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NVIDIA NCP-AII Exam Syllabus Topics:

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

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NVIDIA AI Infrastructure Sample Questions (Q48-Q53):

NEW QUESTION # 48
An engineer needs to validate NVLink Switch functionality on a DGX H100 system with 8 GPUs.
Which NCCL command verifies intra-node NVLink bandwidth?

A. all_reduce_perf -b 8 -e 16G -f2 -g 8 with NCCL_TESTS_SPLIT= "OR 0x7"
B. broadcast_perf -b 8 -e 16G -f2 -g 8 without split configuration
C. all_reduce_perf -b 8 -e 16G -f2 -g 4 with NCCL_TESTS_SPLIT= "MOD 2"
D. all_reduce_perf -b 8 -e 16G -f2 -g 1 repeated 8 times

Answer: A

Explanation:
Running all_reduce_perf across all 8 GPUs validates intra-node collective bandwidth across the full DGX H100 NVLink Switch domain. The split setting stresses NVLink paths within the node, making it suitable for verifying NVLink Switch functionality and bandwidth across the 8-GPU topology.

NEW QUESTION # 49
You have a server with two NVIDIA GPUs connected via NVLink. You want to verify that NVLink is functioning correctly. Which command(s) or tool(s) can you use to check the NVLink status and bandwidth?

A. 'nvidia-smi topo -m'
B. 'nvidia-settings' (GUI tool)
C. Ispci'
D. nvcc -version'
E. 'nvidia-smi nvlink -statue

Answer: A,E

Explanation:
'nvidia-smi nvlink -statuS provides a direct overview of the NVLink status, including link speed and errors. 'nvidia-smi topo shows the topology of the GPUs and how they are connected, including NVLink connections. 'Ispci' lists PCl devices but doesn't provide NVLink- specific information. 'nvcc -version' checks the CUDA compiler version. 'nvidia-settings' is a GUI tool that can display some information, but it's less precise than 'nvidia-smr for NVLink status.

NEW QUESTION # 50
You are tasked with updating the NVIDIA drivers on a cluster of servers running a critical A1 training workload. To minimize downtime and ensure a smooth transition, what is the best approach for performing the driver update?

A. Simultaneously update the drivers on all servers in the cluster during a maintenance window.
B. Update the drivers only on the head node of the cluster, as the compute nodes will automatically inherit the new drivers.
C. Create a new cluster with the updated drivers and migrate the workload after thorough testing.
D. Utilize a containerized approach with driver containers and orchestrate a rolling redeployment.
E. Perform a rolling update, updating one server at a time while migrating workloads to the remaining servers.

Answer: C,D,E

Explanation:
A rolling update minimizes downtime by updating servers one at a time. Creating a new cluster and migrating allows for thorough testing before impacting the production environment. Containerizing the driver and using rolling redeployments offers increased control and minimizes dependency issues. Simultaneously updating all servers results in significant downtime, and the head node's drivers are not automatically propagated to the compute nodes.

NEW QUESTION # 51
Which command is used to verify the installation and configuration of the NGC CLI after initial setup?

A. 'ngc system statue'
B. 'ngc config validate'
C. 'ngc setup verify'
D. 'ngc registry model list'
E. 'ngc -version'

Answer: D,E

Explanation:
'ngc -version' confirms the CLI is installed and shows its version. 'ngc registry model list' verifies that the CLI can authenticate with NGC and access the registry.

NEW QUESTION # 52
An AI server equipped with multiple NVIDIA GPUs experiences frequent reboots during peak workload periods. The system event logs indicate 'Uncorrectable Machine Check Exception' errors. You suspect a power delivery issue. Besides checking the PSUs, what other hardware component(s) should be thoroughly inspected to identify potential causes?

A. The server's CMOS battery.
B. The storage drives (SSDs/HDDs).
C. The motherboard VRMs (Voltage Regulator Modules) responsible for supplying power to the GPUs.
D. The CPU and system memory.
E. The network interface cards (NICs).

Answer: C

Explanation:
While 'Uncorrectable Machine Check Exception' errors can have various causes, a power delivery issue to the GPUs is a strong possibility in this scenario. The motherboard VRMs are responsible for regulating and supplying power to the GPUs. If they are failing or inadequate, it can lead to power instability and these types of errors during high load.

NEW QUESTION # 53
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