NCP-AIO Installation and Deployment Practice Question
A research lab is deploying NVIDIA AI Enterprise on an air-gapped Kubernetes cluster. The cluster has no internet access, and all software must be installed from a local registry. The administrator plans to use the NVIDIA GPU Operator. Which two actions must be performed to ensure a successful deployment in this environment? (Choose two.)
⚠ Common exam trap
The trap here is thinking that an offline flag exists or that driver management must be disabled, when the key steps are mirroring images and configuring the private registry.
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 appropriate Helm chart values.
In an air-gapped environment, the GPU Operator cannot reach public registries to pull container images. Therefore, all necessary images must be mirrored to a private registry, and the GPU Operator must be configured to use that registry via Helm values. These two actions ensure that the Operator can deploy its components without internet access. Other options are either not required or invalid for this scenario.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Install the NVIDIA GPU Operator using the --offline flag.
Why it's wrong here
There is no --offline flag for the NVIDIA GPU Operator Helm chart or installation. The Operator does not have a built-in offline mode. Air-gapped deployments are handled by mirroring images and configuring the registry endpoints. Relying on a non-existent flag would cause installation failure. Therefore, this is not a valid action for the scenario.
- ✗
Disable the GPU Operator's driver management and install the driver manually on each node.
Why it's wrong here
While it is possible to disable driver management, it is not a required action for air-gapped deployment. The GPU Operator can manage the driver in an air-gapped environment if the driver container image is mirrored to the private registry. Disabling driver management would require manual driver installation, which is more complex and not necessary. Therefore, this is not a required action for the scenario.
- ✓
Configure the GPU Operator to use the private registry by setting the appropriate Helm chart values.
Why this is correct
The GPU Operator must be configured to pull images from the private registry instead of the default public registries. This is done by setting Helm values such as operator.repository, driver.repository, toolkit.repository, and others to point to the private registry. Without this configuration, the Operator would attempt to pull from nvcr.io and fail due to no internet access. Thus, this is a required action for air-gapped deployment.
- ✓
Mirror all required NVIDIA container images to a private registry accessible by the cluster.
Why this is correct
In an air-gapped environment, the GPU Operator cannot pull images from public registries like nvcr.io. All required images, including the driver container, container toolkit, device plugin, DCGM exporter, and GPU Operator itself, must be mirrored to a private registry. The Operator must be configured to use this registry via Helm values such as operator.repository and driver.repository. This ensures that the cluster can pull images without internet access.
- ✗
Ensure the cluster nodes have direct access to the NVIDIA licensing server for vGPU.
Why it's wrong here
This scenario does not mention vGPU; it is about GPU Operator on an air-gapped cluster. Even if vGPU were used, the licensing server would need to be accessible or a licensing proxy set up, but that is not a requirement for the GPU Operator itself. The question focuses on deploying the GPU Operator, which does not require licensing server access. Thus, this is not a required action.
About these practice questions
Courseiva writes every NCP-AIO question from scratch — 309 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
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.