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Answer: 1. Store the application and infrastructure source code in a Git repository. 2. Use Cloud Build to deploy the application infrastructure with Terraform. 3. Deploy the application to a Cloud Function as a pipeline step.

The question outlines three key requirements for the application's architecture: versioned and auditable infrastructure changes, preference for Google-managed services, and deployment on a serverless compute platform. Option A is the best fit as it uses Terraform for infrastructure as code (versioned and auditable), Cloud Build for CI/CD (Google-managed), and Cloud Functions for serverless compute. Option B introduces Jenkins, which is not a Google-managed service, and App Engine, while serverless, doesn't align as well with the infrastructure versioning requirement. Option C's use of Compute Engine violates the serverless requirement. Option D's use of gcloud commands for infrastructure deployment is less ideal for versioning and auditing compared to Terraform, despite using Cloud Run, a serverless platform. Therefore, Option A is the correct choice.

Author: LeetQuiz Editorial Team

Quick Answer

Answer-first summary for fast verification

Author: LeetQuiz Editorial Team

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You are designing a new application with the following requirements:

Infrastructure creation and modifications must be versioned and auditable.

The application and deployment infrastructure should primarily use Google-managed services.

The application must run on a serverless compute platform.

What is the recommended architecture for this application?

Exam-Like

Store the application and infrastructure source code in a Git repository. 2. Use Cloud Build to deploy the application infrastructure with Terraform. 3. Deploy the application to a Cloud Function as a pipeline step.

67.4%

Deploy Jenkins from the Google Cloud Marketplace, and define a continuous integration pipeline in Jenkins. 2. Configure a pipeline step to pull the application source code from a Git repository. 3. Deploy the application source code to App Engine as a pipeline step.

4.3%

Create a continuous integration pipeline on Cloud Build, and configure the pipeline to deploy the application infrastructure using Deployment Manager templates. 2. Configure a pipeline step to create a container with the latest application source code. 3. Deploy the container to a Compute Engine instance as a pipeline step.

8.7%

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Deploy the application infrastructure using gcloud commands. 2. Use Cloud Build to define a continuous integration pipeline for changes to the application source code. 3. Configure a pipeline step to pull the application source code from a Git repository, and create a containerized application. 4. Deploy the new container on Cloud Run as a pipeline step.