PCPP2 Interprocess Communication Practice Question
What is the primary reason to use the multiprocessing module instead of the threading module for CPU-bound tasks in Python?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Multiprocessing bypasses the Global Interpreter Lock (GIL).
Because of the Global Interpreter Lock (GIL), multiple threads cannot execute Python bytecode simultaneously on multiple cores.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Threading cannot handle files.
Why it's wrong here
Threading handles files perfectly fine.
- ✗
Multiprocessing is faster for I/O.
Why it's wrong here
Multiprocessing is generally slower for I/O due to IPC overhead.
- ✗
Threading does not support locks.
Why it's wrong here
Threading supports locks.
- ✓
Multiprocessing bypasses the Global Interpreter Lock (GIL).
Why this is correct
Each process has its own Python interpreter and its own GIL.
- ✗
Threading is deprecated.
Why it's wrong here
Threading is not deprecated.
About these practice questions
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Python Institute exam blueprint
This PCPP2 practice question is part of Courseiva's free Python Institute certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCPP2 exam.