Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
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You have an Azure pipeline that is used to deploy a web app. The pipeline includes a test suite named TestSuite1. TestSuite1 is used to validate the operations of the web app.
TestSuite1 fails intermittently.
You identify that the failures are unrelated to changes in the source code and execution environment.
You need to minimize troubleshooting effort for the TestSuite1 failures.
Solution: You enable Test Impact Analysis (TIA).
Does this meet the goal?

You plan to provision a self-hosted Linux agent
Which authentication mechanism should you use to register the self-hosted agent?

You use Azure Pipelines to build and release application code, The pipelines include validation tests that must be completed successfully before deployment proceeds from the test stage to production.
You discover inconsistent test outcomes for the same source code.
You need to validate the test logic.
What should you do?

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an approval process that contains a condition. The condition requires that releases be approved by a team leader before they are deployed.
You have a policy stating that approvals must occur within eight hours.
You discover that deployment fail if the approvals take longer than two hours.
You need to ensure that the deployments only fail if the approvals take longer than eight hours.
Solution: From Post-deployment conditions, you modify the Timeout setting for post-deployment approvals.
Does this meet the goal?

You use Azure Pipelines to manage build pipelines. GitHub to store source code, and Dependabot to manage dependencies.
You have an app named App1.
Dependabot detects a dependency in App1 that requires an update.
What should you do first to apply the update?