SAP-C02 Design for New Solutions Practice Question
A company is designing a new CI/CD pipeline for a containerized application using AWS CodePipeline. The application source code is stored in an Amazon S3 bucket. The pipeline must automatically build a Docker image from the source code and push it to Amazon ECR. Which action should be used as the build provider?
⚠ Common exam trap
Candidates often confuse Amazon ECS (a container runtime service) with a build service, or assume CodeDeploy can handle image building because it supports ECS deployments, but neither service can compile source code or push images to ECR.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
AWS CodeBuild
AWS CodeBuild is the correct build provider because it is a fully managed continuous integration service that can compile source code, run tests, and produce Docker images. It integrates natively with CodePipeline and Amazon ECR, allowing you to define a buildspec.yml file that uses the 'aws ecr get-login-password' command and 'docker build/push' commands to build and push the image directly to ECR.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS CodeDeploy
Why it's wrong here
AWS CodeDeploy is a deployment service that automates code deployments, not a build service.
- ✗
AWS CodeCommit
Why it's wrong here
AWS CodeCommit is a Git-based source control service, not a build service. It cannot build Docker images.
- ✗
Amazon ECS
Why it's wrong here
Amazon ECS is a container orchestration service for running containers, not for building them.
- ✓
AWS CodeBuild
Why this is correct
AWS CodeBuild is a fully managed build service that can compile source code, run tests, and produce software packages, including Docker images, which it can push to ECR.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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