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NVIDIA NCP-AII Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
Topic 4
  • 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 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 (Q75-Q80):

NEW QUESTION # 75
You need to uninstall all NVIDIA drivers and associated packages from a Linux system cleanly. Which command sequence is the most reliable for achieving this after stopping the display manager (e.g., 'sudo systemctl stop gdm3')?

Answer: A,B,D,E

Explanation:
The appropriate package manager command (like 'apt purge' , 'yum remove' , or 'dnf remove' with the 'nvidia- wildcard) is the most reliable for removing driver packages. If the driver was installed using the ' .'run' installer, running it with '-uninstall' is also effective. Directly deleting directories is not recommended as it may leave behind configuration files and dependencies. Always stop the display manager before uninstalling to avoid conflicts.


NEW QUESTION # 76
An InfiniBand fabric is experiencing intermittent packet loss between two high-performance compute nodes. You suspect a faulty cable or connector. Besides physically inspecting the cables, what software-based tools or techniques can you employ to diagnose potential link errors contributing to this packet loss?

Answer: A

Explanation:
All of the mentioned options are valid techniques for diagnosing link errors. 'ibdiagnet' performs a thorough fabric analysis. Monitoring switch port counters reveals link-level errors. 'iperf/ibperf identifies packet loss, which can be correlated with switch error counters. A comprehensive approach combining these methods is most effective.


NEW QUESTION # 77
You are configuring a BlueField-2 DPU for link aggregation (bonding) with two 25GbE ports. After configuring the bond interface, you notice that traffic is not being distributed across both links. What are the two most likely causes of this issue? (Select TWO)

Answer: A,E

Explanation:
Bonding requires compatible configurations on both the server (DPU) and the switch. If the switch doesn't support the bonding mode, traffic won't be distributed correctly. Also, the speed and duplex settings must match on all interfaces in the bond for it to function properly. Mismatched MTU can cause packet fragmentation and performance issues but is less likely to prevent traffic distribution entirely. While ALB mode and ARP monitoring can impact load balancing, they're not the primary suspects. Firewalls might block traffic, but it is less related to the DPU setup.


NEW QUESTION # 78
A system administrator needs to use DCGM-exporter to export GPU metrics to an external system to create interactive dashboards. What system can the DCGM-exporter use without additional configuration?

Answer: A

Explanation:
DCGM-exporter exposes NVIDIA GPU telemetry in a Prometheus-compatible metrics format by default. Prometheus can scrape these metrics directly, and the collected data can then be visualized in dashboard tools such as Grafana.


NEW QUESTION # 79
You are tasked with updating both NVIDIA GPU drivers and DOCA drivers on a set of servers used for AI workloads. The environment previously had an older driver stack and custom kernel modules. What is the most important step to successfully upgrade the drivers without causing conflicts?

Answer: A

Explanation:
Removing the existing GPU, DOCA, OFED, and related kernel-module stack before installing the new versions prevents version mismatches, stale kernel modules, and dependency conflicts. This is especially important when the servers previously used an older stack with custom modules.


NEW QUESTION # 80
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