Google Professional Cloud DevOps Engineer exam dumps

Google Professional Cloud DevOps Engineer practice question 188 of 268

Professional Cloud DevOps Engineer. Associate level, Google Cloud. Free question with the correct answer and a full explanation.

Google Professional Cloud DevOps Engineer Question 188

Single answerGoogle Cloud Platform

Your team is adopting Infrastructure-as-Code (IaC) to manage your cloud resources in Google Cloud. You have a requirement to enforce consistency, modularity, and reusability across multiple projects while ensuring that any changes to infrastructure configurations are version-controlled. Which tool would be the best choice to meet these requirements?

  1. A

    Terraform

  2. B

    Helm

  3. C

    Cloud Foundation Toolkit

  4. D

    Config Connector

Show answer and explanation

Correct answer: A

Explanation

Terraform is the best choice because it is a widely used Infrastructure-as-Code tool that meets the requirements of consistency, modularity, reusability, and version control. While other tools like Helm, Cloud Foundation Toolkit, and Config Connector have specific use cases, Terraform provides a flexible and comprehensive solution for managing cloud infrastructure across multiple projects.

  • A. Correct.

    Terraform is highly suitable for managing Infrastructure-as-Code in a modular, reusable, and version-controlled manner. It supports multiple cloud providers, including Google Cloud, and allows you to define configurations in a consistent and repeatable way.

  • B. Incorrect.

    Helm is a tool specifically designed for managing Kubernetes application deployments via Helm charts. While powerful for Kubernetes, it is not a general-purpose IaC tool for managing cloud infrastructure.

  • C. Incorrect.

    Cloud Foundation Toolkit provides best-practice templates for Google Cloud, but it is not a standalone IaC tool. It is often used alongside tools like Terraform to standardize configurations.

  • D. Incorrect.

    Config Connector allows the management of Google Cloud resources using Kubernetes Custom Resource Definitions (CRDs). While it integrates with Kubernetes, it is not the most suitable choice for general-purpose IaC across multiple projects.

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