Question 660
A mobile API rollout reaches 10 percent of users; global availability looks healthy but errors spike only in the new client cohort. Which limitation must be considered before claiming the issue is fully resolved?
Explanation
Correct Answer
A global metric can mask regressions among a small but material customer group. This caution prevents extrapolating beyond the specific evidence or product boundary. Progressive releases need comparative metrics that distinguish new versus old behavior. The unresolved point should be tested using release cohort labels, error traces and targeted SLO measurements rather than assuming a working interface proves full compliance or resilience.
Incorrect Answers
Traffic percentage is itself proof that the new version is low risk. This limitation is framed as a blanket exception, but the case requires a different, narrower caution. The relevant boundary is that a global metric can mask regressions among a small but material customer group. Progressive releases need comparative metrics that distinguish new versus old behavior. Inspect release cohort labels, error traces and targeted SLO measurements.
Monitoring only global rates is enough for every progressive deployment. The proposed claim mistakes an incomplete signal or product feature for a universal guarantee. The relevant boundary is that a global metric can mask regressions among a small but material customer group. Progressive releases need comparative metrics that distinguish new versus old behavior. Inspect release cohort labels, error traces and targeted SLO measurements.
A canary's small size guarantees that no important customer will be affected. This claim exceeds the evidence and ignores an important risk or operational dependency. The relevant boundary is that a global metric can mask regressions among a small but material customer group. Progressive releases need comparative metrics that distinguish new versus old behavior. Inspect release cohort labels, error traces and targeted SLO measurements.