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Which of these is not an instrinsic function in AWS CloudFormation?
After a daily scrum with your development teams, you've agreed that using Blue/Green style deployments would benefit the team. Which technique should you use to deliver this new requirement?
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A DevOps Engineer must create a Linux AMI in an automated fashion. The newly created AMI identification must be stored in a location where other build pipelines can access the new identification programmatically What is the MOST cost-effective way to do this?
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A company updated the AWS CloudFormation template for a critical business application. The stack update process failed due to an error in the updated template, and AWS CloudFormation automatically began the stack rollback process. Later, a DevOps engineer discovered that the application was still unavailable and that the stack was in the UPDATE_ROLLBACK_FAILED state. Which combination of actions should the DevOps engineer perform so that the stack rollback can complete successfully? (Choose two.)
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Question 480 - DOP-C01 discussion

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You have been asked to de-risk deployments at your company. Specifically, the CEO is concerned about outages that occur because of accidental inconsistencies between Staging and Production, which sometimes cause unexpected behaviors in Production even when Staging tests pass. You already use Docker to get high consistency between Staging and Production for the application environment on your EC2 instances. How do you further de-risk the rest of the execution environment, since in AWS, there are many service components you may use beyond EC2 virtual machines?

A.
Develop models of your entire cloud system in CloudFormation. Use this model in Staging and Production to achieve greater parity.
Answers
A.
Develop models of your entire cloud system in CloudFormation. Use this model in Staging and Production to achieve greater parity.
B.
Use AWS Config to force the Staging and Production stacks to have configuration parity. Any differences will be detected for you so you are aware of risks.
Answers
B.
Use AWS Config to force the Staging and Production stacks to have configuration parity. Any differences will be detected for you so you are aware of risks.
C.
Use AMIs to ensure the whole machine, including the kernel of the virual machines, is consistent, since Docker uses Linux Container (LXC) technology, and we need to make sure the container environment is consistent.
Answers
C.
Use AMIs to ensure the whole machine, including the kernel of the virual machines, is consistent, since Docker uses Linux Container (LXC) technology, and we need to make sure the container environment is consistent.
D.
Use AWS ECS and Docker clustering. This will make sure that the AMIs and machine sizes are the same across both environments.
Answers
D.
Use AWS ECS and Docker clustering. This will make sure that the AMIs and machine sizes are the same across both environments.
Suggested answer: A

Explanation:

Only CloudFormation's JSON Templates allow declarative version control of repeatably deployable models of entire AWS clouds.

Reference: https://blogs.aws.amazon.com/application-management/blog/category/Best+practices

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asked 16/09/2024
Kostiantyn Lazurenko
44 questions
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