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Exam AWS Certified DevOps Engineer - Professional DOP-C02 All Questions

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Exam AWS Certified DevOps Engineer - Professional DOP-C02 topic 1 question 150 discussion

Exam question from Amazon's AWS Certified DevOps Engineer - Professional DOP-C02
Question #: 150
Topic #: 1
[All AWS Certified DevOps Engineer - Professional DOP-C02 Questions]

A company is building a web and mobile application that uses a serverless architecture powered by AWS Lambda and Amazon API Gateway. The company wants to fully automate the backend Lambda deployment based on code that is pushed to the appropriate environment branch in an AWS CodeCommit repository.

The deployment must have the following:

• Separate environment pipelines for testing and production
• Automatic deployment that occurs for test environments only

Which steps should be taken to meet these requirements?

  • A. Configure a new AWS CodePipeline service. Create a CodeCommit repository for each environment. Set up CodePipeline to retrieve the source code from the appropriate repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.
  • B. Create two AWS CodePipeline configurations for test and production environments. Configure the production pipeline to have a manual approval step. Create a CodeCommit repository for each environment. Set up each CodePipeline to retrieve the source code from the appropriate repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.
  • C. Create two AWS CodePipeline configurations for test and production environments. Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment. Set up each CodePipeline to retrieve the source code from the appropriate branch in the repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.
  • D. Create an AWS CodeBuild configuration for test and production environments. Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment. Push the Lambda function code to an Amazon S3 bucket. Set up the deployment step to deploy the Lambda functions from the S3 bucket.
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Suggested Answer: C 🗳️
by csG13 at Dec. 29, 2023, 2:57 p.m.
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thanhnv142
Highly Voted 8 months, 3 weeks ago
Selected Answer: C
C is correct: <Separate environment pipelines for testing and production> means codepipeline <code that is pushed to the appropriate environment branch in an AWS CodeCommit repository.> means code CodeCommit A: no mention of creating Separate env for test and dev B: <Create a CodeCommit repository for each environment> should not do this. We should create a branch for each env D: no mention of code pipelines
upvoted 6 times
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c3518fc
Most Recent 6 months ago
Selected Answer: C
By creating two CodePipeline configurations, using a single CodeCommit repository with branches for each environment, and deploying Lambda functions with CloudFormation, this solution meets the requirements while following best practices for source code management, continuous delivery, and infrastructure as code.
upvoted 3 times
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PrasannaBalaji
9 months, 4 weeks ago
Selected Answer: C
C is correct First, A&B both are in-correct: As a basic policy - do not create a repo for the same code for multiple environments. Always create a branch from the same repo. The strategy is wrong for A&B. Now C&D: D uses Lambda function with s3, whereas C uses code pipeline to store and build. Using code pipeline is a smart choice rather than using S3 as a code pipeline that offers better branching strategy and controls. I will go with ‘C”.
upvoted 3 times
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csG13
10 months ago
Selected Answer: C
It’s C - unique env and also distinct resources in aws codepipeline would result to pull from both repos on every update of either repo.
upvoted 2 times
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