NCP-AII exam dumps

NCP-AII practice question 56 of 146

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

NCP-AII Question 56

Select 3

An organization is deploying an NVIDIA DGX system to accelerate their AI workloads. The IT team is tasked with ensuring optimal performance and reliability. Which of the following actions should the team prioritize during deployment to meet these goals?

  1. A

    Ensure the server room has adequate cooling to manage the heat generated by the DGX system.

  2. B

    Install the NVIDIA DGX system without verifying the power supply capacity of the data center.

  3. C

    Update the DGX system with the latest NVIDIA GPU drivers and firmware before deployment.

  4. D

    Configure the DGX system with an unsupported third-party GPU to improve performance.

  5. E

    Verify the network infrastructure supports high-bandwidth, low-latency communication for the DGX system.

Show answer and explanation

Correct answers: A, C, E

Explanation

Proper deployment of an NVIDIA DGX system requires attention to critical factors such as cooling, software updates, and network infrastructure to ensure optimal performance and reliability. Ignoring these considerations can lead to system failures, performance issues, or subpar results in AI workloads.

  • A. Correct.

    Ensuring adequate cooling is critical for GPU-based systems like the NVIDIA DGX, as they can generate significant heat under full load. This helps maintain performance and prevents hardware failures.

  • B. Incorrect.

    Skipping verification of the power supply could lead to system instability or failure, making this a poor practice during deployment.

  • C. Correct.

    Updating GPU drivers and firmware is essential to ensure that the system runs optimally and benefits from the latest performance improvements and bug fixes.

  • D. Incorrect.

    Using unsupported hardware, such as third-party GPUs, may result in performance degradation or system instability and is not recommended for NVIDIA DGX systems.

  • E. Correct.

    High-bandwidth, low-latency network infrastructure is crucial for AI workloads, especially when scaling DGX systems across multiple nodes or accessing shared storage.

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