How would you optimize the performance of a RESTful API that serves large datasets?
- A. Use HTTP GET for all requests
- B. Implement pagination and filtering
- C. Remove all error handling for faster processing
- D. Use a single, monolithic server
B. Implementing pagination and filtering allows clients to request only the data they need, reducing the load on the server and improving performance. Options A, C, and D are not recommended practices and can lead to performance issues.
Loading...
Related Quiz
- How can you implement WebSocket in a Flask application to enable real-time functionality?
- You are required to implement a Python loop that needs to perform an action after every iteration, regardless of whether the loop encountered a continue statement during its iteration. Which control structure would you use?
- How would you organize a group of related functions into a module?
- You are implementing a function to calculate the factorial of a number. Which Python built-in data type would be most suitable to store the result for very large numbers?
- You are given a task to parse string dates in various formats and convert them to datetime objects in Python. Which module would you use to achieve this?