Google Professional Cloud Developer Question 302
Single answerGoogle Cloud PlatformYour team is deploying a new feature in a production environment with millions of active users. To minimize risk and ensure proper testing, you want to gradually expose the feature to a small subset of users before releasing it broadly. Which feature rollout strategy should you adopt?
- A
Canary release
- B
Blue/Green deployment
- C
Big bang release
- D
A/B testing
Show answer and explanation
Correct answer: A
Explanation
The canary release strategy is the most appropriate for gradually rolling out a feature to a small subset of users, allowing for risk mitigation and monitoring before a full deployment. This aligns with best practices for adopting feature rollout strategies in production environments.
- A. Correct.
Canary release involves deploying a new feature or version to a small subset of users first. This allows you to monitor its performance and catch issues before rolling it out to the entire user base, making it ideal for minimizing risk.
- B. Incorrect.
Blue/Green deployment focuses on switching traffic between two environments (Blue and Green) to ensure zero downtime deployment. Although useful for deployments, it does not provide gradual exposure to a subset of users.
- C. Incorrect.
Big bang release involves deploying the feature to all users at once. This approach is high-risk and does not allow for gradual rollout or testing with a smaller audience.
- D. Incorrect.
A/B testing is primarily used for comparing two versions of a feature or design to determine which performs better. It is not specifically a feature rollout strategy.