Last Updated: Sep 11, 2026
No. of Questions: 90 Questions & Answers with Testing Engine
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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA-Certified Professional AI Networking |
| Exam Number: | NCP-AIN |
| Related Certifications: | NVIDIA Certified Professional AI Networking |
| Exam Duration: | 90 minutes |
| Passing Score: | Not publicly specified by NVIDIA |
| Available Languages: | English |
| Exam Price: | USD 235 |
| Real Exam Qty: | 60 |
| Exam Format: | Multiple-select, Multiple-choice |
| Certificate Validity Period: | 2 years |
| Sample Questions: | DOWNLOAD DEMO |
| 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/ |
| Section | Objectives |
|---|---|
| Topic 1: AI Networking Fundamentals | - RDMA and InfiniBand technologies - Network topology considerations for AI clusters - Traffic patterns and communication collectives (All-Reduce, All-Gather) - AI/ML network architectures |
| Topic 2: Network Optimization for AI Workloads | - GPU Direct RDMA and storage network optimization - Quality of Service (QoS) for AI traffic - Collective communication optimization - Adaptive routing and load balancing - Congestion control mechanisms |
| Topic 3: Security and Management | - Security features in AI networking infrastructure - Access control and management plane security - Network segmentation and isolation strategies |
| Topic 4: 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 |
| Topic 5: Network Configuration and Provisioning | - Cumulus Linux and SONiC network OS fundamentals - RoCE network configuration - InfiniBand fabric bring-up and configuration - VXLAN and overlay networking for AI - UFM (Unified Fabric Manager) configuration and management |
| Topic 6: Network Monitoring and Troubleshooting | - Monitoring tools and telemetry for AI fabrics - Link-level and fabric-level troubleshooting - Performance analysis and congestion management - Error handling and recovery - UFM monitoring and alerting capabilities |
The NVIDIA-Certified Professional AI Networking exam is the official NVIDIA assessment behind the NVIDIA-Certified Professional credential, which sits at the Professional level. Passing it confirms that your skills meet the vendor's current requirements rather than a textbook outline. It also connects with related certifications such as NVIDIA Certified Professional AI Networking, so it can anchor a broader certification path.
According to the official exam information, the NVIDIA-Certified Professional AI Networking exam includes 60 questions and gives you 90 minutes to complete them. Treat that as a pacing exercise, not just a knowledge check: bank the questions you know first, flag the ones that stall you, and circle back instead of burning minutes on a single item. Before test day, run at least one full timed session in the Actual4Cert desktop or online test engine, so the clock never feels unfamiliar when it counts.
To pass the NVIDIA-Certified Professional AI Networking exam you need Not publicly specified by NVIDIA, and the official registration fee is USD 235. Keep one thing in mind: a failed attempt is not discounted, so retaking the exam means paying USD 235 again in full. A practical safeguard is to sit a complete Actual4Cert practice test a week or two before your exam date; if your timed scores are not sitting comfortably above the passing mark, consider pushing your booking back and drilling the weak domains first.
The official prerequisites for the NVIDIA-Certified Professional AI Networking exam are as follows: Candidates should have experience with networking fundamentals and AI/ML infrastructure. Recommended to have completed NVIDIA AI Networking training courses.. Requirements can change over time, so confirm the details on the official NVIDIA exam page at https://www.nvidia.com/en-us/training/certification/ncp-ain/ before you book your seat.
Yes. A free PDF demo of the NVIDIA-Certified Professional AI Networking practice questions is available on the Actual4Cert samples page, so you can check the question style and difficulty before spending anything. Every purchase also includes 365 days of free updates, and if your product expires after that period, you can extend the update service from your member zone at 50% off.
If you take the NCP-AIN exam within 60 days of your purchase and do not pass, Actual4Cert offers a 100% money-back guarantee: send a scanned copy of your exam enrollment slip together with the official Score Report PDF within two days of your exam date, and the refund is processed within seven days. The candidate name must match the payer name, and the guarantee does not apply to exams taken within three days of purchase, to material that was downloaded without the exam actually being taken, or to free materials and expired orders. Prefer to keep studying instead? You can exchange your purchase for two additional exam products of equal value, free of charge, while keeping the update service on your original product. Delivery itself is instant: the download link is emailed within one minute of payment, and if nothing arrives within two hours, our support team will sort it out. There is no limit on how many computers you install the material on.
The NVIDIA-Certified Professional AI Networking syllabus is organized into 6 domains. The leading areas include Network Monitoring and Troubleshooting, Security and Management, and NVIDIA AI Networking Hardware and Platforms. For the complete, topic-by-topic breakdown, scroll up to the Exam Topics section above.
You are using NVIDIA Air to simulate a Spectrum-X network for AI workloads. You want to ensure that your network configurations are optimal before deployment. Which NVIDIA tool can be integrated with Air to validate network configurations in the digital twin environment?
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You are tasked with troubleshooting a link flapping issue in an InfiniBand AI fabric. You would like to start troubleshooting from the physical layer. What is the right NVIDIA tool to be used for this task?
Explanation: Only visible for Actual4Cert members. You can sign-up / login (it's free).
How does NVIDIA's AI networking solution contribute to the success of deep learning models?
Explanation: Only visible for Actual4Cert members. You can sign-up / login (it's free).
Which tool would you use to gather telemetry data in a SpectrumX network?
Explanation: Only visible for Actual4Cert members. You can sign-up / login (it's free).
What does RDMA (Remote Direct Memory Access) technology in NVIDIA's network products help achieve?
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