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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA AI Infrastructure (NCP-AII) Certification Exam |
| Exam Number: | NCP-AII |
| Real Exam Qty: | 70-75 |
| Exam Price: | $400 |
| Related Certifications: | NVIDIA-Certified Professional AI Networking (NCP-AIN) NVIDIA-Certified Professional AI Operations (NCP-AIO) NVIDIA-Certified Associate AI Infrastructure and Operations (NCA-AIIO) |
| Certificate Validity Period: | 2 years |
| Exam Format: | Scenario-based questions, Multiple-choice |
| Available Languages: | English |
| Exam Duration: | 120 minutes |
| Recommended Training: | AI Infrastructure Professional Workshop AI Infrastructure & Operations Fundamentals (NVIDIA Training) |
| Exam Registration: | Official NVIDIA Certification Portal NVIDIA AI Infrastructure Certification Page |
| Sample Questions: | NVIDIA NCP-AII Sample Questions |
| Exam Way: | Online proctored exam (remote) or authorized test center depending on region |
| Pre Condition: | Recommended 2–3 years of experience working in data center environments with NVIDIA hardware solutions (GPU servers, networking, storage). |
| Official Syllabus URL: | https://www.nvidia.com/en-eu/learn/certification/ai-infrastructure-professional/ |
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問題 #17
A systems engineer is updating firmware across a large DGX cluster using automation. What is the best practice for minimizing risk and ensuring cluster health during and after the process?
答案：C
解題說明：
Large-cluster firmware updates should be performed in controlled batches after draining nodes from the scheduler so active workloads are not disrupted. Running pre-update diagnostics establishes baseline health, and post-update verification confirms each batch is stable before expanding the update to more nodes.
問題 #18
A network architect deploys a Spectrum Ethernet fabric for a RoCE-based AI cluster. During stress testing, distributed training performance fluctuates significantly because packet loss occurs whenever multiple training jobs execute simultaneously. Which network feature should be prioritized to improve communication consistency?
答案：D
解題說明：
RoCE performs best on a properly configured lossless Ethernet network using technologies such as Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and appropriate congestion management. Packet loss causes RDMA retransmissions and reduced performance.
GPU memory size and PCIe switches do not resolve network congestion issues.
問題 #19
You are an infrastructure engineer tasked with validating a new AI training cluster before releasing it to users.
Your team wants to perform a NeMo burn-in to ensure both hardware and software are reliable and ready for production workloads. Which of the following actions are required as part of a proper NeMo burn-in process?
Pick the 2 correct responses below.
答案：C,D
解題說明：
A proper NeMo burn-in should use a representative training or pretraining workload and run it for a sustained period across the intended GPUs and nodes. The goal is not only to prove that NeMo can import or that a model can return an inference result. The goal is to exercise the full AI infrastructure path: GPUs, CPU memory, CUDA, NCCL, network fabric, storage, container runtime, scheduler integration, and framework stack. Configuring a representative NeMo recipe and executor ensures the job launches with realistic distributed-training behavior and uses the same type of resources expected in production. Running the job repeatedly or for an extended duration helps expose intermittent issues such as NCCL stalls, GPU Xid errors, storage slowdowns, thermal throttling, node instability, or performance regression. A quick accuracy check on a pre-trained model is not a burn-in because it does not adequately stress distributed training. Inference-only testing is also insufficient for validating a training cluster. NeMo burn-in is valuable because it validates both the software framework and the underlying NVIDIA AI infrastructure under realistic workload pressure.
問題 #20
Which of the following commands or tools can be used to verify the NVIDIA driver version and the CUDA version installed on a Linux system?
答案：A,B,D,E
解題說明：
'nvidia-smi' provides detailed information about the NVIDIA driver version and GPU status. 'nvcc -version' shows the CUDA compiler version. 'cat Iproc/driver/nvidia/version' (if the file exists) displays the driver version. 'modinfo nvidia' will display the version of the loaded kernel module. only shows the presence of NVIDIA hardware, not the driver or CUDA version.
問題 #21
An infrastructure engineer in an AI factory has successfully replaced a power supply unit on an NVIDIA DGX H100. After installation, both the IN and OUT LEDs on the new power supply illuminate solid green.
Which NVSM CLI command should the engineer use to quickly verify the overall system status and ensure it is operating as expected?
答案：C
解題說明：
The NVIDIA System Management (NVSM) tool is the definitive CLI utility for monitoring the health of DGX platforms. While replacing a PSU (Power Supply Unit) is a common maintenance task, verifying that the new component is correctly integrated into the system's health model is mandatory. While nvsm show power would provide specific data regarding wattage and voltage for the PSU, the most comprehensive way to ensure the replacement hasn ' t caused secondary issues or that the system hasn ' t remained in a " Degraded
" state is to run nvsm show health. This command performs a global check across all subsystems: GPUs, NVLink switches, storage, fans, and power. If the PSU replacement was successful and the system is back to full redundancy, nvsm show health will return a " Healthy " status. In an AI factory setting, where DGX H100 nodes pull significant power, ensuring that all 6 PSUs (in an N+N or N+1 configuration) are not only physically green but logically acknowledged by the Baseboard Management Controller (BMC) is critical for preventing unexpected shutdowns during high-load training iterations.
問題 #22
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