Fast API MCQs with answers Page - 14

Here, you will find a collection of MCQ questions on Fast API. Go through these questions to enhance your preparation for upcoming examinations and interviews.

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Ravina • 3.96K Points
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Q. What is the use of `Form()` in FastAPI?

  • (A) To return HTML form responses
  • (B) To receive form data in POST requests
  • (C) To validate file uploads
  • (D) To store data in memory

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Ravina • 3.96K Points
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Q. Which status code should be used when a new resource is successfully created?

  • (A) 200
  • (B) 202
  • (C) 204
  • (D) 201

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Ravina • 3.96K Points
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Q. Which object gives you access to request metadata in FastAPI?

  • (A) metadata
  • (B) Request
  • (C) HTTPHeader
  • (D) Env

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Ravina • 3.96K Points
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Q. How can you automatically document a response model in FastAPI?

  • (A) By writing docstrings
  • (B) By using JSON schemas
  • (C) By specifying response_model in route decorators
  • (D) By using response_info

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Ravina • 3.96K Points
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Q. Which HTTP method is typically used to partially update a resource?

  • (A) GET
  • (B) POST
  • (C) PATCH
  • (D) PUT

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Ravina • 3.96K Points
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Q. What type of function should be used with `await` in FastAPI?

  • (A) Blocking functions
  • (B) Non-async functions
  • (C) Asynchronous functions (coroutines)
  • (D) Static methods

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Ravina • 3.96K Points
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Q. Which statement correctly defines a FastAPI app?

  • (A) app = Application()
  • (B) app = FastApp()
  • (C) app = FastAPI()
  • (D) app = WebAPI()

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Ravina • 3.96K Points
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Q. What is `Depends()` used for in FastAPI?

  • (A) To run background tasks
  • (B) To manage asynchronous database calls
  • (C) To declare and inject dependencies
  • (D) To add new middleware

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Ravina • 3.96K Points
Extraordinary

Q. How do you specify a maximum length for a query parameter?

  • (A) Query(..., limit=100)
  • (B) Query(..., max_length=100)
  • (C) MaxLength=100
  • (D) QueryField(max=100)

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Ravina • 3.96K Points
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Q. How can FastAPI automatically convert query strings into complex objects?

  • (A) By using SQLAlchemy models
  • (B) By using JSON parsers
  • (C) By using Pydantic models
  • (D) By writing custom parsers

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