NCP-AIO Installation and Deployment Practice Question
A cloud operations engineer is deploying the NVIDIA GPU Operator on a managed Kubernetes service where the worker nodes already have the NVIDIA data center driver installed by the cloud provider. The team wants the Operator to manage only the device plugin, container toolkit, and monitoring components. Which Helm value should the engineer set during installation?
⚠ Common exam trap
The trap here is inventing or misremembering a Helm key for skipping the driver, when the actual chart value is driver.enabled and the goal is to keep all other GPU software components Operator-managed.
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=false
The GPU Operator chart exposes driver.enabled to control whether the driver container is deployed. On managed Kubernetes services the node image already contains a validated NVIDIA driver, so disabling the Operator's driver avoids conflicts and duplicate work while still letting the Operator manage the device plugin, container toolkit, DCGM exporter, and related components. The other values either do not exist or disable components the team needs.
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 driver.enabled=false
Why this is correct
Setting driver.enabled=false tells the GPU Operator not to deploy the driver container, so it uses the preinstalled host driver. The Operator still deploys the device plugin, container toolkit, DCGM exporter, and other components. This is the standard approach on managed services where the provider owns the driver lifecycle and node image updates.
- ✗
--set operator.driver.install=false
Why it's wrong here
There is no supported Helm value named operator.driver.install in the GPU Operator chart. Passing an unrecognized key either produces an error or is silently ignored, leaving the driver container enabled. The engineer would then see a conflict between the Operator-managed driver and the provider-installed driver on the nodes.
- ✗
--set mig.strategy=none
Why it's wrong here
The MIG strategy value controls how Multi-Instance GPU resources are exposed to Kubernetes; it has nothing to do with driver installation. Setting it to none would not stop the driver container from deploying, and it is unrelated to the goal of reusing the provider-installed driver.
- ✗
--set toolkit.enabled=false
Why it's wrong here
Disabling the toolkit would prevent the NVIDIA Container Toolkit from being configured on the nodes, which breaks GPU access for containers even though the driver is present. The team explicitly wants the toolkit managed by the Operator, so this value would remove a required component rather than skip the driver.
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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.