Question

Difficulty: Very hardInfrastructure as Code and Environment Provisioning

An enterprise organization is establishing an automated, highly reliable Infrastructure as Code (IaC) continuous integration and deployment pipeline using Cloud Build and Terraform to provision multi-region production environments on Google Cloud. The architecture must guarantee state safety, strictly enforce security guardrails before resource creation, and prevent deployment rollouts if operational verification fails. In what sequential order should the pipeline execute these environment provisioning steps?

  1. 1Authenticate the Cloud Build runner via Service Account impersonation and acquire the state lock on the remote Cloud Storage backend bucket.
  2. 2Execute 'terraform plan' combined with automated policy-as-code static analysis against Organization Policy constraints.
  3. 3Run 'terraform apply' to provision the network, compute, and database resources across primary and secondary target regions.
  4. 4Execute automated post-provisioning integration tests and synthetic health checks against the newly created infrastructure endpoints.
  5. 5Record the pipeline execution status in the centralized deployment audit log and release the Cloud Storage remote state lock.

Answer

The correct sequence starts with authenticating and acquiring the backend state lock, followed by generating the plan with automated policy validation, applying the resource changes, executing post-provisioning verification tests, and finally recording deployment audit logs while releasing the state lock.
A reliable IaC deployment pipeline follows a strict sequence: lock state and authenticate, validate plan against security policies, apply changes, verify live health post-deployment, and unlock state while logging audit events.

Step-by-Step Solution

1
Authenticate using keyless service account impersonation and acquire the GCS backend state lock.
Establishes secure, short-lived IAM credentials and prevents concurrent state file access.
Acquiring state lock prior to execution ensures state consistency and prevents race conditions across CI/CD workers.
2
Run static analysis and policy checking tools against the output of 'terraform plan'.
Identifies compliance violations and security misconfigurations prior to resource deployment.
Evaluating infrastructure plans against policy-as-code ensures security and compliance guardrails are enforced before infrastructure modification.
3
Execute 'terraform apply' targeting the specified GCP environment configuration.
Provisions and configures GCP infrastructure components defined in the Terraform configuration files.
Resource creation can only safely proceed after the plan passes both syntax and policy validation checks.
4
Run automated post-deployment validation and health verification testing.
Confirms operational readiness, network routing, and service health against SLO criteria.
Verifying infrastructure functionality ensures that misconfigured resources are detected before routing live business workloads.
5
Log pipeline deployment completion metrics and release the remote GCS state lock.
Completes the pipeline execution lifecycle and frees the state file for subsequent pipeline runs.
Unlocking the state backend and updating compliance audit trails must be executed as the final step in the pipeline lifecycle.

Key Concept

Reliable Infrastructure as Code Pipeline Lifecycle and State Lock Management
Estimated Time:3m 0s
Rate this question