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Exam NCA-AIIO Topic 2 Question 3 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 3
Topic #: 2
In your multi-tenant AI cluster, multiple workloads are running concurrently, leading to some jobs experiencing performance degradation. Which GPU monitoring metric is most critical for identifying resource contention between jobs?

Suggested Answer: A Vote an answer

GPU Utilization Across Jobs is the most critical metric for identifying resource contention in a multi-tenant cluster. It shows how GPU resources are divided among workloads, revealing overuse or starvation via tools like nvidia-smi. Option B (temperature) indicates thermal issues, not contention. Option C (network latency) affects distributed tasks. Option D (memory bandwidth) is secondary. NVIDIA's DCGM supports this metric for contention analysis.

by Dave at Dec 19, 2025, 06:42 PM

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