A digital publishing organization is preparing to deploy a serverless document indexing architecture on Google Cloud using Cloud Functions, Eventarc, and Firestore. The lead architect must establish a pre-flight testing and validation procedure to ensure automated infrastructure deployment, quota readiness, and operational stability before releasing to production. Which validation procedure represents Google Cloud best practices for testing technical solutions?
- Perform automated dry-run plan validation of Infrastructure as Code templates, verify regional project quotas for Cloud Functions and Firestore prior to provisioning, and run synthetic load tests in an isolated staging environment with least-privilege service accounts.Cevap
- BExecute production deployment scripts directly and rely on Cloud Logging alerts during synthetic stress testing to identify missing regional quota capacity as execution errors occur.
- CRun automated infrastructure provisioning scripts against staging while storing the environment state file in local unversioned storage to accelerate test iteration speed.
- DExecute validation tests while relying strictly on IAM roles and permissions to prevent data exfiltration from the staging environment to external storage buckets.
Cevap
The correct validation procedure requires executing automated dry-run plan checks for Infrastructure as Code templates, pre-verifying regional GCP quotas for dependent services, and conducting synthetic stress tests in an isolated staging environment using least-privilege service accounts.
Comprehensive technical solution validation requires verifying prerequisites (such as regional quota headroom), performing dry-run syntax and plan checks on IaC configurations, and executing load tests in a dedicated staging environment with strict security posture.
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Developing Procedures to Test and Validate Technical Solutions