Hotspot Question You have an Azure DevOps project that is used to build and test an app named App1. You need to troubleshoot the following issues: - Most bugs are detected and reported by customers. -

Question

Exhibit

Answer Area

• Most bugs being detected and reported by customers:
  Application failure ratesBug report ratesDefect escape rateMean time to detectionMean time to recover
• It takes a long time to detect failures:
  Application failure ratesBug report ratesDefect escape rateMean time to detectionMean time to recover

Explanation

This question tests knowledge of DevOps metrics used to measure software quality and pipeline efficiency, specifically identifying which metric maps to which operational problem.

Approach. For the issue 'Most bugs are detected and reported by customers,' the correct metric to review is Defect Escape Rate - this measures the percentage of defects that slip past internal testing and reach production/customers, directly indicating that pre-release testing is insufficient. For the issue 'It takes a long time to detect failures,' the correct metric to review is Mean Time to Detect (MTTD) - this measures the average time between when a failure occurs and when it is identified by the team, pinpointing delays in monitoring, alerting, or feedback loops in the CI/CD pipeline.

Concept tested. DevOps quality metrics: Defect Escape Rate measures how many bugs reach end users without being caught internally, while Mean Time to Detect (MTTD) measures the speed of failure detection within the system. Understanding which metric corresponds to which symptom is essential for diagnosing DevOps pipeline and testing process issues.

Reference. Microsoft Learn - DevOps metrics and Azure DevOps reporting; DORA metrics framework (Deployment Frequency, Lead Time for Changes, MTTR, Change Failure Rate)

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