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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
  • 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 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
  • 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 (Q29-Q34):

NEW QUESTION # 29
After initial setup and health checks, the DGX H100 system administrator wants to verify that containers can access GPUs before running production workloads. Which method is recommended for this validation?

Answer: A

Explanation:
Running a CUDA container with --gpus all and executing nvidia-smi is the standard validation that Docker, the NVIDIA container runtime, drivers, and GPU access are working correctly before production workloads are launched.


NEW QUESTION # 30
You are evaluating the integration of NVIDIA BlueField DPUs into your data center's storage architecture to optimize AI workloads. The storage solution chosen has incorporated BlueField DPUs to enhance performance and efficiency. Which of the following benefits directly results from this integration?

Answer: D

Explanation:
NVIDIA BlueField DPUs improve storage architecture efficiency by offloading infrastructure and data-processing tasks from the host CPU. This frees CPU resources for AI workloads while the DPU handles storage, networking, and security-related processing more efficiently.


NEW QUESTION # 31
A leaf switch shows "FW Version Mismatch" alerts for transceivers after cluster expansion. Which tool validates transceiver firmware against expected versions?

Answer: C

Explanation:
Firmware consistency is a pillar of stable InfiniBand fabric performance. When a cluster is expanded, new transceivers or cables may arrive with newer or older firmware than the existing base, leading to "FW Version Mismatch" alerts in management consoles like UFM (Unified Fabric Manager). The flint tool (or mstflint) is the correct utility for querying the specific firmware levels embedded within the transceivers. While iblinkinfo provides data on link speeds and port states, it does not provide the deep hardware-level firmware telemetry required for version validation. flint allows the administrator to query the device, compare the current burn version against the target image, and perform the necessary updates to bring the cluster into a uniform state. In NVIDIA AI infrastructure, maintaining uniform firmware across the fabric ensures that features like Adaptive Routing and Congestion Control operate predictably. Without version parity, inconsistent behavior in Forward Error Correction (FEC) or link-up negotiation can lead to intermittent performance drops that are difficult to diagnose at the application (NCCL) level.


NEW QUESTION # 32
What is the primary purpose of running a NCCL burn-in test on a new GPU cluster?

Answer: D

Explanation:
NCCL burn-in stresses GPU-to-GPU communication paths across NVLink, PCIe, and the network fabric. Its main purpose is to expose hardware, cabling, fabric, GPUDirect RDMA, or interconnect stability issues before the cluster is released for production workloads.


NEW QUESTION # 33
A system administrator notices a DGX A100 has lost a power supply, but the system is still operating at full performance. What is the minimum number of power supplies needed for the system to operate at full redundancy?

Answer: B

Explanation:
DGX A100 systems require a minimum of four functioning power supplies to maintain full redundancy and full-performance operation. This allows the system to continue operating reliably even if a power supply failure occurs.


NEW QUESTION # 34
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