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NCP-AIO Exam Dumps : NVIDIA AI Operations

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NVIDIA AI Operations Questions and Answers

Question 1

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.

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Question 2

Your organization is running multiple AI models on a single A100 GPU using MIG in a multi-tenant environment. One of the tenants reports a performance issue, but you notice that other tenants are unaffected.

What feature of MIG ensures that one tenant's workload does not impact others?

Options:

A.

Hardware-level isolation of memory, cache, and compute resources for each instance.

B.

Dynamic resource allocation based on workload demand.

C.

Shared memory access across all instances.

D.

Automatic scaling of instances based on workload size.

Question 3

If a Magnum IO-enabled application experiences delays during the ETL phase, what troubleshooting step should be taken?

Options:

A.

Disable NVLink to prevent conflicts between GPUs during data transfer.

B.

Reduce the size of datasets being processed by splitting them into smaller chunks.

C.

Increase the swap space on the host system to handle larger datasets.

D.

Ensure that GPUDirect Storage is configured to allow direct data transfer from storage to GPU memory.