Exam AZ-400 topic 6 question 55 discussion

1.Bug report rate 2. Mean time to detection

1. Defect escape rate 2. Mean time to detection Defect Escape Rate measures the proportion of bugs that escape internal testing processes and are instead found by end-users after deployment. It highlights gaps in the testing and quality assurance phases, resulting in defects being discovered externally by customers. This metric is specifically used to evaluate the effectiveness of internal quality control. A high defect escape rate indicates that issues are not being identified and fixed before release, causing customers to encounter and report these bugs.

Given answer is correct by MS copilot: Scenario 1: Most bugs being detected and reported by customers Defect escape rate: This metric measures the percentage of defects that are not detected during the development and testing process and are instead reported by end-users after the application is released. A high defect escape rate indicates that many bugs are slipping through the testing phase and being found by customers. Scenario 2: It takes a long time to detect failures Mean time to detection (MTTD): This metric measures the average time it takes from when a failure occurs to when it is detected by the team. A high MTTD means that failures are going unnoticed for a long time. Reviewing this metric can help identify inefficiencies in your monitoring and alerting setup.