Graded Questions

Question 1

What is a deadlock in multithreading?

A situation where a thread is paused indefinitely.

A situation where multiple threads are waiting for each other to release a resource, causing all of them to be blocked.

A situation where threads are running too fast.

A situation where multiple threads are running in parallel.

Question 2

What is a thread-safe data structure in python?

A data structure that is only accessible by a single thread.

A data structure that is protected by a Lock.

A data structure that can only be used by daemon threads.

A data structure that is read-only.

Question 3

What is the difference between a thread and a process?

Threads share memory, processes do not.

Threads are independent, processes are not.

Threads run in separate Python interpreters, processes do not.

Processes are lightweight, threads are heavyweight.

Question 4

What is the purpose of a semaphore in multithreading?

To control the maximum number of threads that can access a resource concurrently.

To increase a thread's priority.

To synchronize the execution of all threads.

To control the execution order of threads.

Question 5

What is a daemon thread in python?

A thread that is always in a paused state.

A thread that runs in the background and exits when the main program finishes.

A thread with high priority.

A thread that is locked by the GIL.

Question 6

What is the purpose of the threading.active_count() function?

To return the number of CPU cores.

To return the number of active threads in the program.

To return the number of active processes.

To return the number of daemon threads.

Question 7

What is thread synchronization?

The process of creating multiple threads.

The process of ensuring that threads do not interfere with each other's execution.

The process of killing threads that are no longer needed.

The process of setting thread priorities.

Question 8

What is the GIL (Global Interpreter Lock) in python?

A lock that prevents multiple processes from running concurrently.

A lock that prevents multiple threads from executing python code simultaneously.

A global lock used for database access.

A global lock used for file I/O.

Question 9

Which module can be used for managing thread synchronization in python?

Threading

Synchronizer

Sync

Multithread

Question 10

How can you release a Lock in python?

Using the release() method.

Using the unlock() method.

Using the lock.release() method.

Locks are automatically released when the thread exits.

Question 11

What is the purpose of a Lock in multithreading?

To lock the thread's priority.

To lock the thread's name.

To protect a critical section from being executed by multiple threads simultaneously.

To pause a thread.

Question 12

Which of the following is true about the target argument when creating a thread with threading.Thread?

It specifies the thread's name.

It specifies the thread's priority.

It specifies the function to be executed by the thread.

It specifies the thread's ID.

Question 13

How can you set the name of a thread in python?

Using the set_name() method.

Using the name attribute.

It cannot be set.

Using the thread-name argument when creating the thread.

Question 14

What is multithreading in python?

Running multiple python processes.

Running multiple python scripts.

Running multiple threads in a single process.

Running multiple python interpreters.

Question 15

What is the primary advantage of using multithreading in python?

Improved single-core performance.

Better support for distributed computing.

Enhanced memory management.

Easier debugging

Question 16

What is the purpose of the thread.local() class in python?

To create thread-local variables.

To create global variables.

To create thread-safe variables.

To create synchronized variables.

Question 17

How can you check the number of active threads in a python program?

Using threading.active_threads() method.

Using the'threading.enumerate() method.

Using the threading.thread_count attribute.

Using the threading.active_thread_count attribute.

Question 18

What is a thread pool executor in python?

A class for managing daemon threads.

A class for managing thread priorities.

A class for managing a pool of worker threads that execute tasks asynchronously.

A class for managing thread synchronization.

Question 19

How can you set the priority of a thread in python?

Using the set_priority() method.

Using the priority' attribute.

Using the thread_priority argument when creating the thread.

Python does not provide a direct way to set thread priorities.

Question 20

What is a thread group in python?

A group of related threads.

A way to organize and manage multiple threads.

A type of thread-safe data structure.

A group of threads with the same priority.

Question 21

Which of the following is true regarding the concurrent.futures.ThreadPoolExecutor class?

It is designed for CPU-bound tasks.

It is designed for I/O-bound tasks.

. It is not part of python's standard library.

It can be used to execute functions asynchronously using processes.

Question 22

What is the purpose of the threading.Semaphore class?

To create new threads.

To create daemon threads.

To control access to a limited number of resources.

To control thread priorities.

Question 23

What is the purpose of the threading.Event class?

To create new threads.

To represent events in a multithreaded program.

To create daemon threads.

To wait for threads to finish.

Question 24

How can you terminate a thread in python?

Using the terminate() method.

Using the stop() method.

Using the exit() method.

You should avoid forcefully terminating threads as it can lead to resource leaks.

Question 25

How can you prevent deadlocks in a multithreaded program?

Use the GIL to enforce order of execution.

Ensure that all threads have the same priority.

Use proper locking and ordering of resources.

Terminate all threads after a fixed time.

Question 26

Which statement is true regarding multithreading in python?

Multithreading is ideal for CPU-bound tasks.

