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NVIDIA-Certified Professional NCP-AIO Full Course Free

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Total 66 questions

NVIDIA AI Operations Questions and Answers

Question 13

A system administrator is experiencing issues with Docker containers failing to start due to volume mounting problems. They suspect the issue is related to incorrect file permissions on shared volumes between the host and containers.

How should the administrator troubleshoot this issue?

Options:

A.

Use the docker logs command to review the logs for error messages related to volume mounting and permissions.

B.

Reinstall Docker to reset all configurations and resolve potential volume mounting issues.

C.

Disable all shared folders between the host and container to prevent volume mounting errors.

D.

Reduce the size of the mounted volumes to avoid permission conflicts during container startup.

Question 14

An administrator is troubleshooting issues with NVIDIA GPUDirect storage and must ensure optimal data transfer performance.

What step should be taken first?

Options:

A.

Increase the GPU's core clock frequency.

B.

Upgrade the CPU to a higher clock speed.

C.

Check for compatible RDMA-capable network hardware and configurations.

D.

Install additional GPU memory (VRAM).

Question 15

You are deploying AI applications at the edge and want to ensure they continue running even if one of the servers at an edge location fails.

How can you configure NVIDIA Fleet Command to achieve this?

Options:

A.

Use Secure NFS support for data redundancy.

B.

Set up over-the-air updates to automatically restart failed applications.

C.

Enable high availability for edge clusters.

D.

Configure Fleet Command's multi-instance GPU (MIG) to handle failover.

Question 16

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?

Options:

A.

L1 Researcher

B.

Department Administrator

C.

Application Administrator

D.

Research Manager

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Total 66 questions