NVIDIA Exam NCA-AIIO Topic 2 Question 5 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam

Question #: 5
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?

AGPU Utilization Across Jobs

BGPU Temperature

CNetwork Latency

DMemory Bandwidth Utilization

Show Suggested Answer

Suggested Answer: A

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 Pamella at Jun 12, 2025, 12:33 AM

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