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Domain 1Objective 2

Design and Implement Appropriate Metrics and Queries for DevOps AZ-400 Practice Questions (Page 6)

Part of the Design and implement processes and communications domain, which makes up ~22% of our current practice bank. Microsoft does not publish an official question count, but from its 140-minute exam (~55–95 total, ~12–21 in this domain), expect 4–7 from this objective — we provide 46 practice questions to prepare you well beyond it. (estimate)

46questions here
10free pages
9concepts

Questions 26–30

  1. 26application · medium

    A QA team wants to evaluate the effectiveness of their automated test suite. They have access to test results from Azure Pipelines, code coverage data, and production defect reports. They want to know if the tests are catching defects before release. Which metric should they track?

    Select an answer first
  2. 27application · medium

    A security team wants to ensure that vulnerabilities are not introduced into the codebase. They have integrated Microsoft Defender for Cloud into their Azure DevOps pipeline. Which metric should they track to measure the effectiveness of their security scanning?

    Select an answer first
  3. 28foundation · easy

    A DevOps team wants to create a dashboard that provides a quick, at-a-glance view of the team's delivery performance. Which combination of metrics would best serve this purpose?

    Select an answer first
  4. 29expert · hard

    A company's SLO requires 99.9% availability. They currently track MTTR as the time from when the on-call engineer acknowledges the incident to when the incident is marked resolved. The team wants to improve their MTTR, but they are not meeting their SLO. An analysis shows that the time between incident detection and acknowledgment is often 30 minutes or more. Which change to their metrics would best help them improve their SLO?

    Select an answer first
  5. 30expert · hard

    A team wants to reduce the number of defects that reach production. They have a high unit test coverage percentage, but production incidents are still frequent. An analysis shows that many incidents are caused by integration issues between services. Which metric should the team add to their development process to better predict these integration defects?

    Select an answer first
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