Online Access Free NCP-AIO Practice Test

A DGX H100 system in a cluster is showing performance issues when running jobs.
Which command should be run to generate system logs related to the health report?

• A.nvsm show logs --save
• B.nvsm health --dump-log
• C.nvsm get logs
• D.nvsm dump health

A system administrator wants to run these two commands in Base Command Manager.
main
showprofile device status apc01
What command should the system administrator use from the management node system shell?

• A.system -c "main showprofile; device status apc01"
• B.cmsh -p "main showprofile; device status apc01"
• C.cmsh -c "main showprofile; device status apc01"
• D.cmsh-system -c "main showprofile; device status apc01"

What is the primary purpose of assigning a provisioning role to a node in NVIDIA Base Command Manager (BCM)?

• A.To configure the node as a container orchestration manager
• B.To allow the node to manage software images and provision other nodes
• C.To enable the node to monitor GPU utilization across the cluster
• D.To assign the node as a storage manager for certified storage

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.Use BCM's Cluster Extension feature to automatically provision AWS resources when local resources are exhausted.
• C.Set up a standby deployment in AWS and manually switch workloads to the cloud during peak times.
• D.Manually provision additional cloud nodes in AWS when the on-premises cluster reaches its limit.

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.Set a higher priority for Jobs requesting fewer GPUs, so they finish faster and free up resources sooner.
• B.Modify the job script to include additional resource requests for CPU cores alongside GPUs.
• C.Enable cgroup enforcement in cgroup.conf by setting ConstrainDevices=yes.
• D.Increase the memory allocation per job to limit access to other resources on the node.