FastAPI Interview Questions
Check out 29 of the most common FastAPI interview questions and take an AI-powered practice interview
What is FastAPI and what problems does it solve?
How do you define a simple FastAPI endpoint with path and query parameters?
What is Pydantic and why does FastAPI use it?
How do you return a typed response model in FastAPI?
How do you handle file uploads in FastAPI?
What's the difference between `def` and `async def` in FastAPI route handlers?
How do you read request headers in FastAPI?
What is dependency injection in FastAPI?
How do you set status codes and custom response headers?
How does FastAPI generate OpenAPI/Swagger docs automatically?
How do you serve static files in FastAPI?
What is CORS and how do you enable it in FastAPI?
How do you implement JWT authentication in FastAPI?
How do you connect FastAPI to a SQL database?
What are background tasks and when should you use them?
How do you handle exceptions globally in FastAPI?
What is the difference between `Depends()` and `Annotated[X, Depends()]`?
How do you write tests for FastAPI endpoints?
How do you implement rate limiting in FastAPI?
What is middleware in FastAPI and how is it different from dependencies?
How do you stream large responses in FastAPI?
How do you handle WebSockets in FastAPI?
What's the difference between query parameters, path parameters, and request body?
How do you validate complex query parameter combinations?
How do you optimize FastAPI for high-throughput production workloads?
How do you implement OAuth2 with multiple providers (Google, GitHub) in FastAPI?
How would you architect a FastAPI microservice for 10,000+ requests per second?
How do you implement server-sent events (SSE) for real-time updates?
How do you handle multi-tenancy in a FastAPI application?
Frequently Asked Questions
Is FastAPI better than Flask in 2026?
For new API services, almost always yes — FastAPI ships with validation, async support, OpenAPI docs, and dependency injection that you'd otherwise bolt onto Flask via flask-pydantic, flask-async, flask-restx, etc. Flask is still a good choice for non-API web apps (server-rendered HTML, simple admin tools) where these features aren't useful.
How much does a FastAPI developer earn in India?
₹8-26 LPA in 2026 for mid-to-senior backend developers with FastAPI as their primary stack. Companies hiring: Razorpay, Swiggy, Zerodha, Postman, CRED, Cure.fit. Specialised areas (FinTech, ML APIs) pay at the upper end.
What Python version should I use with FastAPI in 2026?
Python 3.12 is the current sweet spot — faster than 3.11, broad library support, type-syntax improvements (PEP 695). Python 3.13 (no-GIL experimental) is exciting for FastAPI specifically but still considered alpha for production.
How does FastAPI compare to Node.js for backend APIs?
Similar throughput for I/O-bound APIs (both async, both event-loop based). FastAPI wins on type safety and request validation out of the box. Node.js wins on raw npm ecosystem size and faster cold-start in serverless. For typical SaaS APIs in 2026, the choice is mostly team preference.
Do I need to learn Starlette before FastAPI?
No. FastAPI hides Starlette completely for most use cases. You only need to drop down to Starlette for unusual middleware, custom ASGI handling, or low-level WebSocket / SSE work — and even then, FastAPI docs walk you through it.
Introduction
FastAPI has become the default choice for modern Python web APIs in 2026. Its combination of automatic OpenAPI documentation, type-safe request handling via Pydantic, and ASGI-native async performance has made it the framework of choice for teams shipping production APIs at scale.
If you're interviewing for a FastAPI role in India today, expect deep questions on dependency injection, async patterns, Pydantic v2 validation, background tasks, and database integration. Many companies also probe knowledge of authentication flows (JWT/OAuth2) and testing strategies.
This guide covers the 30 most-asked FastAPI interview questions in 2026, grouped by difficulty. Each answer includes the underlying concept, common gotchas, and a code example where it adds clarity.