Question 50
A gaming backend scales pods during tournaments but pod requests stay pending when the project exhausts regional CPU quota. Which limitation must be considered before claiming the issue is fully resolved?
Explanation
Correct Answer
Raising an autoscaler maximum does not increase provider allocation quotas. This caution prevents extrapolating beyond the specific evidence or product boundary. Cloud elasticity is bounded by service quotas and regional availability. The unresolved point should be tested using pending pod events, node autoscaler logs and regional quota usage rather than assuming a working interface proves full compliance or resilience.
Incorrect Answers
Provider quotas always increase automatically when an HPA requests more pods. This limitation is framed as a blanket exception, but the case requires a different, narrower caution. The relevant boundary is that raising an autoscaler maximum does not increase provider allocation quotas. Cloud elasticity is bounded by service quotas and regional availability. Inspect pending pod events, node autoscaler logs and regional quota usage.
Quota exhaustion can be removed solely by setting a smaller latency SLO. The proposed claim mistakes an incomplete signal or product feature for a universal guarantee. The relevant boundary is that raising an autoscaler maximum does not increase provider allocation quotas. Cloud elasticity is bounded by service quotas and regional availability. Inspect pending pod events, node autoscaler logs and regional quota usage.
A successful HPA configuration guarantees physical capacity is reservable. This claim exceeds the evidence and ignores an important risk or operational dependency. The relevant boundary is that raising an autoscaler maximum does not increase provider allocation quotas. Cloud elasticity is bounded by service quotas and regional availability. Inspect pending pod events, node autoscaler logs and regional quota usage.