Async Programming Quiz - Languages Python

Free practice quiz: Async Programming (Languages Python). 52 multiple-choice questions with answers and explanations. Play online, no sign-up needed.

Sample questions

1. Which keyword is used to define a coroutine in Python?

   1. async def
   2. def async
   3. await def
   4. def await
   Show answer

   Answer: A. async def

   The `async def` syntax is used to define a coroutine function in Python, which can be paused and resumed.

2. What is a 'Task' in asyncio?

   1. A wrapper around a coroutine that allows it to be scheduled.
   2. A separate thread for running coroutines.
   3. A mechanism for synchronous execution.
   4. A data structure for storing results.
   Show answer

   Answer: A. A wrapper around a coroutine that allows it to be scheduled.

   A Task is a subclass of Future, representing the result of executing a coroutine. It's how asyncio schedules coroutines to run concurrently.

3. What is the `asyncio` module primarily designed for?

   1. Writing concurrent code using the async/await syntax.
   2. High-performance numerical computation.
   3. Web scraping with multiple threads.
   4. Database management.
   Show answer

   Answer: A. Writing concurrent code using the async/await syntax.

   The `asyncio` module in Python is the standard library for writing single-threaded concurrent code using coroutines, multiplexing I/O access over sockets and other resources, running network clients and servers, and other related primitives.

4. Which method can be used to get the result of a completed Task without blocking the event loop?

   1. `task.result()` (if the task is done)
   2. `await task`
   3. `asyncio.get_result(task)`
   4. `task.get()`
   Show answer

   Answer: A. `task.result()` (if the task is done)

   If a Task is already done, `task.result()` will return its result immediately without blocking. If the task is not done, calling `task.result()` will raise an `InvalidStateError`. `await task` is the non-blocking way to wait for a task.

5. What is the purpose of `asyncio.gather(*coros, loop=None, return_exceptions=False)`?

   1. To run multiple coroutines concurrently and return their results in a list.
   2. To run coroutines sequentially.
   3. To return the first result and cancel others.
   4. To schedule coroutines without returning results.
   Show answer

   Answer: A. To run multiple coroutines concurrently and return their results in a list.

   `asyncio.gather` is designed to run multiple awaitables concurrently. It collects their results in the order they were passed and returns them as a list once all have completed.

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