POC Concurrency & Multithreading 2

Question 1

Which class in the `concurrent.futures` module is best suited for thread-based parallelism?

Accepted Answer

ThreadPoolExecutor

Answer

ThreadPoolExecutor manages a pool of worker threads and provides a high-level interface for submitting tasks and retrieving results via Future objects.

Question 2

What is the primary purpose of a threading.Lock object in Python?

Accepted Answer

To synchronize access to shared resources, preventing simultaneous modification by multiple threads

Answer

A Lock ensures mutual exclusion — only one thread can acquire the lock at a time, preventing race conditions on shared data.

Question 3

In Python's asyncio framework, which keyword suspends a coroutine until an awaitable completes?

Accepted Answer

await

Answer

The `await` keyword suspends the current coroutine and yields control back to the event loop, which resumes it when the awaitable is done.

Question 4

What is a deadlock in a multithreaded Python program?

Accepted Answer

A situation where two or more threads wait indefinitely for locks held by each other

Answer

Deadlock occurs when Thread A holds Lock 1 and waits for Lock 2, while Thread B holds Lock 2 and waits for Lock 1 — both block forever.

Question 5

Which method of threading.Thread should you override in a subclass to define the thread's work?

Accepted Answer

run()

Answer

Overriding run() defines the code executed in the new thread; start() internally calls run() in a new thread context.

(POC) Python Online Certification Practice Test

(POC) Python Online Certification Practice Test

POC Concurrency & Multithreading 2