Examkin

Question

Difficulty: MediumDeveloping Procedures to Test and Validate Technical Solutions

A fintech company is establishing a procedure to test and validate a new microservices-based transaction processing solution on Google Cloud before moving it to production. The architecture uses Terraform for Infrastructure as Code (IaC) and Google Kubernetes Engine (GKE) for compute. The validation procedure must ensure infrastructure readiness, deployment safety, and pre-flight operational checks without risking configuration drift or quota failures. Which TWO steps should be included in this solution validation procedure? (Select TWO)

  1. Perform automated dry-run plan validations (`terraform plan`) using a versioned Cloud Storage remote backend with state locking in the CI/CD pipeline.Answer
  2. Verify regional resource quota limits in Cloud Quotas and execute load tests in a dedicated staging environment prior to initiating production deployment.Answer
  3. C
    Store the local Terraform state file on the temporary CI/CD runner disk without backend locking to increase pipeline validation execution speed.
  4. D
    Defer evaluating and requesting regional quota increases until load testing in the production environment triggers automated quota alerts.

Answer

The validation procedure should include performing automated dry-run plan validations using a versioned Cloud Storage remote backend with state locking, and verifying regional resource quota limits while executing load tests in a dedicated staging environment.
Validating technical solutions on Google Cloud requires a comprehensive approach covering both Infrastructure as Code (IaC) deployment safety and infrastructure capacity readiness. Using a versioned Cloud Storage backend with state locking during automated `terraform plan` executions ensures that proposed infrastructure changes are validated safely without risking state corruption. Additionally, proactively verifying regional quota availability and conducting load tests in an isolated staging environment ensures the environment is prepared for operational traffic without hitting resource limits.

Step-by-Step Solution

1
Analyze the technical validation requirements for Infrastructure as Code and cloud environment readiness.
Identified the need for secure state management, pre-deployment dry runs, and proactive quota verification.
Technical solution validation requires verifying that infrastructure definitions are deterministic and environment quotas can support workload demands.
2
Evaluate IaC state management and testing practices.
Selected automated `terraform plan` execution backed by versioned Cloud Storage with locking, while rejecting unversioned local state storage.
Remote state backends with locking prevent state corruption and race conditions during automated pipeline validation.
3
Evaluate capacity and quota validation strategies.
Selected proactive quota checking in Cloud Quotas and staging load testing, while rejecting delayed quota requests.
Quota increases require lead time; requesting them after experiencing production failures causes deployment blockages.

Key Concept

Technical solution validation procedures for cloud infrastructure and IaC readiness
Rate this question

Topics

Developing Procedures to Test and Validate Technical Solutions