NCP-AIO Installation and Deployment Practice Question
Which mechanism does the NVIDIA GPU Operator use to ensure that the driver installed on a worker node matches the specific architecture of the installed GPU hardware?
⚠ Common exam trap
Candidates often guess that the GPU Operator performs the hardware detection itself. It actually relies on the Node Feature Discovery (NFD) to identify and label hardware for the operator.
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
✓
Node Feature Discovery (NFD).
The GPU Operator uses Node Feature Discovery (NFD) to identify the specific GPU hardware present on each node. By labeling nodes with these hardware characteristics, the operator can ensure that the correct driver and kernel modules are selected and deployed. This mapping is vital in heterogeneous clusters, where different nodes might require different driver builds, preventing installation errors and ensuring optimal performance across the entire fleet.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
NVIDIA System Management Interface (nvidia-smi).
Why it's wrong here
While 'nvidia-smi' can query hardware information, it is a tool for manual inspection, not an automated deployment mechanism. The operator relies on labels and controllers like NFD to handle hardware identification at scale, not on executing individual commands across nodes to decide which driver to deploy.
- ✓
Node Feature Discovery (NFD).
Why this is correct
NFD labels nodes based on hardware attributes like GPU model and architecture. The GPU Operator uses these labels to match the node to the appropriate driver image. This automated mechanism is essential for scaling deployments across diverse hardware configurations without requiring manual node configuration for every single machine.
- ✗
The container runtime's default configuration.
Why it's wrong here
The runtime configuration does not have the intelligence to inspect hardware features or decide which driver to install. It is a static configuration for container execution, not a dynamic discovery tool, making it unable to influence the driver installation selection process based on hardware architecture variations.
- ✗
Hardcoding the driver version in the deployment manifest.
Why it's wrong here
Hardcoding creates fragile, inflexible deployments that break when new hardware is added or older nodes are replaced. It is a poor practice because it bypasses the automated discovery systems that allow the operator to handle hardware heterogeneity, leading to significant maintenance overhead and increased risk of misconfiguration.
About these practice questions
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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.