FastAPI With Databases

Quiz on integrating FastAPI with SQLAlchemy and async database operations.

1. FastAPI natively supports which type of database operations for better performance with async endpoints?
2. Which dependency pattern is commonly used in FastAPI to manage database sessions and ensure they close after requests?
3. What is the recommended way to define database models when using SQLAlchemy with FastAPI?
4. Which Pydantic model type is used to validate incoming data (e.g., from POST requests) before saving to a database in FastAPI?
5. Which async database driver is commonly used with PostgreSQL and SQLAlchemy in FastAPI?
6. Which of the following are benefits of using an ORM like SQLAlchemy with FastAPI?
7. Which components are typically included in a database URL for connecting FastAPI to a database?
8. Which HTTP methods are used in FastAPI endpoints to perform CRUD operations on a database?
9. What are advantages of using async database operations in FastAPI?
10. FastAPI can only interact with SQL databases and not NoSQL databases like MongoDB.
11. Pydantic models in FastAPI validate incoming data before it is converted to database model instances.
12. Developers must manually close database sessions in FastAPI after each request to prevent connection leaks.
13. What is the name of the tool commonly used with SQLAlchemy and FastAPI to manage database schema migrations?
14. What decorator is used in FastAPI to define an endpoint that creates a new record in a database (e.g., POST request)?
15. In the context of FastAPI and databases, what does the acronym 'CRUD' stand for?
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