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AWS CodePipeline

AWS CodePipeline coordinates source, build, test, approval, and deployment stages. A GenAI release pipeline can require versioned evaluation evidence before promoting models, prompts, retrieval code, or infrastructure.

Key points

  • Stages pass immutable artifacts between actions
  • Manual approvals can guard high-impact environments
  • Cross-account roles support controlled promotion boundaries

When to use it

  • Gate prompt promotion on a fixed regression suite
  • Promote a signed inference image through test and production accounts

Exam tips

  • Use CodePipeline to orchestrate delivery and CodeBuild to run custom tests
  • Version datasets and thresholds with artifacts so an old approval remains reproducible

Free AWS Certified Generative AI Developer - Professional prep

Build focused AIP-C01 quizzes from exam domains, topics, and AWS services.

Practice with exam-style multiple-choice and multiple-response questions, clearly labeled supplemental exercises, score breakdowns, explanations, and a compact reference for this lane's official exam domains.

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Exam fidelity: AWS lists multiple choice and multiple response for this exam. Ordering, matching, and case-study items are supplemental learning exercises; their results stay in overall study accuracy but do not count toward exam-style accuracy. Difficulty labels describe this site's scenario complexity, not an AWS-published question rating.

Reference

AIP-C01 topics and service map

Study links

AIP-C01 resources