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NVIDIA NCP-AIN Exam : NVIDIA-Certified Professional AI Networking

NCP-AIN actual test
  • Exam Code: NCP-AIN
  • Exam Name: NVIDIA-Certified Professional AI Networking
  • Updated: Oct 12, 2026
  • Q & A: 90 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $59.99  

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NVIDIA NCP-AIN Exam Syllabus Topics:

TopicDetails
Topic 1
  • InfiniBand Configuration, Optimization, Security, and Troubleshooting: This section of the exam measures the skills of Data Center Network Administrators and covers the configuration and operational maintenance of NVIDIA InfiniBand switches. It includes setting up InfiniBand fabrics for multi-tenant environments, managing subnet configurations, testing connectivity, and using UFM to troubleshoot and analyze issues. It also focuses on validating rail-optimized topologies for optimal network performance.
Topic 2
  • Spectrum-X Configuration, Optimization, Security, and Troubleshooting: This section of the exam measures the skills of Network Performance Engineers and covers configuring, managing, and securing NVIDIA Spectrum-X switches. It includes setting performance baselines, resolving performance issues, and using diagnostic tools such as CloudAI benchmark, NCCL, and NetQ. It also emphasizes leveraging DPUs for network acceleration and using monitoring tools like Grafana and SNMP for telemetry analysis.
Topic 3
  • AI Network Architecture: This section of the exam measures the skills of AI Infrastructure Architects and covers the ability to distinguish between AI factory and AI data center architectures. It includes understanding how Ethernet and InfiniBand differ in performance and application, and identifying the right storage options based on speed, scalability, and cost to fit AI networking needs.

Reference: https://www.nvidia.com/en-us/learn/certification/ai-networking-professional/

NVIDIA-Certified Professional AI Networking Sample Questions:

Question #1

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. Round Robin Routing
  • B. Shortest Path Routing
  • C. Random Routing
  • D. Adaptive Routing
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #2

You are optimizing an AI workload that involves multiple GPUs across different nodes in a data center. The application requires both high-bandwidth GPU-to-GPU communication within nodes and efficient communication between nodes. Which combination of NVIDIA technologies would best support this multi-node, multi-GPU AI workload?

  • A. NVLink for both intra-node and inter-node GPU communication.
  • B. PCIe for intra-node GPU communication and RoCE for inter-node communication.
  • C. NVLink for intra-node GPU communication and InfiniBand for inter-node communication.
  • D. InfiniBand for both intra-node and inter-node GPU communication.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #3

What is the role of the NVIDIA CUDA-X AI platform in AI networking?

  • A. To improve graphical rendering speed
  • B. To encrypt AI data
  • C. To monitor network traffic
  • D. To provide AI-optimized libraries and tools for networking and compute tasks
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #4

Which of the following statements are true about AI workloads and adaptive routing? Pick the 2 correct responses below.

  • A. AI workloads have very high entropy that helps spread traffic evenly without congestion.
  • B. Flow-based load balancing mechanisms increase congestion risk.
  • C. AI workloads are made of a small number of volumetric flows called elephant flows.
  • D. ECMP-based load balancing works best for AI workloads.
Reveal Solution  Discussion  0

Correct Answer: B,C  🗳️

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Question #5

What does NVIDIA's GPU-accelerated networking primarily enable in AI/ML environments?

  • A. Efficient data movement and communication between GPUs for faster AI model training and inference
  • B. Faster model creation
  • C. Reduced computational power for AI models
  • D. Enhanced data security for AI applications
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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