Key details for this exam, checked against the published exam outline
Each question shows the correct answer and an explanation of why it is right
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?
Comprehensive and Detailed Explanation From Exact Extract:
In Run:ai, roles are assigned based on levels of permissions. The L1 Researcher role is designed for users who need access to GPU resources for running jobs and experiments but should not have administrative rights over cluster settings or other users. This role ensures researchers can use resources without affecting cluster configurations or user management. Other roles like Department Administrator, Application Administrator, or Research Manager have broader privileges, including managing users and settings, which are not appropriate for the new researcher's requirements.
If a Magnum IO-enabled application experiences delays during the ETL phase, what troubleshooting step should be taken?
Comprehensive and Detailed Explanation From Exact Extract:
Ensuring that GPUDirect Storage is properly configured allows the application to transfer data directly from storage into GPU memory, bypassing the CPU and reducing latency and overhead during the ETL (Extract, Transform, Load) phase. This direct path optimizes data movement, preventing delays and improving performance for Magnum IO-enabled applications.
You are deploying an AI workload on a Kubernetes cluster that requires access to GPUs for training deep learning models. However, the pods are not able to detect the GPUs on the nodes.
What would be the first step to troubleshoot this issue?
Comprehensive and Detailed Explanation From Exact Extract:
The first step in troubleshooting Kubernetes pods that cannot detect GPUs is to verify whether the NVIDIA GPU Operator is properly installed and running. The GPU Operator manages the installation and configuration of all NVIDIA GPU components in the cluster, including drivers, device plugins, and monitoring tools. Without it, pods will not have access to GPU resources. Ensuring correct installation and operational status of the GPU Operator is essential before checking application-level versions or resource allocations.
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?
Comprehensive and Detailed Explanation From Exact Extract:
The Base Command Manager command shell (cmsh) accepts the -c flag to execute multiple commands sequentially. Using cmsh -c ''main showprofile; device status apc01'' runs the main showprofile followed by device status apc01 commands in one invocation, allowing scripted or batch execution from the management node shell.
An administrator requires full access to the NGC Base Command Platform CLI.
Which command should be used to accomplish this action?
Comprehensive and Detailed Explanation From Exact Extract:
The command ngc config set is used to configure the NGC CLI, including setting up API keys, access tokens, and other credentials necessary for full access to the Base Command Platform (BCP) CLI functionalities. This command enables users to authenticate and manage their access effectively.
An organization has multiple containers and wants to view STDIN, STDOUT, and STDERR I/O streams of a specific container.
What command should be used?
Comprehensive and Detailed Explanation From Exact Extract:
The docker logs CONTAINER-NAME command retrieves the standard output (STDOUT) and standard error (STDERR) streams of a running or stopped container. It is the primary tool for inspecting container I/O logs for debugging and monitoring purposes. docker top shows running processes, docker stats shows resource usage, and docker inspect shows metadata/configuration.
What two (2) platforms should be used with Fabric Manager? (Choose two.)
Comprehensive and Detailed Explanation From Exact Extract:
NVIDIA Fabric Manager is designed to manage and optimize fabric resources like NVLink and NVSwitch in enterprise-class platforms such as HGX and DGX systems. These platforms have the necessary hardware fabric components. The L40S Certified and GeForce series are either not compatible or do not require Fabric Manager.
Exam domains verified against: Official NVIDIA NCP-AIO exam guide, last checked October 2026.
Administer Fleet Command, Slurm clusters, and Base Command Manager for provisioning. Understand data center architecture for AI workloads and configure MIG for AI and HPC workloads.
Administer Kubernetes clusters and use system management tools to identify and resolve infrastructure issues. Monitor and troubleshoot workload scheduling and resource allocation.
Install and configure Base Command Manager and initialize Kubernetes on NVIDIA hosts. Deploy containers from NGC and cloud VMI containers, and understand storage requirements for AI data centers.
Sample question from this domain above: Q3
Troubleshoot Docker, NVLink and NVSwitch fabric services, Base Command Manager, and Magnum IO components. Diagnose and resolve storage performance issues affecting AI workloads.
Common questions about the exam itself
