NCP-AIO Installation and Deployment Practice Question
An administrator is deploying the NVIDIA GPU Operator on a Kubernetes cluster in an air-gapped environment. The cluster nodes have no internet access, and all container images must be pulled from a private registry. Which two actions are required to ensure a successful deployment? (Choose two.)
⚠ Common exam trap
The trap here is assuming that a special air-gap flag exists in the Operator, when in reality air-gapped support is achieved by mirroring images and configuring the registry settings.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure the GPU Operator to use the private registry by setting the image repository in the Helm chart values.
Air-gapped deployments require that all container images are available in a private registry, and the GPU Operator must be configured to pull from that registry. Mirroring the images ensures availability, and setting the image repository in the Helm values directs the Operator to the correct location. These two actions are essential for a successful deployment without internet access.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Ensure that the private registry supports manifest lists for multi-architecture images.
Why it's wrong here
While manifest lists can be important for multi-architecture clusters, they are not a strict requirement for air-gapped deployment. The primary requirements are mirroring images and configuring the Operator to use the private registry. The registry must simply be able to serve the images; support for manifest lists is not a mandatory action for this scenario.
- ✓
Configure the GPU Operator to use the private registry by setting the image repository in the Helm chart values.
Why this is correct
The GPU Operator Helm chart allows specifying a custom image registry and repository for all components. By setting the appropriate values, the Operator will pull images from the private registry instead of NVIDIA's public registry. This configuration is essential to direct the Operator to the mirrored images, enabling successful deployment in an air-gapped setup.
- ✓
Mirror all required NVIDIA GPU Operator images to the private registry.
Why this is correct
In an air-gapped environment, the GPU Operator cannot pull images from public registries. All images, including the operator, driver, device plugin, and other components, must be mirrored to a private registry accessible by the cluster. This ensures that the Operator can deploy its components without internet access, which is a fundamental requirement for air-gapped installations.
- ✗
Disable the driver container and install drivers manually on each node.
Why it's wrong here
Disabling the driver container is not required for air-gapped deployments; the driver container can be used if its image is mirrored. Manual driver installation would defeat the purpose of using the Operator and is not a necessary action. The Operator can manage drivers in air-gapped environments as long as the driver image is available in the private registry.
- ✗
Set the environment variable 'AIRGAP=true' in the operator's deployment.
Why it's wrong here
There is no 'AIRGAP=true' environment variable for the NVIDIA GPU Operator. Air-gapped support is achieved through configuration of image registries and mirroring, not by a simple environment variable. This option is a fabricated setting and would not have any effect on the deployment, making it incorrect.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official NVIDIA exam blueprint
This NCP-AIO practice question is part of Courseiva's free NVIDIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the NCP-AIO exam.