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 NCP-AIO Dumps with Practice Exam Questions Answers

Questions: 66 Questions and Answers With Step-by-Step Explanation

Last Update: Aug 30, 2025

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NCP-AIO Question Includes: Single Choice Questions: 61, Multiple Choice Questions: 5,

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NCP-AIO Questions and Answers

Question # 1

You have noticed that users can access all GPUs on a node even when they request only one GPU in their job script using --gres=gpu:1. This is causing resource contention and inefficient GPU usage.

What configuration change would you make to restrict users’ access to only their allocated GPUs?

A.

Increase the memory allocation per job to limit access to other resources on the node.

B.

Enable cgroup enforcement in cgroup.conf by setting ConstrainDevices=yes.

C.

Set a higher priority for Jobs requesting fewer GPUs, so they finish faster and free up resources sooner.

D.

Modify the job script to include additional resource requests for CPU cores alongside GPUs.

Question # 2

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?

A.

Increase the number of GPUs requested in the job script to avoid using unconfigured GPUs.

B.

Check if MIG (Multi-Instance GPU) mode has been enabled incorrectly and reconfigure Slurm accordingly.

C.

Verify that non-MIG GPUs are automatically configured in Slurm when detected, and adjust configurations if needed.

D.

Ensure that GPU resource limits have been correctly defined in Slurm’s configuration file for each job type.

Question # 3

A cloud engineer is looking to provision a virtual machine for machine learning using the NVIDIA Virtual Machine Image (VMI) and Rapids.

What technology stack will be set up for the development team automatically when the VMI is deployed?

A.

Ubuntu Server, Docker-CE, NVIDIA Container Toolkit, CSP CLI, NGC CLI, NVIDIA Driver

B.

Cent OS, Docker-CE, NVIDIA Container Toolkit, CSP CLI, NGC CLI

C.

Ubuntu Server, Docker-CE, NVIDIA Container Toolkit, CSP CLI, NGC CLI, NVIDIA Driver, Rapids

D.

Ubuntu Server, Docker-CE, NVIDIA Container Toolkit, CSP CLI, NGC CLI

Question # 4

You are managing an on-premises cluster using NVIDIA Base Command Manager (BCM) and need to extend your computational resources into AWS when your local infrastructure reaches peak capacity.

What is the most effective way to configure cloudbursting in this scenario?

A.

Use BCM's built-in load balancer to distribute workloads evenly between on-premises and cloud resources without any pre-configuration.

B.

Manually provision additional cloud nodes in AWS when the on-premises cluster reaches its limit.

C.

Set up a standby deployment in AWS and manually switch workloads to the cloud during peak times.

D.

Use BCM's Cluster Extension feature to automatically provision AWS resources when local resources are exhausted.

Question # 5

A system administrator of a high-performance computing (HPC) cluster that uses an InfiniBand fabric for high-speed interconnects between nodes received reports from researchers that they are experiencing unusually slow data transfer rates between two specific compute nodes. The system administrator needs to ensure the path between these two nodes is optimal.

What command should be used?

A.

ibtracert

B.

ibstatus

C.

ibping

D.

ibnetdiscover

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