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NVIDIA NCP-AII Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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 3	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 4	Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
Topic 5	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.

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

NVIDIA AI Infrastructure Sample Questions:

Question #1

An engineer needs to validate 400G DAC cable signal integrity in a DGX cluster. Which CVT metric best identifies marginal cables needing replacement?

A. Transceiver model matching QSFP-DD specifications.
B. Temperature fluctuations > 5°C during validation.
C. Lane power variance < 3dB across all transceivers.
D. Effective BER > 1.5E-254 during a ≤6-hour monitoring window.

Reveal Solution Discussion 0

Correct Answer: D 🗳️