NCA-GENL Data Analysis and Visualization Practice Question
A machine learning engineer is monitoring an LLM inference service deployed on NVIDIA GPUs. They want a real-time dashboard that shows GPU utilization, memory usage, and request latency, and they need to set alerts when thresholds are exceeded. Which NVIDIA tool is purpose-built for this monitoring and alerting?
⚠ Common exam trap
The trap here is assuming that any NVIDIA GPU-related tool, such as Triton or TensorRT, can monitor GPU health, when only DCGM is designed for that purpose.
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) with DCGM-Exporter and Prometheus/Grafana.
Real-time GPU monitoring with dashboards and alerts is the core purpose of NVIDIA DCGM combined with DCGM-Exporter and a metrics stack such as Prometheus and Grafana. The other tools address profiling, inference optimization, or model serving, none of which provide the required operational monitoring and alerting.
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 TensorRT.
Why it's wrong here
TensorRT is an inference optimization and runtime library, not a monitoring tool. It compiles and executes models efficiently on NVIDIA GPUs but does not expose dashboards or alerting. While it may improve latency, it cannot monitor GPU utilization or memory in real time, so it is irrelevant to the stated monitoring and alerting need.
- ✗
NVIDIA Triton Inference Server.
Why it's wrong here
Triton Inference Server serves models and can expose some metrics, but it is not a full monitoring and alerting solution. It focuses on model deployment and inference orchestration. It does not natively provide GPU utilization dashboards or threshold alerts, so it does not meet the requirement as directly as DCGM with Prometheus and Grafana.
- ✗
NVIDIA Nsight Systems.
Why it's wrong here
Nsight Systems is a profiling tool for analyzing application performance, including CPU and GPU timelines, but it is not designed for continuous real-time monitoring or alerting. It captures traces for offline analysis. It does not provide a live dashboard or threshold-based alerts, so it does not fit the operational monitoring requirement.
- ✓
NVIDIA Data Center GPU Manager (DCGM) with DCGM-Exporter and Prometheus/Grafana.
Why this is correct
DCGM is NVIDIA's tool for monitoring and managing data center GPUs, and DCGM-Exporter exposes metrics like GPU utilization, memory, and health to Prometheus. Grafana then visualizes them and supports alerting. This combination is purpose-built for real-time GPU monitoring and alerting in production, matching the scenario exactly.
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 NCA-GENL 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 NCA-GENL exam.