Multithreading is ideal for I/O-bound tasks.

Multithreading always improves performance.

Multithreading is not supported in python.

Question 27

What is the main disadvantage of using multithreading in python?

Increased program complexity.

Better utilization of multiple cores.

Improved performance.

Ease of debugging.

Question 28

What is the purpose of the concurrent.futures module in python?

To create daemon threads.

To provide high-level interfaces for asynchronously executing functions using thread pools and processes.

To control thread priorities.

To manage global variables in a multithreaded program.

Question 29

How can you make a thread wait for a signal in python?

Using the threading.wait() method.

. Using the thread.wait() method.

Using the 'threading.Condition' class.

You cannot make a thread wait for a signal in python.

Question 30

Which of the following is true regarding thread safety?

It is not important in multithreaded programs.

It ensures that a thread is always safe from race conditions.

It is automatically enforced by the GIL.

Question 31

What is the purpose of the threading.Barrier class?

To create new threads.

To create daemon threads.

To synchronize a group of threads at a specific point in their execution.

To control thread priorities.

Question 32

What is the purpose of the ThreadPoolExecutor class in the concurrent.futures module?

To create daemon threads.

To create a pool of worker threads that execute tasks concurrently.

To control thread priorities.

To synchronize threads.

Question 33

Which of the following is a way to share data between threads in python?

Using global variables

Using thread-local variables.

Using thread-safe data structures.

Using separate Python processes.

Question 34

What is a thread pool in python?

A pool of daemon threads.

A pool of synchronized threads.

A pool of worker threads that can be reused to perform tasks.

A pool of sleeping threads.

Question 35

What is the primary difference between the threading.Lock and threading.RLock classes?

Lock is used for read-only access, while RLock is used for write access.

Lock is a simple lock, while RLock is a reentrant lock.

Lock is only used for daemon threads, while RLock is used for all threads.

Lock is faster than RLock.

Question 36

Which of the following is a thread-unsafe operation?

Using a Lock to protect a critical section.

Using a Semaphore to control access to a resource.

Using a Barrier to synchronize multiple threads.

Reading and writing to a shared variable without synchronization.

Question 37

What is the purpose of the threading.Timer class in python?

To create new threads.

To create daemon threads.

To schedule a function to be run after a specified time interval.

To synchronize threads.

Question 38

What is the purpose of the concurrent.futures.ProcessPoolExecutor class?

To create daemon threads.

To create a pool of worker threads that execute tasks concurrently.

To create a pool of worker processes that execute tasks concurrently.

To control thread priorities.

Question 39

What is a race condition in multithreading?

A condition where threads are racing to finish their execution.

A condition where multiple threads access shared data concurrently, leading to unpredictable results.

A condition where multiple threads synchronize perfectly.

A condition where threads refuse to run.

Question 40

Which of the following is NOT a thread synchronization primitive in python's threading module?

Lock

Semaphore

Barrier

Event

Question 41

Which of the following is NOT true about the Global Interpreter Lock (GIL)?

It prevents multiple threads from executing python code simultaneously.

It is necessary for python to be thread-safe.

It can be a limitation in CPU-bound multithreaded programs.

It does not impact I/O-bound programs.

Question 42

Which of the following is NOT a way to synchronize threads in python?

Using Locks

Using Barriers

Using Semaphores

Using Thread.sleep()

Question 43

Which of the following is a thread-unsafe operation?

Reading from a shared variable without synchronization.

Locking a thread before accessing a shared resource.

Using a Semaphore to control access to a shared resource.

Using a Barrier to synchronize multiple threads.

Question 44

Which of the following is NOT a way to create a thread polo in python?

Using the 'concurrent.futures.ThreadPoolExecutor' class.

Using the 'threading.Pool' class.

Using the 'multiprocessing.Pool' class.

Using the 'threading.ThreadPool' class.

Question 45

How can you create a new thread in python using the threading module?

threading.create-thread(taread=my-function)

threading.thread(target=my-function)

threading.new-thread(my-function)

threading.spawn-thread(my-function)

Question 46

What is the purpose of the threading.condition class?

To create new threads.

To create daemon threads.

To represent a condition that must be met before a thread can proceed.

To control thread execution order.

Question 47

What does the join() method of a thread do?

Kills the thread.

Pauses the thread.

Blocks until the thread finishes its execution.

Resumes the thread's execution.

Question 48

What is the purpose of the threading.RLock class?

To create new threads.

To create daemon threads.

To represent a reentrant lock, allowing a thread to acquire the same lock multiple times.

To control thread priorities.

Question 49

Which module is used for creating and managing threads in python?

thread

multithreading

threading

concurrent

Question 50

How can you make a thread sleep for a specified amount of time in python?

Using the threading.sleep() method.

Using the thread.sleep() method.

Using the time.sleep() function from the 'time' module.

You cannot make a thread sleep in python.

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