GCP Professional Cloud Architect Practice Question

Your company operates workloads in both Google Cloud and AWS. The platform team wants to define infrastructure once and provision resources consistently across both clouds. They also need a workflow that supports plan/apply steps, a centralized state backend in Cloud Storage, and a vibrant ecosystem of reusable community modules. Which Google-supported infrastructure-as-code approach best satisfies these requirements?

Automate gcloud command-line scripts executed on a schedule by Cloud Scheduler.
Use Cloud Deployment Manager with YAML templates executed by Cloud Build triggers.
Use Terraform with the Google Cloud provider and store remote state in a Cloud Storage bucket.
Create resources interactively in Cloud Console and rely on Cloud Audit Logs for record-keeping.

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Answer Description

Terraform meets all stated needs. The HashiCorp Terraform CLI offers separate "plan" and "apply" phases, which enable change reviews before execution. Its Google Cloud provider allows you to store remote state files securely in Cloud Storage buckets, and Terraform's provider model lets the same configuration manage AWS resources alongside GCP resources, delivering true multi-cloud provisioning. The public Terraform Registry supplies many pre-built modules.
Cloud Deployment Manager is limited to Google Cloud resources and lacks first-class AWS support. Automating gcloud scripts is imperative but not declarative IaC and offers no built-in plan phase or shared module registry. Manually building resources in Cloud Console is not infrastructure as code and cannot be version-controlled or replayed across environments.

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