NCP-AIO Installation and Deployment Practice Question
An administrator is deploying the NVIDIA GPU Operator into an existing Kubernetes cluster where the NVIDIA driver is already installed and maintained by the node image. The team wants the Operator to manage only the container runtime, device plugin, and monitoring components. Which configuration should be applied to the GPU Operator's ClusterPolicy?
⚠ Common exam trap
Watch out — candidates often confuse driver management with runtime or device plugin management and disabling a component the scenario actually wants the Operator to control.
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
✓
Set driver.enabled to false so the Operator does not deploy the driver container.
To use the GPU Operator with drivers already managed by the node image, the ClusterPolicy must disable driver management so the Operator skips the driver container. The container toolkit, device plugin, and DCGM exporter remain enabled so the Operator still configures runtime integration, advertises GPU resources, and exposes telemetry as the team intends.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set devicePlugin.enabled to false so the Operator does not advertise GPU resources.
Why it's wrong here
Disabling the device plugin would prevent Kubernetes from scheduling GPU workloads, which is clearly undesirable. The device plugin does not conflict with a preinstalled driver; it consumes the driver's device nodes. The scenario requires the Operator to manage the device plugin, so this setting is the opposite of what is needed.
- ✓
Set driver.enabled to false so the Operator does not deploy the driver container.
Why this is correct
Setting driver.enabled to false tells the GPU Operator to skip driver management and rely on the preinstalled host driver. The Operator then proceeds to deploy the container toolkit, device plugin, DCGM exporter, and other managed components. This is the documented way to integrate the Operator with nodes whose drivers are maintained outside the Operator's lifecycle.
- ✗
Set dcgmExporter.enabled to false so the Operator does not conflict with the existing driver.
Why it's wrong here
DCGM Exporter is a monitoring component that does not conflict with a preinstalled driver. Disabling it removes GPU telemetry, which the team wants to keep. The correct approach is to disable driver management specifically, not to turn off monitoring, so this option does not satisfy the stated goal.
- ✗
Set toolkit.enabled to false so the Operator does not modify the container runtime configuration.
Why it's wrong here
Disabling the toolkit would prevent the Operator from configuring the NVIDIA container runtime, which the scenario explicitly wants the Operator to manage. The question asks how to keep the preinstalled driver while still letting the Operator handle runtime and device plugin components, so disabling the toolkit contradicts the requirement.
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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.