Google Professional Cloud Developer Question 338
Single answerGoogle Cloud PlatformYou are tasked with deploying a web application to Google Cloud. The source code is stored in a GitHub repository, and you need to automate the deployment process while minimizing the need for manual configuration. Which approach should you take?
- A
Use Cloud Build to create a pipeline that clones the repository, builds the application, and deploys it to Cloud Run.
- B
Manually download the source code from GitHub, build the application locally, and upload the build artifacts to a Compute Engine instance.
- C
Use Google Kubernetes Engine (GKE) and manually push the container image to the Container Registry before deploying it to the Kubernetes cluster.
- D
Use the gcloud CLI to clone the repository and deploy the application directly to App Engine Standard Environment.
Show answer and explanation
Correct answer: A
Explanation
Cloud Build is the optimal choice for deploying applications from source code in an automated and efficient manner. It integrates seamlessly with GitHub, supports building and deploying containerized applications, and works well with managed services like Cloud Run. This approach minimizes manual steps, ensuring faster and more reliable deployments.
- A. Correct.
This is the correct approach because Cloud Build provides native integration with GitHub, enabling the creation of an automated CI/CD pipeline to build and deploy the application to Cloud Run with minimal manual effort.
- B. Incorrect.
This is not the best practice as it involves manual steps, which can be error-prone and do not align with automated deployment practices required for scalability and efficiency.
- C. Incorrect.
While this approach uses GKE, it requires additional manual steps to push the container image and set up Kubernetes configurations, which is more complex than using a fully managed service like Cloud Run.
- D. Incorrect.
The gcloud CLI can deploy to App Engine, but it requires manual interaction and does not provide a fully automated pipeline for continuous integration and deployment.