GPU and DOCA driver installation: Practice Questions — Control Plane Installation and Configuration (NVIDIA-Certified Professional: AI Infrastructure)

Practice Questions: GPU and DOCA Driver Installation

These multiple-choice questions are designed to help you prepare for the GPU and DOCA driver installation section of the NVIDIA-Certified Professional: AI Infrastructure exam. Each question includes four options, the correct answer, and a brief explanation.

1. Which command is used to verify the installed NVIDIA GPU driver version on a Linux system?

   • A. nvidia-smi
   • B. docker --version
   • C. nvcc --version
   • D. nvidia-container-cli info

   Correct answer: A

   Explanation: The nvidia-smi command queries the NVIDIA System Management Interface and displays the GPU driver version and GPU status.

2. What is the recommended method to install the NVIDIA GPU driver on a system intended for AI infrastructure deployment?

   • A. Using the package manager to install the driver from the OS repository
   • B. Downloading and installing the driver directly from NVIDIA's official website
   • C. Installing drivers via the Docker container
   • D. Using the apt-get upgrade command

   Correct answer: B

   Explanation: For AI infrastructure, it is best practice to download and install the latest compatible driver directly from NVIDIA to ensure compatibility and performance.

3. Which of the following is a key requirement before installing DOCA drivers on a supported NVIDIA BlueField DPU?

   • A. Ensuring the GPU driver is installed on the host system
   • B. Installing the NVIDIA Container Toolkit
   • C. Verifying the DPU firmware version compatibility
   • D. Installing Slurm workload manager

   Correct answer: C

   Explanation: DOCA drivers require compatible DPU firmware versions to function correctly; verifying firmware compatibility is essential before installation.

4. Which package provides the core runtime components necessary for DOCA applications to communicate with the BlueField DPU?

   • A. nvidia-docker2
   • B. libdoca
   • C. nvidia-container-toolkit
   • D. doca-runtime

   Correct answer: D

   Explanation: The doca-runtime package contains the runtime components required for DOCA applications to interface with the BlueField DPU.

5. After installing the NVIDIA GPU driver, which step is necessary to enable GPU support in Docker containers?

   • A. Installing the NVIDIA Container Toolkit
   • B. Restarting the Docker daemon
   • C. Configuring the nvidia-container-runtime as the default runtime
   • D. All of the above

   Correct answer: D

   Explanation: To enable GPU support in Docker containers, you must install the NVIDIA Container Toolkit, configure the runtime, and restart the Docker daemon for changes to take effect.

6. Which command installs the NVIDIA GPU driver on Ubuntu using the official NVIDIA package repository?

   • A. sudo apt install nvidia-driver-525
   • B. sudo yum install nvidia-driver
   • C. sudo dpkg -i nvidia-driver.deb
   • D. sudo nvidia-installer

   Correct answer: A

   Explanation: On Ubuntu, the recommended way is to install the specific NVIDIA driver version using apt from the NVIDIA package repository.

7. What is the primary purpose of the nvidia-smi tool after driver installation?

   • A. To install the NVIDIA driver
   • B. To monitor GPU status and verify driver installation
   • C. To configure DOCA applications
   • D. To manage Docker containers

   Correct answer: B

   Explanation: nvidia-smi is used to monitor GPU status, usage, and verify that the driver is correctly installed and functioning.

8. Which of the following is NOT a valid step when installing DOCA drivers?

   • A. Downloading the DOCA SDK and runtime packages
   • B. Verifying kernel compatibility with DOCA drivers
   • C. Installing the NVIDIA Container Toolkit
   • D. Installing Slurm workload manager before DOCA driver installation

   Correct answer: D

   Explanation: Installing Slurm is unrelated to DOCA driver installation; Slurm is a workload manager and is installed separately as part of cluster setup.

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