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An enterprise organization is designing an automated CI/CD pipeline in Google Cloud to build and manage container images across staging and production environments. The cloud architecture and security teams have established the following requirements:
Which solution should the cloud architect implement?
This architecture leverages Google Cloud Build triggers configured with dedicated user-specified service accounts, parameterized build substitutions, and Google Cloud Artifact Registry integrated with Artifact Analysis for end-to-end supply chain security.
StudyCerts
StudyCertsroles/artifactregistry.writer and roles/logging.logWriter), you prevent builds from executing with broad default project-level permissions.$PROJECT_ID) and user-defined substitutions (such as ${_LOCATION} and ${_REPOSITORY}) in a single cloudbuild.yaml allows the exact same build template to deploy across staging and production environments dynamically.Native integration between Cloud Build, Artifact Registry, and Artifact Analysis provides fully managed, serverless, and hardened CI/CD execution without needing third-party plugins or managing underlying build runner infrastructure.
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