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NVIDIA NCP-AII Dumps

Exam Code:
NCP-AII
Exam Name:
NVIDIA AI Infrastructure
Last Update: Mar 23, 2026
71 Questions with Explanation
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NCP-AII FAQs

This professional-level credential proves you can deploy, configure, and troubleshoot advanced NVIDIA AI infrastructure. It focuses on "day-0 to day-2" operations, including server bring-up, firmware management, and performance validation.

Yes, the NCP-AII is highly valued for AI Infrastructure Engineer and MLOps roles. Professionals holding this credential often see a competitive edge in salary negotiations, as it validates the niche skill of scaling enterprise-grade AI hardware.

There are no mandatory course requirements, but NVIDIA recommends two to three years of data center experience with NVIDIA hardware. Many candidates find the Associate-level (NCA-AIIO) certification a helpful stepping stone.

A significant portion of the exam covers containerized workloads. You should practice deploying AI models within Kubernetes environments and understand how NVIDIA GPU Operators manage resources across clusters to avoid common configuration errors.

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NVIDIA AI Infrastructure Questions and Answers

Questions 1

A team is validating a DGX BasePOD deployment. Using cmsh, they run a command to check GPU health across all nodes. What indicates that the system is ready for AI workloads?

Options:

A.

The command output is ignored if the system powers on without errors.

B.

At least half of the GPUs report Status_Health = OK.

C.

All GPUs report Status_Health = OK and Health = OK for each device.

D.

Only the head node's GPUs need to be healthy.

Questions 2

An administrator needs to verify HA functionality after configuring BCM (Bright Cluster Manager). Which command confirms the active head node and failover readiness?

Options:

A.

cmsh status to check HA status and active/standby roles.

B.

nvsm show health to validate GPU status on both head nodes.

C.

systemctl restart cmdaemon to force a failover test.

D.

ping to test basic connectivity.

Questions 3

Refer to the output:

~ $ sudo nvsm show healthinfo

—Timestamp: Sat Dec 16 16:26:32 2017 -0800

Version: 17.12-5

Checks—BIOS Revision [5.11].........................

DGX Serial Number [YSY72800016)..................

Verify installed DIMM memory sticks........................Healthy

...[output truncated)

Verify Ethernet controllers...........................Healthy

Verify installed GPU's..............................Unhealthy

Checking output of 'lspci' for expected GPU's

Missing GPU at PCI address '07:00.0'

Verify installed InfiniBand controllers....................Healthy

Verify PCIe switches..................................Healthy

...[output truncated)

What insights can a system administrator gain regarding the DGX system's health?

Options:

A.

A GPU tray upgrade failed.

B.

A GPU is missing on the DGX system.

C.

A GPU driver upgrade has failed.

D.

The system has passed the hardware health check successfully.