1Z0-997-26 Cloud Native Architecture Practice Question
Your OKE cluster has autoscaling enabled using the Kubernetes Cluster Autoscaler. However, during peak hours, new pods remain in 'Pending' state for 15 minutes before the cluster autoscaler provisions new worker nodes. How can you reduce this provisioning delay?
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
✓
Deploy Kubernetes over-provisioning pods (pause pods) with lower priority to keep spare node capacity ready instantly.
Optimizing node pool initialization settings, using pre-warmed node pools, or adjusting cluster autoscaler polling interval / over-provisioning (pause pods) can speed up scaling.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Deploy Kubernetes over-provisioning pods (pause pods) with lower priority to keep spare node capacity ready instantly.
Why this is correct
Correct. Over-provisioning uses low-priority pods that get evicted when real workloads arrive, instantly triggering node scale-up before actual workloads are pending.
- ✗
Convert all worker nodes from virtual machines to bare metal shapes.
Why it's wrong here
Incorrect. Bare metal provisioning takes significantly longer than virtual machine creation in cloud environments.
- ✗
Increase the OCI Load Balancer bandwidth shape to maximum.
Why it's wrong here
Incorrect. Load balancers do not affect Kubernetes pod scheduling or node autoscaling delay.
- ✗
Disable OCI IAM token caching on worker nodes.
Why it's wrong here
Incorrect. IAM token caching does not affect OKE node provisioning speed.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Oracle exam blueprint
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