AWS DevOps Engineer Professional Practice Test 2026 - Free DevOps Practice Questions and Certification Study Guide

Running tests in a staging environment within AWS CodePipeline can be effectively streamlined by creating a stage after deployment to run CodeBuild. This approach is advantageous because it allows for a dedicated pipeline step specifically for executing your tests. By placing this testing stage right after deployment, you ensure that the application has been deployed to a staging environment where all configurations and behaviors closely mirror the production environment. This results in meaningful test outcomes that can identify potential issues before promoting changes to production.

Using CodeBuild in this context maximizes the capabilities of AWS's build service. It can leverage pre-defined or custom test suites that can be easily integrated and manipulated within the pipeline framework. Additionally, this method leverages the full power of AWS services, including the ability to scale resources dynamically according to the needs of the tests being executed.

While manual approval stages, AWS Lambda testing, and embedding tests directly within the buildspec file might provide testing capabilities, they do not offer the same level of isolation and environment fidelity that a dedicated CodeBuild stage following deployment does. For instance, manual approval introduces delays and does not automate testing, while using Lambda might not accommodate complex test scenarios as robustly as CodeBuild. Implementing tests directly in the buildspec file might limit flexibility and complicate the pipeline