NVIDIA NCP-AII Exam Syllabus Topics:

Topic	Details
Topic 1	Control Plane Installation and Configuration: Covers deploying the software stack including Base Command Manager, OS, Slurm Enroot Pyxis, NVIDIA GPU and DOCA drivers, container toolkit, and NGC CLI.
Topic 2	Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
Topic 3	System and Server Bring-up: Covers end-to-end physical setup of GPU-based AI infrastructure, including BMC OOB TPM configuration, firmware upgrades, hardware installation, and power and cooling validation to ensure servers are workload-ready.
Topic 4	Troubleshoot and Optimize: Covers identifying and replacing faulty hardware components such as GPUs, network cards, and power supplies, along with performance optimization for AMD Intel servers and storage.
Topic 5	Cluster Test and Verification: Covers full cluster validation through HPL and NCCL benchmarks, NVLink and fabric bandwidth tests, cable and firmware checks, and burn-in testing using HPL, NCCL, and NeMo.

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

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NVIDIA AI Infrastructure Sample Questions:

Question #1

You are performing storage validation for an H100-based cluster. Your goal is to ensure the storage system is optimized for AI workloads. What should you focus on?

A. Verify the total storage capacity and confirm it matches the system specifications without running performance benchmarks.
B. Validate high throughput and low latency by running application-specific benchmarks designed for AI workloads.
C. Check that the storage system is configured with RAID levels optimized for redundancy, even if it sacrifices performance.
D. Test storage performance by transferring randomized files between nodes while monitoring metrics like transfer speed and error rates.

Reveal Solution Discussion 0

Correct Answer: B 🗳️