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NVIDIA NCP-AII Exam Overview:

Certification Vendor:NVIDIA
Exam Name:NVIDIA-Certified Professional AI Infrastructure Exam
Exam Number:NCP-AII
Available Languages:English
Passing Score:Pass/Fail only, no numerical score
Related Certifications:NVIDIA-Certified Professional AI Operations (NCP-AIO)
NVIDIA-Certified Professional AI Networking (NCP-AIN)
NVIDIA-Certified Associate AI Infrastructure and Operations (NCA-AIIO)
Exam Duration:120 minutes
Certificate Validity Period:2 years
Exam Price:$400 USD
Exam Format:Multiple-choice questions, Scenario-based items
Real Exam Qty:60-70
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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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
  • 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 5
  • 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.

NVIDIA AI Infrastructure Sample Questions (Q112-Q117):

NEW QUESTION # 112
You are configuring a network for a distributed training job using multiple DGX servers connected via InfiniBand. After launching the training job, you observe that the inter-GPU communication is significantly slower than expected, even though 'ibstat' shows all links are up and active. What is the MOST likely cause of this performance bottleneck?

Answer: C

Explanation:
While the other options could contribute to performance issues, the subnet manager (SM) is the MOST likely culprit. A poorly configured or malfunctioning SM can lead to suboptimal path selection (e.g., routing traffic through congested links or longer paths), which significantly increases latency and reduces bandwidth. Congestion control mechanisms, if not properly configured, can also fail to mitigate congestion, leading to packet loss and retransmissions, further degrading performance. Checking the SM logs and configuration is the first step in diagnosing this issue. Incorrect NIJMA placement, small MTIJ, powersave governor, and memory registration limits could also impact performance but are less likely to be the primary bottleneck if the links are up.


NEW QUESTION # 113
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:
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 using NVSM (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 # 114
Consider the following 'ibroute' command used on an InfiniBand host: 'ibroute add dest Oxla dev ib0'. What is the MOST likely purpose of this command?

Answer: A

Explanation:
The 'ibroute add dest Ox1a dev ibC command creates a static route for traffic destined for the InfiniBand LID (Local Identifier) Ox1a, using the InfiniBand interface named 'ib0'. InfiniBand routing is primarily based on LIDS, not IP addresses directly (though IP over 1B is possible). The 'dest' parameter specifies the destination LID.


NEW QUESTION # 115
An enterprise builds a Kubernetes-based AI platform using NVIDIA GPU Operator. After adding several new GPU nodes, administrators notice that NVIDIA drivers, container runtime components, and monitoring agents are installed automatically without manual intervention.
Which capability of GPU Operator enables this behavior?

Answer: A

Explanation:
GPU Operator simplifies Kubernetes deployments by managing GPU drivers, the NVIDIA Container Toolkit, device plugins, DCGM exporters, and related software as Kubernetes resources. This automates installation, upgrades, and lifecycle management across the cluster. It does not configure BIOS settings or perform virtual machine migration.


NEW QUESTION # 116
Which of the following is a primary benefit of using a CLOS network topology (e.g., Spine-Leaf) in a data center?

Answer: E

Explanation:
CLOS networks like Spine-Leaf provide excellent scalability due to their non-blocking architecture, allowing for increased bandwidth utilization and easy expansion. CAPEX might be higher due to more switches. The network diameter can be larger compared to traditional topologies. While CLOS networks can be managed effectively, the management complexity can be higher. Security benefits are not a primary characteristic of the CLOS topology itself.


NEW QUESTION # 117
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