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Flask-RESTful quiz

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What kind of application is Flask-RESTful generally well suited for, compared to a heavier full-stack framework like Django REST Framework?

Questions in this quiz
  1. What kind of application is Flask-RESTful generally well suited for, compared to a heavier full-stack framework like Django REST Framework?
  2. What is Flask-RESTful?
  3. Why might a resource's `get()` method for a single item raise a 404 error when the requested ID doesn't exist in the database, rather than returning an empty or null response with a 200 status?
  4. What is the purpose of custom exception classes combined with Flask-RESTful's error handling (e.g. registering handlers via `errors` dict on the `Api` object)?
  5. Why is validating and parsing request arguments at the top of a resource method (via reqparse) generally preferable to accessing `request.json` or `request.args` directly and manually checking each field throughout the method body?
  6. What does Flask-RESTful's support for content negotiation (via `representations`) allow an API to do?
  7. How does Flask-RESTful typically handle serializing a Python object (like a database model) into a JSON response?
  8. What consideration should a team weigh before choosing Flask-RESTful for a brand-new greenfield API project in the current Python ecosystem?
  9. How is a Flask-RESTful Resource registered to a specific URL route?
  10. What is a Flask-RESTful "Resource" class, e.g. `class UserResource(Resource): ...`?
  11. Why might a resource method return a tuple like `return user_data, 201` instead of just `return user_data`?
  12. What is a common reason a team building a REST API in Python today might choose FastAPI over Flask-RESTful for a new project?
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