A team wants to measure the reliability of their release process. They deploy to production multiple times per day and want to know how often a deployment causes a service disruption. Which metric should they track?

Lead time for changes: time from commit to production

Mean time to recover: average time to restore service after an incident

Deployment frequency: number of deployments per day

Change failure rate: percentage of deployments that result in a service incident

A team uses a Kanban board in Azure Boards. They want to identify bottlenecks in their workflow by measuring how long work items spend in each column. They have access to the board's history and work item fields. Which metric should they implement?

The total number of work items in each column at the end of each day.

The number of work items completed per day.

The average cycle time for each column, calculated from the timestamps of column changes.

The percentage of work items that are blocked at any point.

A team notices that features take a long time from idea to production, but the actual coding time is short. They suspect most delay happens before development starts and during code review. Which two metrics should they track to confirm this?

Lead time and change failure rate

Cycle time and mean time to recover

Cycle time and deployment frequency

A QA team wants to reduce the time spent on manual regression testing without increasing the defect escape rate. They have data on test execution time, defect escape rate, and code coverage. They want to identify which test cases are most valuable to automate first. Which metric should they use to prioritize test automation?

The code coverage of each test case.

The execution time of each test case.

The defect detection rate of each test case, calculated from historical results.

The number of test cases in the regression suite.

Microsoft Certified:DevOps Engineer Expert

Domain 1Objective 2

Design and Implement Appropriate Metrics and Queries for DevOps AZ-400 Practice Questions (Page 3)

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 11–15

11foundation · easy
A DevOps team wants to measure the average time it takes for a code change to be integrated into the main branch. Which metric is most appropriate?
Select an answer first
12application · medium
A team wants to measure the reliability of their release process. They deploy to production multiple times per day and want to know how often a deployment causes a service disruption. Which metric should they track?
Select an answer first
13application · medium
A team uses a Kanban board in Azure Boards. They want to identify bottlenecks in their workflow by measuring how long work items spend in each column. They have access to the board's history and work item fields. Which metric should they implement?
Select an answer first
14application · medium
A team notices that features take a long time from idea to production, but the actual coding time is short. They suspect most delay happens before development starts and during code review. Which two metrics should they track to confirm this?
Select an answer first
15expert · hard
A QA team wants to reduce the time spent on manual regression testing without increasing the defect escape rate. They have data on test execution time, defect escape rate, and code coverage. They want to identify which test cases are most valuable to automate first. Which metric should they use to prioritize test automation?
Select an answer first

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Design and Implement Appropriate Metrics and Queries for DevOps AZ-400 Practice Questions (Page 3)

Questions 11–15

A DevOps team wants to measure the average time it takes for a code change to be integrated into the main branch. Which metric is most appropriate?

A team wants to measure the reliability of their release process. They deploy to production multiple times per day and want to know how often a deployment causes a service disruption. Which metric should they track?

A team uses a Kanban board in Azure Boards. They want to identify bottlenecks in their workflow by measuring how long work items spend in each column. They have access to the board's history and work item fields. Which metric should they implement?

A team notices that features take a long time from idea to production, but the actual coding time is short. They suspect most delay happens before development starts and during code review. Which two metrics should they track to confirm this?

Keep studying — Design and implement processes and communications