Python Threading MCQ: Python Threading Multiple Choice Questions

Python Threading MCQ  with answers and explanations for placement tests and job interviews. These solved Python Threading MCQ are useful for the campus placement for all freshers including Engineering Students, MCA students, Computer and IT Engineers, etc.

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Guideline of Python MultiThreading MCQ:

This Python Threading MCQ is intended for checking your Python knowledge. It takes 30 minutes to pass the Python Threading Quiz. If you don’t finish the Python Threading MCQ within the mentioned time, all the unanswered questions will count as wrong. You can miss the questions by clicking the “Next” button and return to the previous questions by the “Previous” button. Every unanswered question will count as wrong. MCQ on Python Threading has features of randomization which feel you a new question set at every attempt.

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Python Multithreading MCQ

Python Multithreading MCQ: Python Multithreading Multiple Choice Questions and Answers

1 / 23

Race conditions are …

Testing which thread completes first

The weather on race day

Two threads incorrectly accessing a shared resource

Something you should add to your code

2 / 23

What is the difference between a semaphore and bounded semaphore?

A bounded semaphore makes sure its current value doesn’t exceed its initial value while semaphore doesn't.

A semaphore makes sure its current value doesn’t exceed its initial value while bounded semaphore doesn't.

Bounded semaphore holds a counter for the number of release() calls minus the number of acquire() calls, plus an initial value but semaphore doesn't.

None of these

3 / 23

Which statements are true for RLock objects?

If a thread already owns the lock, acquire() will increment the recursion level by one, and return immediately.

If a thread already owns the lock, acquire() will block until the lock is unlocked.

If another thread owns the lock, acquire() will block until the lock is unlocked.

If another thread owns the lock, acquire() will increment the recursion level by one, and return immediately.

Check

4 / 23

True or False? Once you start a threading.Timer, you cannot stop it until it expires.

False

True

5 / 23

Which modules support the usage of threads in Python?

threading

__threading

None of these

6 / 23

What is the difference between Lock and RLock

Another difference is that an acquired Lock can be released by any thread, while an acquired RLock can only be released by the thread which acquired it.

Lock can only be acquired once. It cannot be acquired again, until it is released.An RLock can be acquired multiple times, by the same thread. It needs to be released the same number of times in order to be "unlocked".

None of these

Check

7 / 23

How does global value mutation used for thread-safety?

via Mutex

via Locking

via GIL (Global Interpreter Lock)

None of these

8 / 23

What does a threading.Lock do?

Wait until a thread is finished

SHIFT TO ALL CAPS

Synchronize threads

Pass messages between threads

Allow only one thread at a time to access a resource

Check

9 / 23

What is the method that wakes up all thread waiting for the condition?

notifyAll()

release()

releaseAll()

notify()

10 / 23

What are the states/features supported by a RLock object?

Locked

Unlocked

Owning thread

Recursion level

Check

11 / 23

How does run() method is invoked?

Thread.start()

By Thread.run()

By Thread.create()

None of these

12 / 23

How to detect the status of a python thread?

isActive()

isDaemon()

isAlive()

None of these

13 / 23

Which synchronization method is used to guard the resources with limited capacity?

Condition

Semaphore

Event

None of these

14 / 23

How many CPUs (or cores) will the Python threading library take advantage of simultaneously?

one

two

None

All of the available CPUs

Python threading is restricted to a single CPU at one time. The multiprocessing library will allow you to run code on different processors.

Python threading is restricted to a single CPU at one time. The multiprocessing library will allow you to run code on different processors.

15 / 23

Why is it a good idea to use a ThreadPoolExecutor as a context manager when you can?

It passes exceptions back to the main program

It looks better

It manages the start up of all threads and waits for them all to complete

It prevents the threads from having race conditions

16 / 23

What is the exception raised for an error that does not fall in any of the categories?

ReferenceError

RuntimeError

SystemError

LookupError

17 / 23

How to terminate a blocking thread?

thread.stop()

thread.stop() & thread.wait()

thread.terminate()

None of these

18 / 23

Which one is reentrant lock type?

Semaphore

Lock

RLock

None of these

19 / 23

Which thread method is used to wait until it terminates?

waitforthread()

join()

wait()

None of these

20 / 23

What are the states/features supported by a Lock object?

Recursion level

Locked

Unlocked

Owning thread

Check

21 / 23

What is the method to retrieve the list of all active threads?

getThreads()

threads()

getList()

enumerate()

22 / 23

Which method is used to identify a thread?

getThread()

getName()

get_ident()

None

23 / 23

What does the Thread.join() method do?

Merges two threads into one

Adds the thread to a pool

Restricts access to a resource

Waits for the thread to finish

The .join() method allows one thread to wait for a second thread to complete. It is done automatically for you when you use a ThreadPoolExecutor as a context manager (a with statement).

The .join() method allows one thread to wait for a second thread to complete. It is done automatically for you when you use a ThreadPoolExecutor as a context manager (a with statement).

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