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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
  • 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
  • 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
  • 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.

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NVIDIA AI Infrastructure Sample Questions (Q162-Q167):

NEW QUESTION # 162
You must validate all physical cabling as part of the network bring-up phase in a new NVIDIA GPU cluster deployment. The design requires you to confirm that each cable matches the intended topology, all links are functional, and that future troubleshooting and scalability are supported. Which two steps are essential to an effective, recommended cabling validation process during cluster deployment? (Choose two.)

Answer: A,B

Explanation:
Effective cabling validation requires checking each physical connection against the planned topology so port mappings, link paths, and neighbor relationships match the design. Performing this validation incrementally during deployment helps detect cabling mistakes early, reduces rework, and supports easier troubleshooting as the cluster scales.


NEW QUESTION # 163
After successfully installing the NVIDIA Container Toolkit and configuring Docker, you're attempting to build a container image that leverages the GPU. You're using a Dockerfile but encounter the following error during the 'docker build' process: 'error during connect: this error may indicate that the docker daemon is not running'. However, the Docker daemon IS running. What is the most likely reason the build process is failing to connect, specifically in the context of GPU-enabled containers?

Answer: A

Explanation:
The error 'error during connect: this error may indicate that the docker daemon is not running' during a 'docker build', when the daemon actually is running, can indicate a failure to connect to the daemon for a specific reason related to GPU access. 'docker build' requires - gpus all' to be passed in order for CUDA to correctly build the image. Permissions(A) are unlikely to cause this specific connection error. User group issues(B) are usually related to running containers, not building them. A networking issue (D) is possible but less likely in the context of a local build. The same can be said for container exceeding the hosts' available memory.


NEW QUESTION # 164
A system administrator noticed a failure on a DGX H100 server. After a reboot, only the BMC is available. What could be the reason for this behavior?

Answer: C

Explanation:
If more than two DGX H100 power supplies fail, the system may not have enough power capacity to bring up the host, while the BMC can still remain available on standby management power.
This results in a condition where remote management is reachable but the server itself cannot fully boot.


NEW QUESTION # 165
You are running a large-scale distributed training job on a cluster of AMD EPYC servers, each equipped with multiple NVIDIAA100 GPUs. You are using Slurm for job scheduling. The training process often fails with NCCL errors related to network connectivity. What steps can you take to improve the reliability of the network communication for NCCL in this environment? Choose the MOST appropriate answers.

Answer: A,B,E

Explanation:
Ensuring network configuration is correct is the most important step. 'srun' with '-mpi=pmi2 handles NCCL environment variable setup by Slurm automatically for proper connectivity. Increasing timeouts allows for transient network issues to resolve without causing failures. Disabling the firewall is a security risk. Decreasing the batch size will reduce the amount of data but won't fix the core network connectivity issues.


NEW QUESTION # 166
An InfiniBand server stops working, and a system administrator runs the "ibstat" command that provides the following output:
CA 'mlx5_1'
CA type: MT4115
Number of ports: 2
Firmware version: 10.20.1010
Hardware version: 0
Node GUID: 0x0002c90300002f78
System image GUID: 0x0002c90300002f7b
Port 1:
State: Initializing
Physical state: Linkup
Rate: 100
Base lid: 0
LMC: 0
SM lid: 0
Capability mask: 0x0251086a
Port GUID: 0x0002c90300002f79
Link layer: InfiniBand
What is the cause of the issue?

Answer: B

Explanation:
The ibstat command is a fundamental diagnostic tool in the NVIDIA InfiniBand stack used to query the status of local Host Channel Adapters (HCAs). In the provided output, the most critical data points are the Physical state, the State, and the SM lid.
The Physical state: Linkup confirms that the electrical or optical connection between the server's HCA and the neighboring switch port is established and healthy at the physical layer. This immediately rules out a disconnected cable (Option D) or a completely dead hardware port (Options A and C). However, the State:
Initializing indicates that while the "wires" are connected, the logical InfiniBand protocol has not finished its handshake.
In an InfiniBand fabric, the Subnet Manager (SM) is the centralized "brain" responsible for discovering nodes, assigning Local Identifiers (LIDs), and configuring routing tables. The output shows Base lid: 0 and SM lid: 0, which signifies that the port has not been assigned a LID and cannot find an active Subnet Manager to talk to. Without a running SM to transition the port from "Initializing" to "Active," no RDMA traffic can pass through the fabric. This scenario typically occurs if the SM service has crashed on the management node, or if the SM is disabled on the managed switches. Therefore, the root cause is the absence of an operational Subnet Manager in the fabric to complete the logical link initialization.


NEW QUESTION # 167
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