Asyncio Quiz

What is a coroutine in Python asyncio?

• A type of multi-threading function

• A function that can pause and resume its execution

• A module used for handling HTTP requests

• A data type similar to lists and dictionaries

Which keyword is used to define a coroutine in Python asyncio?

• `thread`

• `async`

• `yield`

• `parallel`

What does the `await` keyword do in Python asyncio?

• It stops the execution of the program

• It makes a function run asynchronously

• It pauses the coroutine until the awaited task completes

• It creates a new thread

Which of the following is true about asyncio tasks?

• Tasks are used to run coroutines concurrently

• Tasks can only run synchronously

• Tasks are not cancellable

• Each task runs in a separate operating system thread

How do you create a task in asyncio to manage a coroutine?

• `asyncio.create_task(coroutine)`

• `asyncio.run(coroutine)`

• `asyncio.wait(coroutine)`

• `asyncio.gather(coroutine)`

What is the purpose of `asyncio.gather()`?

• To cancel all running tasks

• To run multiple coroutines sequentially

• To run multiple coroutines concurrently and wait for all to complete

• To create a new event loop

What happens if an `await` statement is used outside of an `async` function?

• It raises a SyntaxError

• It executes synchronously

• It is ignored by Python interpreter

• It converts the function to asynchronous automatically

Which of the following is a feature of asyncio that improves performance?

• CPU-bound task execution

• Automatic multi-threading

• Non-blocking I/O operations

• Increased use of synchronous functions

What type of applications benefit the most from asyncio?

• CPU-intensive applications

• I/O-bound and high-level structured network code

• Simple computational tasks with few I/O operations

• Applications requiring constant user interaction

In asyncio, what is the role of an event loop?

• To manage the distribution of tasks across multiple CPUs

• To handle the execution of asynchronous tasks and callbacks

• To provide a graphical user interface for debugging

• To compile Python code into machine language