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An administrator requires full access to the NGC Base Command Platform CLI.
Which command should be used to accomplish this action?
Comprehensive and Detailed Explanation From Exact Extract:
The command ngc config set is used to configure the NGC CLI, including setting up API keys, access tokens, and other credentials necessary for full access to the Base Command Platform (BCP) CLI functionalities. This command enables users to authenticate and manage their access effectively.
An organization has multiple containers and wants to view STDIN, STDOUT, and STDERR I/O streams of a specific container.
What command should be used?
Comprehensive and Detailed Explanation From Exact Extract:
The docker logs CONTAINER-NAME command retrieves the standard output (STDOUT) and standard error (STDERR) streams of a running or stopped container. It is the primary tool for inspecting container I/O logs for debugging and monitoring purposes. docker top shows running processes, docker stats shows resource usage, and docker inspect shows metadata/configuration.
A system administrator needs to scale a Kubernetes Job to 4 replicas.
What command should be used?
Comprehensive and Detailed Explanation From Exact Extract:
The correct command to scale a Kubernetes Job to a specific number of replicas is kubectl scale job --replicas=4. This explicitly sets the number of desired pod instances for the Job resource. The other commands are either invalid (stretch), apply to Deployments rather than Jobs (autoscale deployment), or use incorrect syntax (-r).
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?
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.
A system administrator notices that jobs are failing intermittently on Base Command Manager due to incorrect GPU configurations in Slurm. The administrator needs to ensure that jobs utilize GPUs correctly.
How should they troubleshoot this issue?
Comprehensive and Detailed Explanation From Exact Extract:
Misconfiguration related to MIG mode can cause Slurm to improperly allocate GPUs, leading to job failures. The administrator should verify whether MIG has been enabled on the GPUs and ensure that Slurm's configuration matches the hardware setup. If MIG is enabled, Slurm must be configured to recognize and schedule MIG partitions correctly to avoid resource conflicts.
