfiniBand technologies |
| NVIDIA AI Networking Hardware and Platforms | - NVIDIA Quantum InfiniBand switches - SuperPOD reference architectures - NVIDIA ConnectX NICs and BlueField DPUs - DGX cluster networking architecture - NVIDIA Spectrum switches |
| Network Optimization for AI Workloads | - Collective communication optimization - Congestion control mechanisms - Quality of Service (QoS) for AI traffic - Adaptive routing and load balancing - GPU Direct RDMA and storage network optimization |
NCP-AIN Practice Questions: Answers
The NVIDIA-Certified Professional AI Networking exam requires a score of Not publicly specified by NVIDIA to pass, and the official registration fee is USD 235. Knowing both numbers before you register keeps your preparation budget realistic.
The NVIDIA-Certified Professional AI Networking practice questions are organized around the official exam objectives. Key topics include:
- Network Optimization for AI Workloads ()
- Security and Management ()
- Network Monitoring and Troubleshooting ()
A systematic pass through these topics covers the syllabus end to end.
Candidates should have experience with networking fundamentals and AI/ML infrastructure. Recommended to have completed NVIDIA AI Networking training courses.
You can confirm the current eligibility requirements on the official NCP-AIN exam page before you register.
Our experts review the question bank every day, and whenever a new version is released, our system sends it to your email automatically — no request needed. If an update ever seems to go missing, check your junk or spam folder first, since automated messages occasionally land there; contact us if it truly never arrived.
The NVIDIA-Certified Professional AI Networking exam contains 60 questions, and you will have 90 minutes minutes to complete them. Practicing under these exact constraints makes the real exam feel like one more rehearsal.
Yes. If anything about the updated material or your preparation is unclear, you can contact our experts directly after purchase. They will work through your question and offer professional advice on how to approach the material, so the product comes with guidance, not just files.
This package includes 90 practice questions for the NVIDIA-Certified Professional AI Networking exam. Every answer is verified by an experienced team of experts, so you can trust what you study.
NVIDIA-Certified Professional AI Networking Sample Questions:
A high-performance InfiniBand fabric requires a routing engine that maximizes throughput and network utilization while reducing congestion. Which option below is the best routing engine for InfiniBand?
- A. Adaptive Routing
- B. Random Routing
- C. Round Robin Routing
- D. Shortest Path Routing
Correct Answer: A 🗳️
Explanation: Only visible for Pass4suresVCE members. You can sign-up / login (it's free).
Which NVIDIA technology is specifically designed to provide high-performance networking for AI workloads?
- A. CUDA-X AI
- B. TensorFlow
- C. Mellanox ConnectX
- D. CUDA
Correct Answer: C 🗳️
Explanation: Only visible for Pass4suresVCE members. You can sign-up / login (it's free).
Which tool would you use to gather telemetry data in a SpectrumX network?
- A. NetQ
- B. NVIEW
- C. BCM
- D. UFM
Correct Answer: A 🗳️
Explanation: Only visible for Pass4suresVCE members. You can sign-up / login (it's free).
You are planning to deploy a large-scale Spectrum-X network for AI workloads. Before physical implementation, you want to validate the network design and configuration using a digital twin approach. Which NVIDIA tool would be most appropriate for creating and simulating a digital twin of your Spectrum-X network?
- A. NVIDIA Base Command Manager
- B. NVIDIA Omniverse
- C. NVIDIA Air
- D. NVIDIA NetQ
Correct Answer: C 🗳️
Explanation: Only visible for Pass4suresVCE members. You can sign-up / login (it's free).
A financial services company is planning to implement an AI infrastructure to support real-time fraud detection and risk assessment. They need a solution that can handle both training and inference workloads while maintaining data privacy and security. Which NVIDIA reference architecture component would be most appropriate to address the data privacy and security concerns in this AI networking setup?
- A. NVIDIA CUDA-X AI libraries
- B. NVIDIA BlueField DPUs
- C. NVIDIA Spectrum switches
- D. NVIDIA Magnum IO
Correct Answer: B 🗳️
Explanation: Only visible for Pass4suresVCE members. You can sign-up / login (it's free).
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