Course Includes:
- Price: FREE
- Enrolled: 805 students
- Language: English
- Certificate: Yes
- Difficulty: Beginner
Get interview‑ready with our FastAPI practice tests tailored for Python developers. Master route management, Pydantic data validation, JWT/OAuth2 security, async programming, background tasks, middle-ware, error handling, and API docs.
Our tests include both multiple-choice questions (MCQ) and multiple-select questions (MSQ), with detailed explanations provided for every answer.
This means you won’t just practice—you’ll learn and understand the concepts behind each question.
Whether you’re a beginner looking to build your FastAPI skills or an experienced developer preparing for technical interviews, this course will provide you with the knowledge and practice you need to succeed.
Course Content Outline:
Practice Test 1: API Routing & Request Handling
Create and manage routes
Understand path and query parameters
Handle various HTTP methods (GET, POST, PUT, DELETE)
Parse request bodies using Pydantic models
Format responses and set appropriate status codes
Practice Test 2: Data Validation with Pydantic
Utilize Pydantic for data validation
Build complex nested models
Implement field validation and constraints
Manage validation errors and exceptions effectively
Practice Test 3: Authentication and Authorization
Implement JWT (JSON Web Tokens) for user authentication
Explore OAuth2 flows in FastAPI
Secure routes using dependency injection
Apply role-based access control
Follow best practices for API security
Practice Test 4: Asynchronous Programming & Background Tasks
Understand async/await syntax in FastAPI
Develop asynchronous routes
Manage background tasks for long-running processes
Integrate with async database libraries (e.g., SQLAlchemy, Tortoise ORM)
Practice Test 5: Middleware, Error Handling, and API Documentation
Create and apply middleware
Implement custom error handling
Generate OpenAPI documentation and use Swagger UI
Log and monitor API requests and responses
Master Extreme Programming techniques to write cleaner, faster, and more reliable code in Agile teams
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