Google Professional Cloud DevOps Engineer Question 206
Select 3Google Cloud PlatformYour team is deploying a new application to Google Kubernetes Engine (GKE) using a CI/CD pipeline. The application requires automated testing, image building, and deployment to staging and production environments. You want to ensure that deployments to production minimize downtime while being properly validated. Which steps should you include in your CI/CD pipeline design to meet these requirements?
- A
Implement Canary deployments for production to gradually release changes and monitor for issues.
- B
Use a single staging and production cluster with different namespaces to reduce infrastructure complexity.
- C
Integrate automated unit, integration, and end-to-end tests into the CI/CD pipeline.
- D
Manually trigger deployments to production to ensure human oversight before release.
- E
Use Google Cloud Build to automate container image builds and push them to Container Registry.
Show answer and explanation
Correct answers: A, C, E
Explanation
A robust CI/CD pipeline should include automated testing to validate code changes, automated image building and deployment to streamline the process, and deployment strategies like Canary to minimize downtime and risks in production. Using a single cluster for staging and production or relying on manual production triggers is not recommended as they introduce risks and inefficiencies.
- A. Correct.
Canary deployments allow you to release changes incrementally, reducing risk and downtime while providing an opportunity to monitor for issues in production. This is a best practice for minimizing downtime.
- B. Incorrect.
Using the same cluster for staging and production can lead to potential conflicts and security risks. It is a better practice to separate staging and production environments to ensure isolation and reliability.
- C. Correct.
Automated testing, such as unit, integration, and end-to-end tests, ensures that code changes are validated before deployment, reducing the risk of introducing bugs.
- D. Incorrect.
Manually triggering production deployments slows down the CI/CD process and introduces the possibility of human error. Automated deployments are preferred for consistency and reliability.
- E. Correct.
Google Cloud Build is a powerful tool for automating container image builds and pushing them to Container Registry, which is a key step in the CI/CD pipeline.