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NVIDIA NCP-AII Exam Overview:

Certification Vendor:NVIDIA
Exam Name:NVIDIA-Certified Professional AI Infrastructure Exam
Exam Number:NCP-AII
Passing Score:Pass/Fail only, no numerical score
Exam Price:$400 USD
Related Certifications:NVIDIA-Certified Professional AI Networking (NCP-AIN)
NVIDIA-Certified Associate AI Infrastructure and Operations (NCA-AIIO)
NVIDIA-Certified Professional AI Operations (NCP-AIO)
Exam Format:Multiple-choice questions, Scenario-based items
Available Languages:English
Certificate Validity Period:2 years
Real Exam Qty:60-70
Exam Duration:120 minutes
Recommended Training:NVIDIA AI Infrastructure Training
Exam Registration:NVIDIA Certification Portal
Sample Questions:NVIDIA NCP-AII Sample Questions
Exam Way:Online remote proctored or onsite at authorized test centers
Pre Condition:No mandatory prerequisites; recommended 2–3 years of experience in data center infrastructure, Linux administration, and NVIDIA hardware/software environments
Official Syllabus URL:https://www.nvidia.com/en-us/learn/certification/ai-infrastructure-professional/

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NCP-AII Exam Preparation & Valid NCP-AII Exam Questions

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NVIDIA NCP-AII Exam Syllabus Topics:

TopicDetails
Topic 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.
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
  • 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
  • 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
  • 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 Sample Questions (Q32-Q37):

NEW QUESTION # 32
Refer to the output:

What insights can a system administrator gain regarding the DGX system's health?

Answer: B

Explanation:
The health output shows the GPU check is unhealthy and reports a missing GPU at PCI address
07:00.0. This indicates the DGX system is not detecting one of the expected GPUs.


NEW QUESTION # 33
A company has a registered NGC account and their server has NCG CLI installed. What step should be taken first to gain access to NGC?

Answer: D

Explanation:
ngc config set is the first configuration step after installing the NGC CLI. It prompts for the required NGC credentials, including the API key, and stores them so the system can authenticate and access NGC resources.


NEW QUESTION # 34
In an InfiniBand fabric, what is the primary role of the Subnet Manager (SM) with respect to routing?

Answer: A

Explanation:
The Subnet Manager (SM) is responsible for discovering the InfiniBand topology, calculating routes, and programming the forwarding tables (LID tables) within the switches. This is crucial for establishing connectivity and ensuring efficient data transfer within the fabric. InfiniBand uses LID (Local Identifier) based routing, not IP addresses directly.


NEW QUESTION # 35
Refer to the image:

Which MAC address should be used by the system administrator as the DPU's out-of-band management interface MAC address?

Answer: C

Explanation:
The label shows the base host MAC as 0002C9270500. The BlueField DPU out-of-band management interface uses the derived management MAC by incrementing the base host MAC, resulting in 0002C9270502.


NEW QUESTION # 36
Consider the following Python code snippet which attempts to extract Digital Optical Monitoring (DOM) data from a transceiver using a hypothetical library 'transceiver_utils'. The transceiver is connected to port 'eth0'. However, the code consistently throws a 'TransceiverError: Invalid port' exception. What is the MOST likely cause of this error?

Answer: C

Explanation:
The 'Invalid port' error strongly suggests that the specified port identifier ('eth0') is either incorrect or not properly linked to the transceiver by the operating system or networking stack. While other issues like outdated libraries, lack of DOM support, or cable damage could cause problems, the specific error message points directly to a port configuration issue.


NEW QUESTION # 37
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