NCP-AIO Administration Practice Question
An administrator needs to collect GPU telemetry from an NVIDIA AI Enterprise cluster and store it in a time-series database for long-term analysis. Which component should be deployed to export GPU metrics in Prometheus format?
⚠ Common exam trap
The trap here is assuming that the GPU Operator or Base Command Manager exports metrics, when metric export is specifically the role of DCGM Exporter.
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
DCGM Exporter is the component that collects GPU metrics via DCGM and exposes them as Prometheus metrics. It is typically deployed as a daemonset or pod and can be scraped by Prometheus for long-term storage and analysis. Other NVIDIA components manage deployment or container runtime integration but do not provide metric export functionality.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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NVIDIA Container Toolkit
Why it's wrong here
The NVIDIA Container Toolkit enables containers to access GPUs by configuring the container runtime. It does not collect or export GPU metrics. Its role is to ensure that GPU devices are available to containers, not to provide telemetry. Therefore, it cannot fulfill the requirement of exporting metrics in Prometheus format.
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NVIDIA Base Command Manager
Why it's wrong here
Base Command Manager is a cluster management tool for provisioning and monitoring AI workloads. It provides a web interface and can collect some metrics, but it does not natively export GPU metrics in Prometheus format. Its monitoring capabilities are separate from Prometheus-based telemetry pipelines, so it is not the correct component for this requirement.
- ✓
NVIDIA DCGM Exporter
Why this is correct
DCGM Exporter is designed to collect GPU metrics using DCGM and expose them in Prometheus format. It runs as a container and provides metrics such as GPU utilization, memory usage, temperature, and power. These metrics can be scraped by Prometheus and stored in a time-series database for analysis. This is the standard solution for exporting GPU telemetry in Kubernetes environments.
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NVIDIA GPU Operator
Why it's wrong here
The GPU Operator automates the deployment and management of NVIDIA software components, including the driver and device plugin. While it can deploy DCGM Exporter as part of its stack, it is not itself a metrics exporter. The Operator does not expose GPU metrics in Prometheus format; it manages the lifecycle of components that do.
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.