NCP-AIO Administration Practice Question
An administrator is configuring a new cluster and wants to ensure that telemetry data from GPUs is collected in a centralized manner. Which tool is best suited for this requirement?
⚠ Common exam trap
Test-takers sometimes confuse standard Kubernetes metrics servers with specialized GPU telemetry collectors like the NVIDIA 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
NVIDIA DCGM Exporter is the industry-standard tool for collecting GPU telemetry data in Kubernetes environments. It aggregates metrics from the Data Center GPU Manager and exposes them in a format compatible with Prometheus, allowing for centralized monitoring, visualization, and alerting. This visibility is essential for understanding cluster performance, identifying anomalies, and optimizing resource utilization in large-scale AI infrastructure deployments, making it the preferred choice for enterprise monitoring solutions.
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-smi log file rotation
Why it's wrong here
Relying on log file rotation from nvidia-smi is an ad-hoc and inefficient way to collect telemetry. It requires custom scripts to parse the text output and does not provide a scalable or standardized way to push metrics to a centralized monitoring system like Prometheus or Grafana.
- ✓
NVIDIA DCGM Exporter
Why this is correct
The DCGM Exporter is purpose-built for this task. It collects detailed telemetry, such as power, temperature, and usage, directly from the GPUs via DCGM and makes it available to monitoring platforms. This provides a clean, automated, and scalable architecture for centralized tracking of GPU performance metrics across the cluster.
- ✗
Manual polling of /proc/driver/nvidia
Why it's wrong here
Manual polling is error-prone, inefficient, and difficult to manage across a cluster. It does not provide the breadth of data offered by DCGM and would require significant custom development to build a robust collection pipeline. It is not recommended for production AI environments where real-time monitoring is critical.
- ✗
NVIDIA Nsight Systems
Why it's wrong here
Nsight Systems is a profiling tool used for deep analysis of application performance, bottlenecks, and CUDA kernel execution. It is designed for developers to debug and optimize specific code paths rather than being a tool for the continuous, cluster-wide collection of hardware telemetry metrics required for infrastructure monitoring.
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.