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NVIDIA NCP-AII Exam Overview:

Certification Vendor:	NVIDIA
Exam Name:	NVIDIA Certified Professional – AI Infrastructure
Exam Number:	NCP-AII
Related Certifications:	NCP-AI NCP-DES
Exam Price:	$195 USD
Passing Score:	700 (scale of 0-1000)
Exam Format:	Multiple Select, Multiple Choice
Available Languages:	English
Exam Duration:	90 minutes
Certificate Validity Period:	2 years
Real Exam Qty:	50
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:

Topic	Details
Topic 1	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 2	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 3	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 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	Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.

NVIDIA AI Infrastructure Sample Questions (Q30-Q35):

NEW QUESTION # 30
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?

A. CUDA VISIBLE DEVICES
B. MPI GPU SUPPORT
C. CUDA DEVICE ORDER
D. LD LIBRARY PATH
E. CUDA LAUNCH BLOCKING-I

Answer: A

Explanation:
'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.

NEW QUESTION # 31
You are managing a cluster of GPU servers for deep learning. You observe that one server consistently exhibits high GPU temperature during training, causing thermal throttling and reduced performance. You've already ensured adequate airflow. Which of the following actions would be MOST effective in addressing this issue?

A. Update the NVIDIA drivers to the latest version.
B. Increase the fan speed of the GPU cooler using 'nvidia-smi --fan'.
C. Re-seat the GPU in its PCle slot to ensure proper contact and heat dissipation.
D. Reduce the ambient temperature of the data center.
E. Lower the GPU power limit using 'nvidia-smi -power-limit*.

Answer: B,C

Explanation:
Re-seating the GPU (D) ensures a proper connection between the GPU and the motherboard, which is crucial for effective heat dissipation. Increasing fan speed (E) can directly improve cooling. Lowering the power limit (B) reduces temperature but also reduces performance. Updating drivers (C) may help in some cases, but it is less likely to solve a thermal throttling problem. Lowering the ambient temperature (A) is generally beneficial but might not be specific enough to fix the overheating issue on a single server.

NEW QUESTION # 32
You are using GPU Direct RDMA to enable fast data transfer between GPUs across multiple servers. You are experiencing performance degradation and suspect RDMA is not working correctly. How can you verify that GPU Direct RDMA is properly enabled and functioning?

A. Use the 'ibstat command to verify that the InfiniBand interfaces are active and connected.
B. Ping the other servers to ensure network connectivity.
C. Check the output of 'nvidia-smi topo -m' to ensure that the GPUs are connected via NVLink and have RDMA enabled.
D. Examine the 'cimesg' output for any errors related to RDMA or InfiniBand drivers.
E. Run a bandwidth benchmark using a tool like or to measure the RDMA throughput.

Answer: A,D,E

Explanation:
'dmesg' will show errors during RDMA driver initialization. Sibstat' confirms the InfiniBand interface status. Benchmarking with or validates the actual RDMA throughput. 'nvidia-smi topo -m' shows the topology but not necessarily active RDMA. Pinging only verifies basic network connectivity, not RDMA functionality.

NEW QUESTION # 33
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?

A. Examining system logs for NVLink-related error messages.
B. Physically inspecting the NVLink cables for damage.
C. Running a CUDA-aware memory bandwidth test specifically designed for NVLink.
D. Using 'iperf3' to measure network throughput between the servers.
E. Using 'ping' to check network connectivity between the servers.

Answer: A,B,C

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 # 34
A system administrator needs to check the health of the DGX power supplies. What command should be used?

A. nvidia-smi -q|grep -i power\ draw
B. nvsm show psus
C. ipmitool sdr |grep PWR_SYSTEM
D. lspci |grep -i psu

Answer: B

Explanation:
nvsm show psus displays the DGX power supply status and health information. It is the appropriate NVSM command to check whether the power supplies are present, healthy, and operating normally.

NEW QUESTION # 35
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