Content Domain 1: SDLC Automation - AWS Certification
Task Statement 1.1: Implement CI/CD pipelines.Task Statement 1.2: Integrate automated testing into CI/CD pipelines.Task Statement 1.3: Build and manage artifacts.Task Statement 1.4: Implement deployment strategies for instance, container, and serverless environments.

Content Domain 1: SDLC Automation

Task Statement 1.1: Implement CI/CD pipelines.

Knowledge of:

  • Software development lifecycle (SDLC) concepts, phases, and models

  • Pipeline deployment patterns for single- and multi-account environments

Skills in:

  • Configuring code, image, and artifact repositories

  • Using version control to integrate pipelines with application environments

  • Setting up build processes (for example, AWS CodeBuild)

  • Managing build and deployment secrets (for example, AWS Secrets Manager, AWS Systems Manager Parameter Store)

  • Determining appropriate deployment strategies (for example, AWS CodeDeploy)

Task Statement 1.2: Integrate automated testing into CI/CD pipelines.

Knowledge of:

  • Different types of tests (for example, unit tests, integration tests, acceptance tests, user interface tests, security scans)

  • Reasonable use of different types of tests at different stages of the CI/CD pipeline

Skills in:

  • Running builds or tests when generating pull requests or code merges (for example, CodeBuild)

  • Running load/stress tests, performance benchmarking, and application testing at scale

  • Measuring application health based on application exit codes

  • Automating unit tests and code coverage

  • Invoking AWS services in a pipeline for testing

Task Statement 1.3: Build and manage artifacts.

Knowledge of:

  • Artifact use cases and secure management

  • Methods to create and generate artifacts

  • Artifact lifecycle considerations

Skills in:

  • Creating and configuring artifact repositories (for example, AWS CodeArtifact, Amazon S3, Amazon Elastic Container Registry [Amazon ECR])

  • Configuring build tools for generating artifacts (for example, CodeBuild, AWS Lambda)

  • Automating Amazon EC2 instance and container image build processes (for example, EC2 Image Builder)

Task Statement 1.4: Implement deployment strategies for instance, container, and serverless environments.

Knowledge of:

  • Deployment methodologies for various platforms (for example, Amazon EC2, Amazon Elastic Container Service [Amazon ECS], Amazon Elastic Kubernetes Service [Amazon EKS], Lambda)

  • Application storage patterns (for example, Amazon Elastic File System [Amazon EFS], Amazon S3, Amazon Elastic Block Store [Amazon EBS])

  • Mutable deployment patterns in contrast to immutable deployment patterns

  • Tools and services available for distributing code (for example, CodeDeploy, Image Builder)

Skills in:

  • Configuring security permissions to allow access to artifact repositories (for example, AWS Identity and Access Management [IAM], CodeArtifact)

  • Configuring deployment agents (for example, CodeDeploy agent)

  • Troubleshooting deployment issues

  • Using different deployment methods (for example, blue/green, canary)