Question 640
A Go-based catalog service has high CPU cost, but operators only measure instance utilization without identifying expensive functions. Which limitation must be considered before claiming the issue is fully resolved?
Explanation
Correct Answer
A one-off profile may be unrepresentative of peak traffic and data shape. This caution prevents extrapolating beyond the specific evidence or product boundary. Performance tuning needs code-level evidence paired with workload context. The unresolved point should be tested using Cloud Profiler samples, CPU call stacks and workload comparison data rather than assuming a working interface proves full compliance or resilience.
Incorrect Answers
One profile collected during a quiet minute is representative of every traffic peak. This limitation is framed as a blanket exception, but the case requires a different, narrower caution. The relevant boundary is that a one-off profile may be unrepresentative of peak traffic and data shape. Performance tuning needs code-level evidence paired with workload context. Inspect Cloud Profiler samples, CPU call stacks and workload comparison data.
One short profile can identify a permanent bottleneck for all traffic distributions. The proposed claim mistakes an incomplete signal or product feature for a universal guarantee. The relevant boundary is that a one-off profile may be unrepresentative of peak traffic and data shape. Performance tuning needs code-level evidence paired with workload context. Inspect Cloud Profiler samples, CPU call stacks and workload comparison data.
A profiler can determine business correctness without any application tests. This claim exceeds the evidence and ignores an important risk or operational dependency. The relevant boundary is that a one-off profile may be unrepresentative of peak traffic and data shape. Performance tuning needs code-level evidence paired with workload context. Inspect Cloud Profiler samples, CPU call stacks and workload comparison data.