- A
It is only created when the script is compiled with -O.
Why wrong: __pycache__ is created regardless of optimization flag.
- B
It is automatically created when a module is imported.
Python creates __pycache__ on first import.
- C
It improves startup time for subsequent runs.
Cached bytecode avoids recompilation.
- D
It stores compiled bytecode files (.pyc).
Bytecode is stored in .pyc files.
- E
It should be added to version control.
Why wrong: Bytecode is platform-specific and should be ignored.
Quick Answer
The correct answer is that the __pycache__ directory stores compiled bytecode files (.pyc). Python creates this directory automatically the first time a module is imported, caching the compiled bytecode so that on subsequent imports the interpreter can skip the recompilation step, which significantly improves startup time for later runs. On the Certified Associate Python Programmer PCAP exam, this concept tests your understanding of Python’s import system and module caching mechanism—a common trap is confusing __pycache__ with the __init__.py file or thinking it stores source code. Remember that the “pyc” in .pyc stands for “Python compiled,” and the cache is purely an optimization, not a requirement for execution. A handy memory tip: think of “pycache” as “Python’s speed cache”—it’s the interpreter’s shortcut to avoid recompiling unchanged modules.
PCAP Modules and Packages Practice Question
This PCAP practice question tests your understanding of modules and packages. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which THREE of the following are true about the __pycache__ directory?
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
It is automatically created when a module is imported.
Option B is correct because Python automatically creates the __pycache__ directory when a module is imported for the first time. This directory stores compiled bytecode files (.pyc) that allow Python to skip recompilation on subsequent imports, thereby improving startup time for later runs.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
It is only created when the script is compiled with -O.
Why it's wrong here
__pycache__ is created regardless of optimization flag.
- ✓
It is automatically created when a module is imported.
Why this is correct
Python creates __pycache__ on first import.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
It improves startup time for subsequent runs.
Why this is correct
Cached bytecode avoids recompilation.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
It stores compiled bytecode files (.pyc).
Why this is correct
Bytecode is stored in .pyc files.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
It should be added to version control.
Why it's wrong here
Bytecode is platform-specific and should be ignored.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Python Institute often tests the misconception that __pycache__ is only created with -O or that it should be version-controlled, when in fact it is automatically generated on import and is meant to be excluded from version control.
Detailed technical explanation
How to think about this question
When a module is imported, Python's import system checks for a corresponding .pyc file in __pycache__ with a matching magic number and timestamp; if found, it loads the bytecode directly, bypassing the parser and compiler. The directory name includes the Python version (e.g., __pycache__/module.cpython-312.pyc) to prevent conflicts between different interpreter versions. In real-world deployments, ignoring __pycache__ in version control avoids unnecessary merge conflicts and repository bloat.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this PCAP question test?
Modules and Packages — This question tests Modules and Packages — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: It is automatically created when a module is imported. — Option B is correct because Python automatically creates the __pycache__ directory when a module is imported for the first time. This directory stores compiled bytecode files (.pyc) that allow Python to skip recompilation on subsequent imports, thereby improving startup time for later runs.
What should I do if I get this PCAP question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 30, 2026
This PCAP 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 PCAP exam.
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