NCP-AII Übungsfragen: NVIDIA AI Infrastructure & NCP-AII Dateien Prüfungsunterlagen

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NVIDIA NCP-AII Exam Overview:

Certification Vendor:NVIDIA
Exam Name:NVIDIA Certified Professional – AI Infrastructure
Exam Number:NCP-AII
Certificate Validity Period:2 years
Exam Format:Multiple Select, Multiple Choice
Exam Price:$195 USD
Real Exam Qty:50
Exam Duration:90 minutes
Related Certifications:NCP-DES
NCP-AI
Passing Score:700 (scale of 0-1000)
Available Languages:English
Sample Questions:NVIDIA NCP-AII Sample Questions
Exam Way:Online proctored exam (Pearson VUE)
Pre Condition:Recommended: hands-on experience with NVIDIA AI infrastructure products; basic knowledge of Linux, networking, and data center operations
Official Syllabus URL:https://www.nvidia.com/en-us/certifications/ncp-ai-infra/

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NVIDIA NCP-AII Prüfungsplan:

ThemaEinzelheiten
Thema 1
  • 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.
Thema 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.
Thema 3
  • Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
Thema 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.
Thema 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.

NVIDIA AI Infrastructure NCP-AII Prüfungsfragen mit Lösungen (Q96-Q101):

96. Frage
After a recent OS upgrade, you need to reinstall NVIDIA GPU and DOCA drivers to support both AI training and accelerated networking. What best practice ensures successful installation and full hardware capability?

Antwort: A

Begründung:
The correct best practice is to install only the GPU and DOCA driver versions that are validated for the current operating system, kernel, hardware platform, and NVIDIA software release. In NVIDIA AI infrastructure, driver compatibility is critical because GPU drivers, CUDA libraries, DCGM, Fabric Manager, DOCA-OFED, network adapters, DPUs, and kernel modules must align. Installing the newest driver without checking compatibility can cause driver/library mismatches, failed nvidia-smi, broken RDMA, or unsupported DOCA behavior. NVIDIA DGX documentation notes that DGX OS updates include coordinated OS, kernel, GPU driver, CUDA toolkit, and DCGM updates, and NVIDIA AI Enterprise provides support matrices to confirm supported platform combinations. DOCA-OFED is also tied to the operating system and kernel environment, so version selection must be deliberate. Legacy drivers may lack required fixes or hardware support, and default distribution drivers are usually not sufficient for validated DGX or AI Enterprise deployments. After installation, administrators should reboot if required, validate GPU visibility, confirm networking driver status, and run health checks before returning the node to production.


97. Frage
An AI server with 8 GPUs is experiencing random system crashes under heavy load. The system logs indicate potential memory errors, but standard memory tests (memtest86+) pass without any failures. The GPUs are passively cooled. What are the THREE most likely root causes of these crashes?

Antwort: A,C,D

Begründung:
GPU memory errors (B) are a strong possibility, as CPU-based tests don't test GPU memory directly. Insufficient airflow (C) is likely due to the passive cooling, leading to thermal instability. A faulty PSU (D) can cause random crashes under load due to power fluctuations. Driver incompatibility (A) is less likely to cause random crashes after initial setup, and network congestion (E) usually results in training slowdowns rather than system crashes.


98. Frage
You are configuring a server with multiple GPUs for CUDA-aware MPI. Which environment variable is critical for ensuring proper GPU affinity, so that each MPI process uses the correct GPU?

Antwort: B

Begründung:
'CUDA VISIBLE DEVICES' is essential for GPU affinity. It allows you to specify which GPUs are visible to a particular process. Without it, all processes might try to use the same GPU, leading to performance bottlenecks. controls the order in which GPUs are enumerated. specifies the path to shared libraries. is hypothetical. forces synchronous CUDA calls.


99. Frage
An NVIDIA-based AI server is experiencing intermittent network connectivity issues. You suspect a problem with the SFP28 transceiver connecting the server to the network. You want to use command-line tools to retrieve the DOM (Digital Optical Monitoring) information from the transceiver to diagnose the problem. Assuming you have appropriate network administration privileges, which command sequence is the MOST likely to provide the necessary DOM data (assuming 'eth0' is the interface)?

Antwort: D

Begründung:
The 'ethtool -m ethos command (with appropriate sudo privileges) is specifically designed to retrieve module EEPROM information, including DOM data, from a network interface. The other commands are not designed for this purpose. 'ethtool eth01 grep transceiver' may provide some basic transceiver information but won't provide details like temperature or power levels. link show' focuses on link state, not module details. 'ifconfig' is deprecated and doesn't show detailed transceiver information. 'Ishw- provides hardware inventory but not real-time DOM.


100. Frage
Refer to the exhibit. What is the longest distance that DAC LinkX 25G-NRZ cables can cover?

Antwort: A

Begründung:
DAC LinkX 25G-NRZ copper cables support short-reach server and switch connections, with the longest supported cable length being 5 meters.


101. Frage
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