Exam Professional Cloud Developer topic 1 question 114 discussion

A is the correct choice. B - use Jenkins as the deployment tool instead of Cloud Build (The application and deployment infrastructure uses Google-managed services as much as possible). C - uses Compute Engine to run containers. CE is not serverless. D - we can't version gcloud commands

Option D is the best fit for designing the architecture of the new application as it satisfies all the design requirements of versioning and auditing the infrastructure changes, using Google-managed services and deploying the application on a serverless compute platform. The approach includes: - Deploy the application infrastructure using gcloud commands. - Use Cloud Build to define a continuous integration pipeline for changes to the application source code. - Configure a pipeline step to pull the application source code from a Git repository, and create a containerized application. - Deploy the new container on Cloud Run as a pipeline step. It's worth noting that all options could potentially satisfy the requirements, as long as they use Google-managed services and track infrastructure creation and changes, the choice of different services, platform and tools depend on the specific requirements of your application and development preferences.

D. 1. 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. Versioned and Auditable Infrastructure: While Terraform (option A) is a great choice for infrastructure as code, using gcloud commands directly allows for version control and auditing through your Git repository. This ensures a clear history of infrastructure changes. Google-Managed Services: Cloud Build, Cloud Run, and Git repositories are all Google-managed services, fulfilling the requirement for using Google-managed services as much as possible. Serverless Compute: Cloud Run is a serverless platform that perfectly fits the requirement for a serverless compute environment.

Correct answer D based on the requirements

I agree with omermahgoub.

D would be true if & only it didn't mention using gcloud commands to deploy application infrastructure

I vote D: - gcloud, Cloud Build, Cloud Run - are Google-managed services - Cloud Run has revisions (=versions) - Cloud Run is serverless A is wrong, as Cloud Functions are intended for single-purpose functions - not an entire app.

A is correct

My answer is A: Version and auditable: GIT GCP managed deployment infrastructure: Cloud build, Cloud Deployment Manager, Terraform Serverless: Cloud Functions

It is definitely A vs. B, though. I still think the deciding factor is "Creation and changes to the application infrastructure are versioned and auditable". Whether to deploy to Cloud Run or Cloud Functions is irrelevant because we don't know the contents of the application. Both are serverless.

What put me off A is that at the end there is deploy to ` Cloud Function` and it should be all serverless applications and not just a cloud function, that is what Cloud Run should do.

A is the answer.

Ans A https://cloud.google.com/docs/ci-cd/products#featured-products-for-cicd

D is correct, applications should not be deployed on cloud functions.

A is correct

B and C are not correct (we cant use jenkins in option B, and cant use compute engine as it is not serverless in option C) So in A and D option - option A is not right becoz we can deploy on cloud function not suitable as serverless compute So i think Answer is D

Vote A