FastAPI Interview Questions

Check out 30 of the most common FastAPI interview questions and take an AI-powered practice interview

PythonPydanticasync/awaitOpenAPIType Hints
30+
Questions
12
Basic
13
Intermediate
5
Advanced
Q1

What is FastAPI and its architecture?

BasicFundamentals
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Q2

How do you create a basic server in FastAPI?

BasicServer Setup
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Q3

What is middleware in FastAPI?

BasicMiddleware
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Q4

How do you handle HTTP requests in FastAPI?

BasicHTTP
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Q5

What is routing in FastAPI?

BasicRouting
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Q6

How do you handle request/response in FastAPI?

BasicRequest/Response
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Q7

What are controllers in FastAPI?

BasicControllers
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Q8

How do you work with templates/views in FastAPI?

BasicViews & Templates
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Q9

What is RESTful API design in FastAPI?

BasicREST API
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Q10

How do you handle static files in FastAPI?

BasicStatic Files
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Q11

What are environment variables in FastAPI?

BasicConfiguration
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Q12

How do you structure a FastAPI application?

BasicArchitecture
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Q13

How do you implement authentication in FastAPI?

IntermediateAuthentication
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Q14

What is database integration in FastAPI?

IntermediateDatabase Integration
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Q15

How do you handle file uploads in FastAPI?

IntermediateFile Uploads
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Q16

What is caching strategy in FastAPI?

IntermediateCaching
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Q17

How do you implement websockets in FastAPI?

IntermediateWebSockets
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Q18

What is error handling middleware in FastAPI?

IntermediateError Handling
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Q19

How do you implement pagination in FastAPI?

IntermediatePagination
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Q20

What is session management in FastAPI?

IntermediateSessions
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Q21

How do you handle CORS in FastAPI?

IntermediateCORS
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Q22

What is input validation in FastAPI?

IntermediateValidation
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Q23

How do you implement rate limiting in FastAPI?

IntermediateRate Limiting
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Q24

What is logging and monitoring in FastAPI?

IntermediateLogging
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Q25

How do you handle background jobs in FastAPI?

IntermediateBackground Jobs
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Q26

How do you implement microservices with FastAPI?

AdvancedMicroservices
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Q27

What are scaling strategies for FastAPI?

AdvancedScaling
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Q28

How do you implement event-driven architecture in FastAPI?

AdvancedEvent Handling
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Q29

What is distributed tracing in FastAPI?

AdvancedDistributed Tracing
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Q30

How do you handle distributed transactions in FastAPI?

AdvancedDistributed Systems
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Companies Hiring FastAPI

Google
Amazon
Microsoft
Meta
Netflix
Uber
PayPal
LinkedIn
Spotify
Airbnb

Salary Insights

Average in India
₹7-24 LPA

Frequently Asked Questions

What is FastAPI used for?

FastAPI is widely used for creating server-side applications, APIs, and microservices. It's valued for its performance, reliability, and extensive ecosystem.

How long does it take to learn FastAPI?

Learning FastAPI basics typically takes 1-3 months of dedicated study. Achieving proficiency requires 6-12 months of practice and real-world projects. Mastery comes with years of experience and continuous learning.

What are the job prospects for FastAPI developers?

FastAPI developers are in high demand across industries. With strong FastAPI skills, you can pursue roles in backend development, API development, DevOps, with competitive salaries ranging from ₹7-24 LPA.

What prerequisites are needed for learning FastAPI?

Programming basics and understanding of web architecture are helpful prerequisites for learning FastAPI.

Which companies use FastAPI?

Major companies using FastAPI include Google, Amazon, Microsoft, Meta, Netflix, and many more. FastAPI is adopted across startups to enterprise organizations.

Introduction

Ready to ace your FastAPI backend developer interview? FastAPI powers server-side applications for countless companies worldwide.

FastAPI is crucial for building scalable APIs, microservices, and server applications. This guide covers everything from basic concepts to advanced architectural patterns.

We'll explore commonly asked FastAPI interview questions about request handling, database integration, authentication, performance optimization, and deployment strategies.

Master these questions to demonstrate your ability to build robust, secure, and efficient backend systems.