Design and Implement Appropriate Metrics and Queries for DevOps AZ-400 Practice Questions (Page 9)

Questions 41–45

1. 41foundation · easy

   A DevOps team wants to measure the percentage of deployments that cause a failure in production. Which metric should they use?

   • AMean time to recovery (MTTR)
   • BChange failure rate
   • CLead time
   • DDeployment frequency
   Reveal Solution Discussion Select an answer first
2. 42application · medium

   A development team wants to assess the efficiency of their code review process. They have data on the time from pull request creation to first review comment, the number of review iterations per pull request, and the number of defects found in production per release. Which set of metrics should they use to evaluate the code review process specifically?

   • ANumber of active developers, lines of code changed per pull request, and total pull requests per day.
   • BCode coverage percentage, test pass rate, and number of unit tests per pull request.
   • CDeployment frequency, change failure rate, and mean time to recovery.
   • DAverage time to first review, average number of review iterations, and percentage of pull requests merged without changes.
   Reveal Solution Discussion Select an answer first
4. 43application · medium

   A project manager wants to use historical data to improve sprint planning. They have data on story points completed per sprint, cycle time per work item, and the number of defects found in each sprint. They want to forecast how many story points the team can complete in the next sprint with a reasonable confidence level. Which metric should they primarily use?

   • AThe defect density, calculated as defects per story point, from the last sprint.
   • BThe team's historical velocity, calculated as the average story points completed per sprint over the last several sprints.
   • CThe average cycle time of work items in the last three sprints.
   • DThe lead time from creation to completion for the largest work item in the previous sprint.
   Reveal Solution Discussion Select an answer first
5. 44expert · hard

   A team uses Azure Boards and wants to identify bottlenecks in their workflow. They have a Cumulative Flow Diagram (CFD) that shows the number of items in each state over time. The CFD shows that the 'In Review' band is widening over time, while the 'Done' band is flat. Which conclusion can the team draw from this?

   • AThe team should increase the number of items in the 'New' state
   • BThe team is completing work faster than it is entering the 'In Review' state
   • CThe team is not creating enough new work items
   • DThe 'In Review' state is a bottleneck because work is accumulating there faster than it is being completed
   Reveal Solution Discussion Select an answer first
6. 45expert · hard

   A security team wants to reduce the time it takes to remediate vulnerabilities in container images. They currently scan images at build time and track vulnerabilities in a dashboard. They notice that many vulnerabilities are introduced by base images that are rarely updated. They want to shift left by addressing vulnerabilities earlier in the development process. Which metric should they implement to drive this behavior?

   • AThe percentage of images scanned at build time.
   • BThe age of the base image used in each build.
   • CThe time from image build to deployment.
   • DThe number of vulnerabilities found in production images.
   Reveal Solution Discussion Select an answer first