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Prepare and test your skills
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Your enterprise data engineering team is designing a CI/CD pipeline in Google Cloud to automate the promotion of Dataflow batch processing pipelines and Cloud Composer DAGs from a development project to a production project.
The deployment pipeline must satisfy several security and governance constraints:
Which CI/CD and Infrastructure as Code (IaC) promotion strategy should you implement?
This architecture establishes an automated, secure CI/CD deployment and promotion pipeline using Cloud Build, Artifact Registry, Container Analysis, Binary Authorization, and VPC Service Controls. It manages the transition of containerized Dataflow jobs and Cloud Composer orchestration assets from development into a protected production boundary while strictly enforcing policy-as-code and vulnerability mitigation.
containersecurity.googleapis.com), Dataflow, and Cloud Storage, mitigating unauthorized external data exfiltration.This approach provides an end-to-end automated promotion pipeline that enforces automated vulnerability validation, strict network boundaries, and granular IAM permissions without creating administrative bypasses or misusing internal service agents.
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