NCP-AIO Administration Practice Question
An administrator is responsible for a large NVIDIA DGX SuperPOD used for multi-node training. They need to ensure that GPU telemetry and health metrics are collected centrally and can trigger alerts when GPUs exceed temperature thresholds. Which component of NVIDIA Base Command Manager (BCM) should they configure to achieve this?
⚠ Common exam trap
Candidates often confuse a monitoring dashboard with the actual telemetry collection component; the dashboard displays data but does not collect or alert on its own.
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 Data Center GPU Manager (DCGM) integrated with BCM
NVIDIA DCGM is the standard tool for centralized GPU telemetry and health monitoring in data centers. When integrated with Base Command Manager, it collects metrics from all nodes and can be configured with alerting rules for temperature and other thresholds. This provides the required centralized visibility and automated alerts for the DGX SuperPOD.
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 Base Command Manager's built-in 'cluster monitoring' dashboard
Why it's wrong here
BCM provides a monitoring dashboard, but it relies on underlying telemetry collectors like DCGM to gather GPU metrics. The dashboard alone does not perform the collection or alerting logic; it visualizes data from other sources. Without configuring DCGM or a similar collector, the dashboard would not have the necessary GPU temperature data to trigger alerts, making this option incomplete.
- ✗
NVIDIA Management Library (NVML) on each node
Why it's wrong here
NVML is a low-level API that provides direct access to GPU metrics, but it is not a centralized collection or alerting system. While NVML is used by higher-level tools, it does not itself aggregate data across nodes or generate alerts. The administrator would need to build a custom solution on top of NVML, which is not the intended BCM component for this scenario.
- ✗
NVIDIA Container Toolkit on each compute node
Why it's wrong here
The NVIDIA Container Toolkit enables containers to access GPUs but does not provide telemetry collection or alerting capabilities. It is a runtime component for containerized workloads, not a monitoring solution. While essential for running GPU-accelerated containers, it does not address the requirement to centrally collect GPU health metrics or trigger alerts based on temperature thresholds.
- ✓
NVIDIA Data Center GPU Manager (DCGM) integrated with BCM
Why this is correct
DCGM is designed for centralized GPU telemetry, health monitoring, and policy enforcement in data center environments. BCM integrates with DCGM to collect metrics from all nodes and can forward them to monitoring systems like Prometheus for alerting. Configuring DCGM within BCM provides the required centralized collection and threshold-based alerts for temperature and other metrics.
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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.