Exam AI-300 Topic 1 Question 62 Discussion

Actual exam question for Microsoft's AI-300 exam
Question #: 62
Topic #: 1
You need to isolate training workloads while remaining cost-aware to address Fabrikam Inc.'s issues, constraints, and technical requirements.
What should you implement?

Suggested Answer: D Vote an answer

Imagine a hospital analytics firm with data scientists who kick off dozens of training jobs throughout the week. During peak hours, five jobs compete for the same GPU cluster and fail or queue for hours. On quiet nights, that cluster sits completely idle, burning money. Managed compute targets with autoscaling solve both problems: the cluster scales out automatically when multiple jobs arrive simultaneously and scales back to zero when idle. Option A (single shared cluster) is exactly the resource-contention problem Fabrikam already has. Option B (fixed-size cluster) wastes money during off-peak hours. Option C (dedicated per-experiment clusters) eliminates contention but is prohibitively expensive for a cost-conscious healthcare firm.
Autoscaling managed compute is the cloud-native answer to variable workload demand.
Microsoft Learn Reference Topic: Azure Machine Learning compute targets - Configure autoscale for compute clusters

by Oliver at Jul 04, 2026, 03:10 AM

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