Key points

• CodePipeline coordinates source, build, test, approval, and deployment stages for pipeline code.
• Keep artifact identity and environment-specific configuration explicit across promotion boundaries.

Best-known use cases

• Automate source, build, test, and deployment stages for pipeline code.
• Require successful validation before promoting data jobs between environments.

What candidates often confuse it with

• CodePipeline orchestrates CI/CD stages; CodeBuild performs builds and CodeDeploy performs supported target deployments.

Key takeaway

Choose CodePipeline when validation and promotion must be enforced as a repeatable delivery sequence.

Relevant exam tasks

• D1.4 — Task 1.4: Apply programming concepts
• 1.4.4 — Use software engineering best practices for data engineering (for example, version control, testing, logging, monitoring).
• 1.4.9 — Describe continuous integration and continuous delivery (CI/CD) (implementation, testing, and deployment of data pipelines).

Learn more

• DEA-C01 in-scope services
• DEA-C01 Domain 1: Data Ingestion and Transformation