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NVIDIA AI Infrastructure Sample Questions:

1. After replacing a faulty NVIDIA GPU, the system boots, and 'nvidia-smi' detects the new card. However, when you run a CUDA program, it fails with the error "'no CUDA-capable device is detected'". You've confirmed the correct drivers are installed and the GPU is properly seated. What's the most probable cause of this issue?

A) The user running the CUDA program does not have the necessary permissions to access the GPU.
B) The GPIJ is not properly initialized by the system due to a missing or incorrect ACPI configuration.
C) The new GPU is incompatible with the existing system BIOS.
D) The 'LD LIBRARY PATH* environment variable is not set correctly.
E) The CUDA toolkit is not properly configured to use the new GPU.

2. After replacing a GPU in a multi-GPU server, you notice that the new GPU is consistently running at a lower clock speed than the other GPUs, even under load. *nvidia-smi' shows the 'Pwr' state as 'P8' for the new GPU, while the others are at 'PO'. What is the MOST probable cause?

A) The new GPU requires a firmware update that hasn't been applied.
B) The driver is not properly recognizing the new GPU's capabilities; reinstall the driver.
C) The new GPU is a lower-performance model than the other GPUs.
D) The new GPU is not receiving sufficient power; check the power connections and PSU capacity.
E) The new GPU is overheating and throttling performance.

3. You have configured two lg.10gb MIG instances on an NVIDIAA100 GPU. You are running a deep learning training job on one instance and want to ensure that it cannot consume resources from the other MIG instance. Which mechanism ensures isolation between the two MIG instances at the hardware level?

A) CUDA Multi-Process Service (MPS)
B) cgroups
C) vGPIJ scheduling
D) Kubernetes resource quotas
E) MIG hardware partitioning

4. A user reports that their CUDA application is running slower than expected after an NVIDIA driver update. You suspect a driver compatibility issue. How can you revert to a previous NVIDIA driver version on an Ubuntu system, assuming you have the older driver package 'nvidia-driver-470 470.82.00-0ubuntu1_amd64.deb'?

A) Install the older .run' installer version, if you previously installed it using .run', using the -uninstall option first.
B) Use the NVIDIA System Management Interface Cnvidia-smi') to downgrade the driver.
C) First, remove the current NVIDIA driver using 'sudo apt purge nvidia- s, then install the .deb' package using 'sudo dpkg -i nvidia-driver-470_470.82.00-Oubuntu1_amd64.deb' and resolve any dependency issues with 'sudo apt --fix-broken install'.
D) Simply install the .deb' package using 'sudo dpkg -i
E) Edit the '/etc/apt/sources.list' file to point to an older repository containing the desired driver version, then update and upgrade the system.

5. In a data center utilizing NVIDIA GPUs and NVLink, what is the primary advantage of using a direct-attached NVLink network topology compared to routing traffic over the network?

A) Increased network security
B) Simplified network configuration
C) Reduced cost of network infrastructure
D) Improved power efficiency
E) Higher bandwidth and lower latency between GPUs

Solutions: