Quiz NVIDIA - NCP-AII–Newest Visual Cert Exam

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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
  • Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
Topic 4
  • 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 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 (Q192-Q197):

NEW QUESTION # 192
You are using NVIDIA Spectrum-X switches in your A1 infrastructure. You observe high latency between two GPU servers during a large distributed training job. After analyzing the switch telemetry, you suspect a suboptimal routing path is contributing to the problem. Which of the following methods offers the MOST granular control for influencing traffic flow within the Spectrum-X fabric to mitigate this?

Answer: B

Explanation:
Adaptive Routing (AR) and Dynamic Load Balancing (DLB) are features specifically designed to dynamically adjust paths based on real-time network conditions in Spectrum-X. This provides the most granular and automated way to respond to congestion and optimize traffic flow compared to static routing or global ECMP adjustments. QOS prioritizes, but doesn't change the chosen path.


NEW QUESTION # 193
A system administrator needs to validate a GPU-based server and ensure that no errors occur under load.
What command should be used?

Answer: A

Explanation:
While there are many ways to stress a system, the verified method to check for errors under load in an NVIDIA DGX environment is to monitor the system usingNVSM (NVIDIA System Management). Running nvsm show health is the standard command to verify that all hardware components-including GPUs, memory, and storage-are operating within their defined specifications. To truly ensure no errors occur
"under load," an administrator will typically run a workload (like HPL or NCCL tests) and concurrently run nvsm show health or nvsm monitor to check for real-time telemetry such as thermal throttling, PCIe errors, or power fluctuations. nvsm show health aggregates data from the BMC and the OS to provide a "Red/Green" status of the entire system. There is no standard command named nvsm stress-test (Option D) or stress-test -- usage (Option B) in the official NVIDIA DGX software stack.


NEW QUESTION # 194
An administrator needs to manually deploy the BlueField image on a target DPU. The administrator downloads the new image file and needs to flash it to the hardware. Which command should the administrator use?

Answer: D

Explanation:
The correct command is bfb-install --rshim, normally used with the BFB image path and the appropriate RShim device, such as sudo bfb-install --rshim rshim0 --bfb < image_path.bfb > . BlueField software images are commonly deployed as BFB files, and RShim provides the host-side path used to push the image to the BlueField device. NVIDIA documentation states that the bfb-install utility is included with the RShim package and is used to push the BFB image to the BlueField side while reporting installation progress. The mlnx_fw_updater.pl tool is for firmware updates, not full BlueField OS image deployment. apt install doca- runtime installs DOCA runtime packages but does not flash a BlueField image. Using dd directly to a made- up device path is unsafe and not the supported method for deploying a BlueField boot stream image. During bring-up, using the supported BFB installation workflow helps ensure the DPU boots a valid signed image and enters a known operational state.


NEW QUESTION # 195
An AI inference workload running on a server equipped with NVIDIA TensorRT is experiencing intermittent performance degradation. Profiling reveals potential issues with GPU utilization. Which command-line tool is best suited to provide real-time GPU performance metrics, including utilization, memory usage, and power consumption, during workload execution?

Answer: B

Explanation:
'nvidia-smi' (NVIDIA System Management Interface) is the primary tool for monitoring GPU performance in real-time, including utilization, memory usage, and power consumption. While 'nvprof is a profiler, it's more suited for in-depth analysis after the run. 'nvitop' and gpustat are third-party tools that provide similar functionalities as -nvidia-smr. 'tegrastats' is specific to NVIDIA Jetson devices.


NEW QUESTION # 196
An InfiniBand fabric is experiencing intermittent packet loss between two high-performance compute nodes. You suspect a faulty cable or connector. Besides physically inspecting the cables, what software-based tools or techniques can you employ to diagnose potential link errors contributing to this packet loss?

Answer: C

Explanation:
All of the mentioned options are valid techniques for diagnosing link errors. 'ibdiagnet' performs a thorough fabric analysis. Monitoring switch port counters reveals link-level errors. 'iperf/ibperf identifies packet loss, which can be correlated with switch error counters. A comprehensive approach combining these methods is most effective.


NEW QUESTION # 197
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