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Difficulty: HardDeveloping Procedures to Test and Validate Technical Solutions

A global logistics provider is establishing an automated testing and validation procedure for a critical order-processing engine deployed on Google Cloud. The deployment pipeline uses Infrastructure as Code (IaC) to provision regional GKE clusters and virtual networking resources. The lead architect must ensure the testing procedure automatically validates infrastructure availability constraints and state safety without compromising cluster security or least privilege access. Which TWO validation practices should be incorporated into the automated deployment procedure? (Select 2 answers)

  1. Include an automated pre-flight step in the deployment pipeline that queries Google Cloud Quotas APIs to verify regional resource quotas prior to executing IaC provisioning.Answer
  2. B
    Temporarily disable control plane authorized networks on private Google Kubernetes Engine (GKE) clusters during validation runs so external pipeline runners can execute cluster administration commands.
  3. Configure the IaC deployment pipeline to store state files in a remote Cloud Storage bucket with Object Versioning and state locking enabled.Answer
  4. D
    Grant the Service Account Admin role (roles/iam.serviceAccountAdmin) to the CI/CD pipeline service account so it can attach service accounts to compute instances during resource testing.

Answer

The correct validation practices are to include an automated pre-flight quota check against Google Cloud Quotas APIs prior to provisioning resources, and to store IaC state files in a remote Cloud Storage bucket with Object Versioning and state locking enabled.
Automating quota verification using Cloud Quotas APIs prevents deployment failures from unrequested quota limits, while using Cloud Storage with versioning and state locking protects IaC state integrity during testing runs.

Step-by-Step Solution

1
Analyze deployment validation requirements for quota capacity and infrastructure state safety.
Identified the need to prevent resource allocation failures and avoid Terraform state corruption during automated testing.
Large-scale infrastructure updates fail at runtime if quota limits are exceeded or if concurrent pipeline runs overwrite unversioned local state.
2
Evaluate the practice of automated quota verification.
Querying Cloud Quotas APIs pre-flight ensures sufficient regional quota before initiating resource deployment.
Failing to request or verify quotas in advance leads to mid-deployment failures and incomplete provisioning.
3
Evaluate IaC state backend management.
Configuring Cloud Storage with Object Versioning and locking provides safe concurrent state management for automated validation workflows.
Local unversioned state files lead to concurrency lock failures and state corruption across CI/CD execution environments.
4
Evaluate security constraints around private GKE access and IAM role assignment.
Confirmed that disabling master authorized networks exposes private clusters, and assigning Service Account Admin grants excessive rights.
Private GKE cluster endpoints should be accessed via internal runners or proxy bastions, and pipelines only require the Service Account User role for identity impersonation.

Key Concept

Developing automated testing procedures for infrastructure provisioning, quota validation, and state isolation in GCP CI/CD pipelines.
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Developing Procedures to Test and Validate Technical Solutions