Continuous Integration and Delivery Pipelines Questions
Design and implement continuous integration and continuous delivery pipelines that reliably build, test, validate, and deploy applications and infrastructure. Topics include pipeline as code practices, defining stages and triggers for builds and tests, automated testing strategies across unit, integration, smoke, and end to end tests, gating and environment promotion, branching and release strategies, artifact management and versioning, and deployment patterns such as rolling updates, blue green deployments, and canary releases. Candidates should be able to design rollback and recovery procedures, integrate infrastructure provisioning into pipelines, select and configure pipeline tooling such as Jenkins, GitHub Actions, GitLab CI, Azure Pipelines, or cloud vendor pipeline services, and reason about observability and reporting for pipeline health and test execution. Practical considerations include environment parity, pipeline security, secrets handling, pipeline as code best practices, and trade offs between speed and safety.
MediumTechnical
43 practiced
Design a GitHub Actions CI pipeline for a Node.js microservice: requirements — on PR run lint and unit tests; on merge to main build a Docker image, run integration tests against an ephemeral PostgreSQL service, tag the image with semantic version and commit SHA, and push to Docker Hub. Describe workflow file structure, caching strategy, secrets usage, and how to minimize run-time.
MediumSystem Design
29 practiced
Design a CI/CD pipeline to deploy services to multiple cloud regions with controlled promotion: how will artifacts be distributed, deployments sequenced across regions, health checks and canary windows defined, and automated failover executed if a region becomes unhealthy?
HardTechnical
34 practiced
Propose a quantitative model to measure deployment risk for each release and use it to choose between deployment strategies (canary, blue-green, rolling). Define the inputs (e.g., change size, historical incident rate, test coverage, service criticality), the computation or scoring method, thresholds for selecting strategies, and how to integrate it into pipeline automation.
EasyTechnical
34 practiced
Explain best practices for artifact versioning and storage in CI/CD for both Docker images and generic build artifacts. Cover tag schemes (semantic versions, build metadata), immutability, artifact promotion, retention/cleanup policies, and how downstream pipelines should reference artifacts.
HardTechnical
40 practiced
A deployment pipeline completed successfully, but within minutes production shows increased 500 errors. Provide a prioritized incident response plan to determine whether the problem stems from the pipeline, the deployed artifact, configuration drift, networking, or application code. Include immediate mitigation steps, data to gather, and pipeline improvements to prevent recurrence.
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