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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	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 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	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.

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NVIDIA AI Infrastructure Sample Questions (Q171-Q176):

NEW QUESTION # 171
During cluster validation, the Cable Validation Tool (CVT) reports "Underperforming (BER)" for an InfiniBand link. Which BER thresholds indicate a critical signal quality issue requiring cable replacement?

A. Rx power variance > 3dB between lanes
B. Raw BER > 1e-12 or Effective BER > 1.5E-254 for <6hr measurements
C. Effective BER > 0 during the first 125 minutes of link operation
D. Temperature > 85°C on transceiver module

Answer: B

Explanation:
NVIDIA's Cable Validation Tool (CVT) and the Unified Fabric Manager (UFM) use strict Bit Error Rate (BER) thresholds to ensure the stability of NDR (400G) and HDR (200G) InfiniBand fabrics. Because modern high-speed links rely on Forward Error Correction (FEC) to fix minor bit flips, a "Raw BER" (errors before FEC) is expected, but must remain within a specific envelope-typically better than $10

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