NCP-AII exam dumps

NCP-AII practice question 10 of 146

NVIDIA-Certified Professional AI Infrastructure. Professional level, NVIDIA. Free question with the correct answer and a full explanation.

NCP-AII Question 10

Select 3

You are managing an AI infrastructure with multiple NVIDIA GPUs in a server, and you notice that the training process is significantly slower than usual. Upon further investigation, you find that one of the GPUs is not being utilized. Which steps should you take to identify and troubleshoot the issue?

  1. A

    Check the GPU's status using the NVIDIA System Management Interface (nvidia-smi).

  2. B

    Inspect the server logs for hardware errors related to the GPU.

  3. C

    Restart the affected GPU using software tools or by power cycling the server.

  4. D

    Verify that the GPU drivers are up to date and compatible with the current workload.

  5. E

    Replace the affected GPU immediately without performing further diagnostics.

Show answer and explanation

Correct answers: A, B, D

Explanation

To effectively troubleshoot GPU-related hardware faults, it is critical to gather diagnostic data using tools like nvidia-smi and server logs to pinpoint the issue. Ensuring that software components, such as drivers, are up to date is also essential, as these can directly impact GPU performance. Restarting or replacing hardware should only be considered after diagnosing the root cause of the fault.

  • A. Correct.

    Checking the GPU's status using nvidia-smi is a crucial first step in identifying if the GPU is being recognized and utilized properly.

  • B. Correct.

    Inspecting server logs can reveal hardware errors or warnings related to the GPU, such as overheating, memory issues, or PCIe connection problems.

  • C. Incorrect.

    Restarting the GPU without identifying the root cause may resolve temporary issues but is not a recommended first step for troubleshooting hardware faults.

  • D. Correct.

    Verifying that GPU drivers are up to date ensures compatibility and optimal performance with the workload. Outdated or incompatible drivers can lead to underutilization or errors.

  • E. Incorrect.

    Replacing the GPU without diagnostics is not recommended as it can be costly and may not address the root cause of the issue if it lies elsewhere (e.g., drivers or system configuration).

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