Why is hypothesis evaluation important when analyzing data from monitoring systems in the Release on Demand aspect?

Why is hypothesis evaluation important when analyzing data from monitoring systems in the Release on Demand aspect?A . It helps quickly create balanced scorecards for stakeholder review B. It helps operations teams know where to apply emergency fixes C. It helps link objective production data to the hypothesis being tested...

October 14, 2022 No Comments READ MORE +

What is the purpose of the blue/green deployment pattern?

What is the purpose of the blue/green deployment pattern?A . To deploy between an inactive and active environment B. To ensure no changes happen in production without going through the Continuous Delivery Pipeline C. To deploy to only some data centers to reduce the deployment risk D. To decouple deployment...

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Which term describes the time it takes value to flow across the entire Value Stream?

Which term describes the time it takes value to flow across the entire Value Stream?A . Activity ratio B. Total lead time C. Deployment frequency D. Rolled percent complete and accurateView AnswerAnswer: B Explanation: Evaluate the efficiency of your current Value Stream

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What is the recommended way to prioritize the potential items for the DevOps transformation?

What is the recommended way to prioritize the potential items for the DevOps transformation?A . Minimum viable product B. Lean business case. C. Minimum marketable feature. D. Weighted Shortest Job First.View AnswerAnswer: D Explanation: https://www.scaledagileframework.com/wsjf/

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Which teams should coordinate when responding to production issues?

Which teams should coordinate when responding to production issues?A . Teams across the Value Stream B. Dev teams and Ops teams C. SRE teams and System Teams D. Support teams and Dev teamsView AnswerAnswer: A Explanation: https://www.scaledagileframework.com/continuous-deployment/

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What are two aspects of the Continuous Delivery Pipeline, in addition to Continuous Integration? (Choose two.)

What are two aspects of the Continuous Delivery Pipeline, in addition to Continuous Integration? (Choose two.)A . Continuous Release B. Continuous Deployment C. Continuous Improvement D. Continuous Exploration E. Continuous TestingView AnswerAnswer: B,D Explanation: https://www.scaledagileframework.com/continuous-delivery-pipeline/

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What does continuous mean in this context?

DevOps is a key enabler of continuous delivery. What does continuous mean in this context?A . To deploy to production and release on cadence every Iteration B. To deploy to production and release at least once every Program increment C. To deploy to production as often as possible and release...

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What identifies potential changes to the current-state Value Stream that could improve flow?

What identifies potential changes to the current-state Value Stream that could improve flow?A . Value Stream identification B. Problem-solving workshop C. Impact mapping D. Future-state mappingView AnswerAnswer: D Explanation: https://www.scaledagile.com/devops/

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What is an output of the Release activity?

What is an output of the Release activity?A . A Feature migrated to the cloud B. A Feature deployed to production C. A Feature made available to end users D. A Feature made available to internal usersView AnswerAnswer: C Explanation: https://www.scaledagileframework.com/release-on-demand/

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Which Metric reflects the quality of output at each step in the Value Stream?

Which Metric reflects the quality of output at each step in the Value Stream?A . Process time B. Lead Time C. Activity Ratio D. Percent complete and accurate (%C/A)View AnswerAnswer: D Explanation: https://www.scaledagileframework.com/continuous-delivery-pipeline/

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