Which of the following accurately describes a typical use case in which the AWS CodePipeline service can be utilized?
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A. B. C. D.Correct Answer:D.
The question is looking for a typical use case for AWS CodePipeline.
Option D is the most appropriate because AWS CodePipeline is typically utilized when orchestrating and automating the various phases involved in the release of application updates in-line with a release model that the developer defines.
https://aws.amazon.com/codepipeline/Option A is INCORRECT because composing code in an integrated development environment that enables developers to run, test, and debug components of a dynamic microservice is the typical AWS Cloud9 IDE function.
Option B is INCORRECT because compiling and deploying microservices on Amazon EC2 instances or AWS Lambda functions are the typical functions of AWS CodeDeploy.
Option C is INCORRECT because securely sharing code, collaborating on source code, version control and storing binaries on an AWS fully-managed platform describe the functions of CodeCommit.
Option D is the correct answer.
AWS CodePipeline is a fully-managed service that allows developers to build, test, and deploy their applications to the cloud in a streamlined and automated way. It is primarily designed to automate the release process of software applications by creating a continuous delivery pipeline that can help developers and teams deliver new features, updates, and fixes to their applications rapidly and consistently.
Option A describes an integrated development environment (IDE) that enables developers to write, test and debug code. While an IDE is a critical tool for software development, it is not the same as CodePipeline, which is focused on automating the software delivery process.
Option B describes a task that can be accomplished using CodeDeploy, a separate AWS service that is designed to automate code deployment to EC2 instances and Lambda functions. CodeDeploy is one of the tools that can be used as part of a CodePipeline workflow.
Option C describes a combination of services like AWS CodeCommit, CodeBuild and CodeArtifact which can be used for source code management, building binaries, and storing artifacts. However, CodePipeline offers more than just code collaboration, version control, and artifact storage. It is a comprehensive release orchestration service that can help automate the entire release process from building and testing to deploying and monitoring the application.
Therefore, option D is the most accurate description of a typical use case for AWS CodePipeline, which is to orchestrate and automate the various phases involved in the release of application updates in-line with a predefined release model.