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You are managing an application on Google App Engine that's currently handling production traffic. A critical yet potentially disruptive update needs to be deployed. Given that the update's effectiveness can only be verified through live user interactions, what is the most efficient method to test this new feature?
You are managing an application on Google App Engine that's currently handling production traffic. A critical yet potentially disruptive update needs to be deployed. Given that the update's effectiveness can only be verified through live user interactions, what is the most efficient method to test this new feature?
Real Exam
Explanation:
The correct approach is D because deploying a new version without making it the default prevents any service interruption. Traffic splitting enables the redirection of a small portion of traffic to the new version, allowing for real-world testing without significant risk. This method also facilitates quick reversion if issues arise, ensuring minimal impact on users.
- Option A is incorrect as deploying the new version as the default would shift all traffic to it, potentially affecting all users and risking service downtime.
- Option B is not ideal because setting up a separate project necessitates additional steps like data synchronization and external traffic management, which are unnecessary with App Engine's built-in capabilities.
- Option C is unsuitable because App Engine services are designed for distinct functionalities. Using separate services would require manual adjustments from the clients' side to manage access, complicating the deployment process.