A new researcher needs access to GPU resources but should not have permission to modify cluster settings or manage other users. What role should you assign them in Run:ai?
Correct Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract: In Run:ai, roles are assigned based on levels of permissions. The L1 Researcher role is designed for users who need access to GPU resources for running jobs and experiments but should not have administrative rights over cluster settings or other users. This role ensures researchers can use resources without affecting cluster configurations or user management. Other roles like Department Administrator, Application Administrator, or Research Manager have broader privileges, including managing users and settings, which are not appropriate for the new researcher’s requirements.
Question 2
What is the primary purpose of assigning a provisioning role to a node in NVIDIA Base Command Manager (BCM)?
Correct Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract: In NVIDIA Base Command Manager (BCM), assigning the provisioning role to a node enables that node to manage software images and perform provisioning tasks for other nodes in the cluster. This role allows automated deployment and configuration of cluster nodes, ensuring consistency and simplifying large-scale management. It is not primarily responsible for container orchestration, GPU monitoring, or storage management.
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