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NVIDIA NCP-AII Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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
  • 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 5
  • 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.

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NVIDIA AI Infrastructure Sample Questions (Q50-Q55):

NEW QUESTION # 50
You are designing an Ai server infrastructure using NVIDIA HGX AIOO modules. The server's power supply units (PSUs) are configured in a redundant (N+1) setup. The individual PSUs are rated for 3000W each, and the server contains three PSUs. If the expected peak power consumption of the HGX A100 modules and other components is 5500W, what is the safety margin (in Watts) in the power budget?

Answer: C

Explanation:
With N+1 redundancy and three 3000W PSUs, the total available power is 2 3000W = 6000W (N+1 means the system can tolerate one PSU failure). The safety margin is 6000W - 5500W = 500W.


NEW QUESTION # 51
After installing NGC CLI on RHEL, a user runs ngc registry image list but sees no results. The API key and organization are correctly configured. What resolves this?

Answer: A

Explanation:
The best answer is to configure the correct team context using ngc config set --team team-name. If the API key and organization are already correct, an empty image list often indicates that the CLI is looking in the wrong namespace or default team context. NGC registry commands support organization, ACE, and team context; NVIDIA NGC CLI documentation shows registry image commands using --org and --team, with the team option specifying the team name and defaulting to the current configuration. Setting the correct team ensures that private registry images, resources, and containers scoped to that team are visible. Disabling SELinux is not appropriate because this is an NGC namespace or access-context issue, not a local Linux security policy issue. Reinstalling the CLI does not fix a correct installation with incomplete context. Registry read permissions are also required in real operations, but the question states the API key and organization are correctly configured and asks what resolves the no-results condition. In this scenario, specifying the team is the targeted fix.


NEW QUESTION # 52
Which of the following are key benefits of using NVIDIA NVLink Switch in a multi-GPU server setup for AI and deep learning workloads?

Answer: A,C,D

Explanation:
NVLink provides significantly higher bandwidth and lower latency compared to PCle, enabling faster communication between GPUs. NVLink switches allow for pooling of GPU memory across multiple servers, enabling training of larger models that wouldn't fit on a single server's GPU memory. While it enhances infrastructure capabilities, it doesn't inherently simplify GPU resource management or directly provide enhanced security compared to PCle regarding the data transfer. Management features might exist on top of the NVLink infrastructure.


NEW QUESTION # 53
Consider a scenario where you are using NCCL (NVIDIA Collective Communications Library) for multi-GPU training across multiple servers connected via NVLink switches. Which NCCL environment variable would you use to specify the network interface to be used for communication?

Answer: C

Explanation:
is the correct environment variable to specify the network interface used by NCCL. Is for Infiniband, and the other options are not directly related to specifying the network interface.


NEW QUESTION # 54
You are configuring a switch port connected to a host in an NCP-AII environment. The host is running RoCEv2. To optimize performance and prevent packet loss, which flow control mechanism should you enable on the switch port?

Answer: A

Explanation:
Priority Flow Control (PFC), also known as 802.1Qbb, is the appropriate flow control mechanism for RoCEv2. RoCEv2 is a lossless Ethernet protocol, and PFC allows you to enable flow control on specific traffic classes, preventing packet loss in congested situations. By enabling PFC specifically for the traffic class carrying RoCEv2 traffic, you ensure that high-priority A1 training data is delivered reliably without being affected by congestion on other parts of the network.


NEW QUESTION # 55
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