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Question 245 - DOP-C02 discussion

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A DevOps engineer uses AWS CodeBuild to frequently produce software packages. The CodeBuild project builds large Docker images that the DevOps engineer can use across multiple builds. The DevOps engineer wants to improve build performance and minimize costs. Which solution will meet these requirements?

A.
Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Implement a local Docker layer cache for CodeBuild.
Answers
A.
Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Implement a local Docker layer cache for CodeBuild.
B.
Cache the Docker images in an Amazon S3 bucket that is available across multiple build hosts. Expire the cache by using an S3 Lifecycle policy.
Answers
B.
Cache the Docker images in an Amazon S3 bucket that is available across multiple build hosts. Expire the cache by using an S3 Lifecycle policy.
C.
Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Modify the CodeBuild project runtime configuration to always use the most recent image version.
Answers
C.
Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Modify the CodeBuild project runtime configuration to always use the most recent image version.
D.
Create custom AMIs that contain the cached Docker images. In the CodeBuild build, launch Amazon EC2 instances from the custom AMIs.
Answers
D.
Create custom AMIs that contain the cached Docker images. In the CodeBuild build, launch Amazon EC2 instances from the custom AMIs.
Suggested answer: A

Explanation:

Step 1: Storing Docker Images in Amazon ECR Docker images can be large, and storing them in a centralized, scalable location can greatly reduce build times. Amazon Elastic Container Registry (ECR) is a fully managed container registry that stores, manages, and deploys Docker container images. Action: Store the Docker images in an ECR repository. Why: Storing Docker images in ECR ensures that Docker images can be reused across multiple builds, improving build performance by avoiding the need to rebuild the images from scratch.

Step 2: Implementing Docker Layer Caching in CodeBuild Docker layer caching is essential for improving performance in continuous integration pipelines. CodeBuild supports local caching of Docker layers, which speeds up builds that reuse Docker images across multiple runs.

Action: Implement Docker layer caching within the CodeBuild project.

Why: This improves performance by allowing frequently used Docker layers to be cached locally, avoiding the need to pull or build the layers every time.

This corresponds to Option A: Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Implement a local Docker layer cache for CodeBuild.

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asked 16/09/2024
An Khang Nguyen
48 questions
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