NCP-AIO Installation and Deployment Practice Question
An AI operations team is deploying NVIDIA AI Enterprise on a Kubernetes cluster using the NVIDIA GPU Operator. They need to ensure that GPU metrics such as utilization, memory usage, and temperature are collected and exposed to Prometheus for monitoring. Which component of the GPU Operator is responsible for this?
⚠ Common exam trap
Test-takers frequently confuse the device plugin, which handles scheduling, with the DCGM Exporter, which handles monitoring metrics.
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
✓
NVIDIA DCGM Exporter
The NVIDIA DCGM Exporter is the component of the GPU Operator that gathers GPU metrics via DCGM and exposes them in Prometheus format. It is specifically designed for monitoring GPU health and performance in Kubernetes. Other components like the Container Toolkit, Device Plugin, and Validator serve different purposes and do not provide metrics collection for Prometheus.
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 GPU Operator Validator
Why it's wrong here
The GPU Operator Validator is used to validate the GPU Operator deployment and ensure that components are functioning correctly. It performs checks and reports status but does not continuously collect GPU metrics for monitoring. It is not designed to expose metrics to Prometheus. Therefore, it is not the correct component for this requirement.
- ✗
NVIDIA GPU Device Plugin
Why it's wrong here
The NVIDIA GPU Device Plugin advertises GPU resources to the Kubernetes scheduler and handles device allocation for pods. It does not collect performance metrics or expose them to Prometheus. Its role is resource management and scheduling, not monitoring. Thus, it is not the component that provides GPU metrics.
- ✗
NVIDIA Container Toolkit
Why it's wrong here
The NVIDIA Container Toolkit enables container runtimes to use GPUs by providing the necessary hooks and libraries. It does not collect or expose GPU metrics. Its primary function is to make GPUs available to containers, not to monitor them. Therefore, it is not responsible for metrics collection for Prometheus.
- ✓
NVIDIA DCGM Exporter
Why this is correct
The NVIDIA DCGM Exporter is a component deployed by the GPU Operator that collects GPU telemetry using NVIDIA Data Center GPU Manager (DCGM) and exposes it as Prometheus metrics. It provides metrics on utilization, memory, temperature, power, and more. This is the correct component for integrating GPU monitoring with Prometheus in a Kubernetes environment managed by the GPU Operator.
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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.