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Google PCA Practice Question: Managing and Provisioning a Solution Infrastructure

A DevOps team wants to automate the deployment of infrastructure on Google Cloud using a declarative configuration language. They need to support Python and Jinja templates for reusable modules. Which service should they use?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Cloud Deployment Manager

Cloud Deployment Manager supports YAML, Python, and Jinja templates, making it the correct choice for declarative infrastructure as code. Terraform is also declarative but uses HCL, not Python/Jinja. Cloud Build is for CI/CD pipelines, not infrastructure provisioning. Config Connector is for Kubernetes-style resource management, not Python/Jinja templates.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Config Connector

    Why it's wrong here

    Config Connector manages GCP resources using Kubernetes custom resources and YAML, but does not support Python or Jinja templates.

  • Terraform on Google Cloud

    Why it's wrong here

    Terraform uses HCL, not Python or Jinja templates. While it is declarative, it does not meet the requirement for Python/Jinja support.

  • Cloud Deployment Manager

    Why this is correct

    Cloud Deployment Manager supports YAML, Python, and Jinja templates, fulfilling the requirement for declarative configuration with reusable modules.

  • Cloud Build

    Why it's wrong here

    Cloud Build is a CI/CD service for building, testing, and deploying, not for declarative infrastructure provisioning with templates.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This PCA practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCA exam.