1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question
An administrator notices that a dedicated AI cluster is not scaling down after a period of low traffic. What could be the cause?
⚠ Common exam trap
Oracle often tests the misconception that autoscaling always scales down when traffic is low, without considering the minimum size constraint that overrides scaling policies.
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
✓
The cluster has a minimum size set to the current number of nodes
A dedicated AI cluster in OCI has a minimum size configuration that prevents the autoscaler from reducing the node count below that threshold. If the current number of nodes equals the configured minimum, the cluster will not scale down even during low traffic, as the autoscaler respects this lower bound. This ensures baseline capacity is always available for inference workloads.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The cluster has a minimum size set to the current number of nodes
Why this is correct
A minimum size setting prevents scaling down below that threshold.
- ✗
There are pending inference requests
Why it's wrong here
Pending requests would keep nodes active, but after they finish, scale-down should occur if not blocked by minimum.
- ✗
The cluster is in a compartment without permissions
Why it's wrong here
Permissions would cause errors, not prevent scale-down silently.
- ✗
The autoscaling policy uses a cooldown period that is too short
Why it's wrong here
A short cooldown would allow more frequent scaling, not prevent scaling down.
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