Learn how to use Apigee, Memorystore for Redis, and exponential backoff to optimize API performance and improve user experience for a high-traffic ecommerce application. Prepare for the Google Professional Cloud Developer certification exam with this detailed explanation.
Table of Contents
Question
Your ecommerce application has a rapidly growing user base, and it is experiencing performance issues due to excessive requests to your backend API. Your team develops and manages this API. The Cloud SQL backend database is struggling to handle the high demand, leading to latency and timeouts. You need to implement a solution that optimizes API performance and improves user experience. What should you do?
A. Use Apigee to expose your API. Use Memorystore for Redis to cache frequently accessed data. Implement exponential backoff in the application to retry failed requests.
B. Use Apigee to expose your API. Implement rate limiting and access control policies in Apigee to control API traffic. Use Pub/Sub to queue requests to prevent database overload.
C. Use Cloud Load Balancing to expose your API. Use Cloud CDN in front of the load balancer to cache responses. Implement exponential backoff to retry failed requests.
D. Use Cloud Load Balancing to expose your API. Increase the memory for the database instances to handle more concurrent requests. Implement a custom rate-limiting mechanism in your application code to control API requests.
Answer
B. Use Apigee to expose your API. Implement rate limiting and access control policies in Apigee to control API traffic. Use Pub/Sub to queue requests to prevent database overload.
Explanation
In this scenario, the ecommerce application is experiencing performance issues due to excessive requests to the backend API, resulting in high demand on the Cloud SQL database. To optimize API performance and improve user experience, a combination of API management, rate limiting, and request queuing is needed.
Apigee is Google Cloud’s API management platform that allows you to expose, secure, and manage APIs. By using Apigee to expose the API, you gain the ability to implement rate limiting and access control policies. Rate limiting helps control the API traffic by restricting the number of requests a client can make within a specified time window. This prevents excessive requests from overwhelming the backend database. Access control policies in Apigee ensure that only authorized clients can access the API, adding an extra layer of security.
To prevent the database from being overloaded by the high volume of requests, Pub/Sub can be used to queue the requests. Pub/Sub is a fully-managed message queuing service that enables decoupling of services and asynchronous communication. By queuing the API requests in Pub/Sub, you can control the rate at which the requests are processed by the backend database. This allows the database to handle the requests at a manageable pace without getting overwhelmed.
The other options have some shortcomings:
- Option A suggests using Memorystore for Redis to cache frequently accessed data, but caching alone may not be sufficient to handle the excessive requests. Rate limiting and request queuing are still necessary.
- Option C proposes using Cloud Load Balancing and Cloud CDN, but these solutions are more suitable for handling traffic at the frontend layer rather than managing API requests at the backend.
- Option D suggests increasing the memory for the database instances and implementing a custom rate-limiting mechanism in the application code. While increasing memory can help to some extent, it may not be a scalable solution. Implementing rate limiting in the application code is possible but not as efficient and manageable as using Apigee’s built-in rate limiting policies.
Therefore, using Apigee for API management, implementing rate limiting and access control policies, and leveraging Pub/Sub for request queuing is the most effective solution to optimize API performance and improve user experience in this scenario.
Google Professional Cloud Developer certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Google Professional Cloud Developer exam and earn Google Professional Cloud Developer certification.