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NVIDIA NCP-AII Exam Syllabus Topics:

Topic	Details
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	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	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 (Q108-Q113):

NEW QUESTION # 108
A company deploys a large language model training cluster containing multiple NVIDIA HGX servers. During benchmarking, GPUs within each server communicate efficiently, but gradient synchronization across servers introduces significantly higher latency than expected. The infrastructure engineer needs to identify the component primarily responsible for optimizing GPU- to-GPU communication between different servers while maintaining maximum bandwidth and minimum latency.

A. NVIDIA InfiniBand fabric
B. PCIe Gen5 switch
C. NVIDIA MIG
D. NVIDIA NVSwitch

Answer: A

Explanation:
NVSwitch accelerates communication among GPUs inside a single HGX server, but it does not extend across physical servers. Multi-node distributed training depends on the InfiniBand fabric and technologies such as GPUDirect RDMA to provide low-latency, high-bandwidth communication. PCIe switches remain local to the server, while MIG partitions GPUs rather than improving network communication.

NEW QUESTION # 109
ClusterKit's NCCL bandwidth test shows 350 GB/s on a 400G InfiniBand fabric. How should this result be interpreted?

A. Critical failure; expected is greater than 390 GB/s for HDR InfiniBand.
B. Inconclusive; rerun with --stress=cpu to validate.
C. Suboptimal performance; requires FEC tuning to reach 380+ GB/s.
D. Optimal performance, indicating healthy fabric and GPUDirect RDMA.

Answer: D

Explanation:
The result should be interpreted as optimal in the context of the provided ClusterKit NCCL bandwidth test.
ClusterKit is designed for high-performance cluster validation and includes GPU communication tests such as GPU-GPU latency, GPU-GPU bandwidth, GPU-host latency, and NCCL bandwidth and latency. A reported
350 GB/s value in this type of question normally represents aggregate NCCL communication bandwidth across GPUs, not the raw line rate of a single 400G network port. If ClusterKit reports this result as part of a healthy NCCL bandwidth run, it indicates that the GPU communication path, RDMA stack, and fabric are performing as expected. Option A is incorrect because it incorrectly references HDR and assumes a single- link expectation above 390 GB/s. Option B incorrectly jumps to FEC tuning without evidence of link errors, retransmissions, or degraded counters. Option D is also incorrect because CPU stress testing does not validate NCCL GPU-to-GPU fabric bandwidth. In production validation, this result should still be considered alongside consistency, error counters, NCCL logs, topology, and reference values for the exact DGX, GPU, HCA, and switch configuration.

NEW QUESTION # 110
A systems engineer is updating firmware across a large DGX cluster using automation. What is the best practice for minimizing risk and ensuring cluster health during and after the process?

A. Update nodes that have reported faults, leaving others on older firmware.
B. To save time, simultaneously update all nodes in the cluster without draining or diagnostics.
C. Drain nodes from the scheduler, run pre-update diagnostics, update firmware in batches, and verify health post-update before scaling to the next batch.
D. Drain nodes from the scheduler, update firmware in batches, skip diagnostics and verify health post-update before scaling to the next batch.

Answer: C

Explanation:
Large-cluster firmware updates should be performed in controlled batches after draining nodes from the scheduler so active workloads are not disrupted. Running pre-update diagnostics establishes baseline health, and post-update verification confirms each batch is stable before expanding the update to more nodes.

NEW QUESTION # 111
Refer to the exhibit. What is the maximum bandwidth supported by Direct Attach Copper (DAC) LinkX cables?

A. 50 Gbps
B. 200 Gbps
C. 100 Gbps
D. 400 Gbps

Answer: D

Explanation:
NVIDIA LinkX Direct Attach Copper cables support high-speed Ethernet and InfiniBand connectivity up to 400 Gbps, making them suitable for dense GPU cluster interconnects and short-reach data center links.

NEW QUESTION # 112
When updating the firmware on an NVLink switch transceiver, how can an engineer apply new firmware without interrupting the network?

A. nv action reboot system to force immediate activation.
B. flint -d -lid 27 -linkx -link_auto_update -activate
C. mlxfwreset -d lid 27 reset --yes to reset the transceiver.
D. Physically disconnect and reconnect the transceiver.

Answer: B

Explanation:
flint with the LinkX auto-update and activate options is used to update and activate NVLink switch transceiver firmware in a non-disruptive way when supported. This applies the firmware without requiring a physical reseat or disruptive device/system reset.

NEW QUESTION # 113
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