REST API Development using FastAPI Practice Exam

REST API Development using FastAPI Practice Exam

REST API Development using FastAPI is about building tools that let different apps or systems talk to each other over the internet. A REST API is like a messenger that carries information between programs—such as a website asking for product details from a server. FastAPI is a modern tool that helps developers build these APIs quickly, with less code and better performance.

FastAPI makes it easy to create APIs that are fast, secure, and easy to understand. Developers can define how information should be sent and received, and the system handles the rest. It’s especially useful for building modern web or mobile apps that need to send and receive data in real time.

Who should take the Exam?

This exam is ideal for:

• Backend developers 

• API developers 

• Full-stack developers 

• Software engineers 

• DevOps engineers 

• Students and professionals learning modern Python frameworks

• Data engineers 

• Tech entrepreneurs developing MVPs or SaaS APIs

Skills Required

• Basic knowledge of Python programming
• Familiarity with HTTP and web development concepts
• Understanding of RESTful architecture
• Comfort with data formats like JSON
• Exposure to asynchronous programming is helpful

Knowledge Gained

• Building REST APIs with FastAPI from scratch
• Handling requests, responses, and query parameters
• Structuring API projects for scalability
• Using Pydantic for data validation and serialization
• Implementing authentication and security in APIs
• Testing and documenting APIs with built-in tools
• Deploying FastAPI apps using modern DevOps tools
• Integrating databases and background tasks

Course Outline

The REST API Development using FastAPI Exam covers the following topics - 

1.    Introduction to RESTful APIs

• What is REST?
• HTTP methods and status codes
• API design best practices

2.    Getting Started with FastAPI

• Installing FastAPI and Uvicorn
• Creating a basic FastAPI application
• Running and debugging your first endpoint

3.    Request Handling in FastAPI

• Path and query parameters
• Request bodies with Pydantic
• Form and file uploads

4.    Response Management

• Response models and type hints
• Custom headers and status codes
• Handling errors gracefully

5.    Validation and Serialization with Pydantic

• Pydantic models overview
• Field validation and default values
• Nested and optional data structures

6.    Asynchronous Programming

• Async/await in FastAPI
• Using async database libraries
• Concurrency patterns and performance benefits

7.    Authentication and Security

• OAuth2 and JWT token handling
• Password hashing and user auth
• Role-based access control

8.    Database Integration

• Connecting FastAPI with SQL (SQLAlchemy, Tortoise ORM)
• CRUD operations using ORM
• Async database interactions

9.    Middleware and Background Tasks

• Creating and using middleware
• Background task execution
• Dependency injection and lifecycle events

10.    Testing and Debugging APIs

• Unit testing with Pytest
• Test clients and mock data
• Debugging tools and strategies

11.    API Documentation and OpenAPI

• Auto-generated docs with Swagger UI
• ReDoc for alternative documentation
• Customizing API docs

12.    Deployment and DevOps

• Serving with Gunicorn and Uvicorn
• Dockerizing FastAPI applications
• CI/CD pipelines for FastAPI projects