NCP-AII試験無料問題集「NVIDIA AI Infrastructure 認定」
After updating to a Docker version post 19.03, a data scientist attempts to run a container designed for GPU-accelerated applications with the following command:

This generates the following error (output might differ slightly depending on the specific version):

What will fix the problem?

This generates the following error (output might differ slightly depending on the specific version):

What will fix the problem?
正解:D
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A shared AI cluster contains H100, L40S, and A30 GPU nodes. Many users submit inference workloads without specifying hardware requirements, causing high-end H100 resources to be consumed by relatively lightweight jobs. Which administrative policy would most effectively improve overall cluster utilization?
正解:C
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An engineer wants to verify that their NVIDIA GPU is accessible inside a Docker container for running deep learning workloads. They have installed the NVIDIA Container Toolkit on a machine with working NVIDIA drivers. Which command demonstrates the correct way to run a container that can access all available GPUs?
正解:C
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You are tasked with setting up High Availability (HA) for NVIDIA Base Command Manager (BCM) in a new GPU cluster. The cluster consists of a primary and secondary head node, as well as several compute nodes. The requirements are: automatic failover of BCM services, minimal disruption to workloads, and proper cluster health monitoring during and after installation. During your BCM HA installation and configuration process, which two of the following actions are mandatory for ensuring a robust and verified HA cluster configuration? (Choose two.)
正解:A,B
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解説: (GoShiken メンバーにのみ表示されます)
