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1. How does FastAPI handle dependency injection, and how can you leverage it for managing application configurations?
2. Explain how FastAPI's async capabilities differ from traditional WSGI frameworks. How does FastAPI achieve non-blocking I/O?
3. How does FastAPI ensure type safety and validation in request bodies, and what are the performance implications of this approach?
4. Discuss the importance of response models in FastAPI and how they contribute to API security and performance.
5. How can you use FastAPI's middleware system to implement cross-cutting concerns such as logging, authentication, or CORS?
6. What are some best practices for optimizing performance in a FastAPI application deployed in a production environment?
7. How can you use FastAPI's dependency overrides to customize or replace dependencies in testing or specific application environments?
8. Describe how to implement custom exception handling in FastAPI. How does FastAPI's exception handling mechanism differ from traditional frameworks?
9. How does FastAPI handle background tasks, and what are some use cases where background tasks are beneficial?
10. Explain how to use FastAPI's WebSocket support for building real-time applications. What are some challenges associated with WebSocket handling?
11. How would you implement a custom middleware in FastAPI to handle rate limiting?
12. How can you efficiently manage and validate complex data structures with FastAPI and Pydantic?
13. What are dependency overrides in FastAPI, and how can you use them for testing or customization?
14. How can you implement background tasks in FastAPI, and what are some use cases?
15. How would you handle security, including authentication and authorization, in a FastAPI application?
16. How can you optimize the performance of a FastAPI application for high-traffic scenarios?
17. Can you explain the concept of dependency injection in FastAPI and how it can improve code modularity?
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