Reliable NVIDIA NCP-AII Exam Topics - Latest NCP-AII Exam Simulator

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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
  • 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 3
  • 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 4
  • Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
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 (Q44-Q49):

NEW QUESTION # 44
Which of the following is the MOST important reason for using a dedicated storage network (e.g., InfiniBand or RoCE) for AI/ML workloads compared to using the existing Ethernet network?

Answer: C

Explanation:
The primary benefit of a dedicated storage network like InfiniBand or RoCE is the significant improvement in latency and bandwidth (option B) compared to Ethernet. These technologies are designed for high-performance computing and can handle the intense 1/0 demands of AI/ML workloads. While security (A) can be improved through isolation, and QOS (E) is possible, the performance advantage is the most crucial factor. Cost (D) is generally higher, and management (C) can be more complex.


NEW QUESTION # 45
A system administrator is virtualizing GPUs in VMware vSphere and needs to allocate a vGPU profile from the drop-down menu. There are several options available. What does "grid_a100-
20c" mean?

Answer: B

Explanation:
grid_a100-20c identifies an NVIDIA A100 vGPU profile with a 20 GB framebuffer allocation. The profile name indicates the GPU family, assigned vGPU memory size, and compute-focused profile type used for VM GPU virtualization.


NEW QUESTION # 46
A network architect deploys a Spectrum Ethernet fabric for a RoCE-based AI cluster. During stress testing, distributed training performance fluctuates significantly because packet loss occurs whenever multiple training jobs execute simultaneously. Which network feature should be prioritized to improve communication consistency?

Answer: D

Explanation:
RoCE performs best on a properly configured lossless Ethernet network using technologies such as Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and appropriate congestion management. Packet loss causes RDMA retransmissions and reduced performance.
GPU memory size and PCIe switches do not resolve network congestion issues.


NEW QUESTION # 47
You are installing a GPU server in a data center with limited cooling capacity. Which of the following server configuration choices would BEST help minimize the server's thermal output, without significantly compromising performance? Assume all options are compatible.

Answer: A

Explanation:
Liquid cooling is the most effective way to remove heat from high-power components like GPUs and CPUs, allowing them to operate at their maximum performance without overheating. Choosing lower TDP GPUs will reduce thermal output but will also significantly reduce performance. Throttle frequency is useful, but liquid cooling enables optimal performance within thermal constraints. Data center should reduce cooling cost but is counter intuitive to reduce server temparature.


NEW QUESTION # 48
After a firmware upgrade on a DGX H100, the administrator notices that one GPU is not detected by the system. Which troubleshooting step should be performed first to identify the root cause?

Answer: D

Explanation:
The first step is to review the firmware update logs and run nvsm show health. After a DGX H100 firmware upgrade, a missing GPU can result from incomplete firmware activation, failed component update, PCIe enumeration failure, GPU tray communication issues, BMC inventory mismatch, or an actual hardware fault.
NVSM is the correct DGX platform-level health tool because it checks hardware state across GPUs, NVSwitch components, PCIe devices, storage, power, cooling, and system sensors. Firmware logs are equally important because they show whether each update completed successfully and whether a reboot, cold power cycle, BMC reset, or AC power cycle is still required. Replacing the GPU immediately is premature and may cause unnecessary downtime. Ignoring the issue is unsafe because production AI workloads expect all GPUs to be visible and healthy. Re-running firmware across all components without diagnosis can hide the original failure or introduce more risk. Proper bring-up practice is to collect evidence, verify hardware health, confirm firmware activation state, and then decide whether reseating, power cycling, reapplying firmware, or service escalation is required.


NEW QUESTION # 49
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