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Fastapi Interview Questions

8 real Fastapi questions asked in live technical interviews — each with a model answer. Updated weekly.

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How would you implement a FastAPI endpoint that accepts query parameters for department, min_salary, and sort_by, validates them with Pydantic, and returns a filtered and sorted list of employees?🟡 Medium · Coding · Asked 1×How would you implement a FastAPI endpoint that uses query parameters for department, min_salary, and sort_by, validated via Pydantic?🟡 Medium · Coding · Asked 1×How would you implement a FastAPI endpoint with employee_id as a path parameter and status, limit, offset as query parameters, all validated by Pydantic?🟡 Medium · Coding · Asked 1×Can you describe your experience with error detection and automatic recovery in FastAPI services, and how you have used Langgraph or similar tools to design LLM‑powered workflows, including prompt engineering techniques?🟡 Medium · Conceptual · Asked 1×You discussed comprehensive error handling and monitoring strategies in your FastAPI services. Can you share an example where these measures helped you quickly detect and resolve an issue?🟡 Medium · Behavioral · Asked 1×You explained your modular, layered architecture with service and repository layers for scalability. How did you ensure that your FastAPI services handle error management and maintain data integrity?🟡 Medium · Conceptual · Asked 1×You mentioned using async programming, cloud services, and caching to optimize API performance. Can you explain how you structured your FastAPI application to handle scalability and maintainability across features?🟡 Medium · Conceptual · Asked 1×You shared a detailed approach to data quality monitoring using Great Expectations and CloudWatch. Describe your experience building backend services with Python and FastAPI, specifically how you have designed and optimized APIs to handle business logic efficiently.🟡 Medium · Conceptual · Asked 1×

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