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NVIDIA NCP-AII Exam Overview:

Certification Vendor:NVIDIA
Exam Name:NVIDIA Certified Professional – AI Infrastructure
Exam Number:NCP-AII
Real Exam Qty:50
Certificate Validity Period:2 years
Related Certifications:NCP-DES
NCP-AI
Exam Duration:90 minutes
Exam Format:Multiple Select, Multiple Choice
Exam Price:$195 USD
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 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 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.

NVIDIA AI Infrastructure Sample Questions (Q38-Q43):

NEW QUESTION # 38
A system administrator needs to validate a GPU-based server and ensure that no errors occur under load. What command should be used?

Answer: B

Explanation:
nvsm stress-test is used to place the DGX/GPU-based server under load and validate that the system remains stable without reporting hardware or GPU errors during the test.


NEW QUESTION # 39
A system administrator installed a new DPU on a system and needs to connect to the RHSIM interface using SSH for the first time. What IP address should the system administrator connect to?

Answer: D

Explanation:
The default RShim network interface uses the 192.168.100.0/24 subnet, with the BlueField DPU reachable at 192.168.100.2. This is the address used for the first SSH connection through the RShim interface.


NEW QUESTION # 40
An administrator needs to perform a comprehensive pre-production stress test on a DGX H100 system. Which command validates GPU, CPU, memory, and storage components while following NVIDIA's recommended procedure?

Answer: B

Explanation:
sudo nvsm stress-test --force runs NVIDIA's recommended DGX system stress validation through NVSM. It exercises key hardware components, including GPUs, CPUs, memory, and storage, making it appropriate for comprehensive pre-production health and stability testing.


NEW QUESTION # 41
During acceptance testing of a newly deployed AI cluster, engineers observe that GPUs remain below 60% utilization even though CPU usage, storage throughput, and network latency all fall within expected ranges. Before recommending expensive hardware upgrades, what should the engineering team do first?

Answer: D

Explanation:
Performance optimization should begin with comprehensive measurement rather than immediate hardware replacement. Profiling GPU utilization, communication patterns, storage performance, application behavior, and software configuration helps identify the true bottleneck. Upgrading hardware without evidence often increases cost without resolving the underlying performance limitation.


NEW QUESTION # 42
You observe high latency and low bandwidth between two GPUs connected via an NVLink switch. You suspect a problem with the NVLink link itself. Which of the following methods would be the most effective in diagnosing the physical NVLink link health?

Answer: A,B,E

Explanation:
A CUDA-aware memory bandwidth test can specifically measure the NVLink link's performance. System logs can reveal hardware- level errors. Physical inspection can identify damaged cables. 'iperf3' and 'pings are network-level tools and don't directly test the NVLink link. Checking for error messages in System Logs also helps identify potential issues related to the NVLink switch and the link connections.


NEW QUESTION # 43
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