NCP-AII

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The dumps for NCP-AII exam was last updated on Apr 04,2026 .

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Question#1

You have a server equipped with multiple NVIDIA GPUs connected via NVLink. You want to monitor the NVLink bandwidth utilization in real-time.
Which tool or method is the most appropriate and accurate for this?

A. Using ‘nvidia-smi’ with the ‘―display=nvlink’ option.

B. Parsing the output of *nvprof during a representative workload.

C. Utilizing DCGM (Data Center GPU Manager) with its NVLink monitoring capabilities.

D. Monitoring network interface traffic using ‘iftop’ or ‘tcpdump’ .

E. Using ‘gpustat’ .

Explanation:
DCGM is specifically designed for monitoring and managing GPUs in data centers, including detailed NVLink statistics in real time.
‘nvidia-smi ―display=nvlink’ provides a snapshot, not real-time data. ‘nvprof is a profiling tool and not ideal for continuous monitoring. ‘iftop’ and ‘tcpdump’ monitor network traffic, not NVLink. ‘gpustat’ does not offer the granular NVLink data of DCGM.

Question#2

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. Reduce the ambient temperature of the data center.

B. Lower the GPU power limit using ‘nvidia-smi ―power-limit*.

C. Update the NVIDIA drivers to the latest version.

D. Re-seat the GPU in its PCle slot to ensure proper contact and heat dissipation.

E. Increase the fan speed of the GPU cooler using ‘nvidia-smi --fan’.

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.

Question#3

After ClusterKit reports "GPU-Host latency exceeds threshold," which NVIDIA diagnostic tool should be used to isolate hardware faults?

A. Re-run ClusterKit with --stress=gpu -Y 60 to extend test duration

B. nvidia-smi topo -m to inspect GPU topology connections

C. DCGM Diags dcgmi diag -r 2

D. ib_write_bw to measure InfiniBand bandwidth between nodes

Explanation:
"GPU-Host latency" issues in NVIDIA DGX or HGX systems are frequently caused by incorrect PCIe affinity or sub-optimal NUMA (Non-Uniform Memory Access) mapping. If a GPU is forced to communicate with a CPU core or an HCA that is not on its local PCIe switch/root complex, latency increases significantly as data must cross the QPI/UPI inter-processor links. The command nvidia-smi topo -m provides a detailed matrix of the system's internal topology, showing how GPUs, CPUs, and
NICs are connected. It identifies whether the connection is via a single PCIe switch (PIX), multiple switches (PXB), or across the CPU (SYS). By inspecting this map, an administrator can identify if a software process is pinned to the wrong NUMA node or if a hardware path is unexpectedly degraded. While DCGM (Option C) is good for checking component health, it doesn't map the logical-to-physical affinity paths that cause specific latency "threshold" warnings.

Question#4

You are tasked with installing the NGC CLI on a host that does not have direct internet access. You have downloaded the NGC CLI package to a local repository.
Which of the following steps are required to successfully install and configure the NGC CLI in this offline environment?

A. Transfer the NGC CLI package to the host and install it using ‘pip install .whl’.

B. Configure the NGC CLI to point to your local package repository by setting the environment variable.

C. Manually download and install all dependencies of the NGC CLI package using ‘pip install --no-index --find-links=/path/to/dependencies .whl’.

D. Run ‘ngc config set’ to configure the API key, pointing to a local configuration file.

E. Only copying the whl file is sufficient, NGC CLI dependencies are always local

Explanation:
In an offline environment, you need to install the package locally (A), configure the CLI to know where to find the package (B), manually install dependencies (C), and configure the API key (D).
Option E is wrong because dependencies must be handled manually in the offline environment.

Question#5

You are installing eight NVIDIAAIOO GPUs in a server designed for maximum performance. The server supports NVLink.
Which of the following actions will BEST improve the inter-GPU communication bandwidth?

A. Installing the GPUs in PCIe Gen3 slots instead of PCIe Gen4 slots.

B. Ensuring the GPUs are placed in slots that support NVLink bridges and that the bridges are properly installed.

C. Using a standard PCIe riser card for all GPUs.

D. Disabling NVLink in the BIOS/UEFI settings.

E. Only installing four of the eight GPUs to reduce the total number of connections needed.

Explanation:
NVLink provides significantly higher bandwidth than PCle for inter-GPIJ communication. Installing the GPUs in slots that support NVLink and properly installing the NVLink bridges will enable this faster communication. PCle Gen4 is better than Gen3. Riser cards don’t improve communication bandwidth. Disabling NVLink negates its benefits. Removing GPUs reduces overall performance.

Exam Code: NCP-AII Q & A: 370 Q&As Updated: Apr 04,2026

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Exam Code: NCP-AII
Q & A: 370 Q&As
Updated: Apr 04,2026

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