The answer is that no functions are directly available in the global namespace because `__all__` lists modules, not functions. When you execute `from mypackage import *`, Python checks the package’s `__init__.py` for the `__all__` list, and here it contains `['module_a', 'module_b']`—these are module names, so only the modules themselves are imported, not their individual functions like `func`. This tests your understanding of how `__all__` controls the `from package import *` wildcard import, a key concept in the Certified Associate Python Programmer PCAP exam that often appears as a trick question. A common trap is assuming `__all__` exposes functions directly, but it only governs what names are brought into scope at the package level. Remember the memory tip: `__all__` is a bouncer for the package door—it lets in whole modules, not their contents.
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.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
None, because __all__ lists modules, not functions
Option C is correct because when `from mypackage import *` is executed, Python looks for the `__all__` list in the package's `__init__.py` file. In this exhibit, `__all__` is defined as `['module_a', 'module_b']`, which are module names, not function names. The `import *` statement imports the modules listed in `__all__` into the global namespace, not their individual functions. Therefore, `func` from either module is not directly available; you would need to reference them as `module_a.func` or `module_b.func`.
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.
✗
Only func from module_a
Why it's wrong here
Incorrect. The modules themselves are imported, not their functions.
✗
It raises an ImportError because __all__ should contain function names
Why it's wrong here
No, __all__ can contain any names; it is perfectly valid to list modules.
✓
None, because __all__ lists modules, not functions
Why this is correct
Correct. __all__ defines what names are imported; here it imports the modules, so functions remain in the module namespace.
Related concept
Read the scenario before looking for a memorised answer.
✗
func from both module_a and module_b
Why it's wrong here
Incorrect. Only the module objects are imported, not their contents.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume `__all__` must contain function or variable names, but it can also list submodule names, and `import *` only imports those listed names—not their nested contents—into the global namespace.
Detailed technical explanation
How to think about this question
Under the hood, when `from package import *` is executed, Python checks the package's `__init__.py` for an `__all__` list. If `__all__` is defined, only those names (which can be modules, functions, or variables) are imported into the caller's namespace. If `__all__` is not defined, `import *` imports all public names (those not starting with an underscore) from the package's `__init__.py` namespace, but not submodules automatically. A subtle behavior is that if `__all__` contains module names, those modules become accessible as attributes of the package, but their contents are not unpacked into the global namespace.
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.
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: None, because __all__ lists modules, not functions — Option C is correct because when `from mypackage import *` is executed, Python looks for the `__all__` list in the package's `__init__.py` file. In this exhibit, `__all__` is defined as `['module_a', 'module_b']`, which are module names, not function names. The `import *` statement imports the modules listed in `__all__` into the global namespace, not their individual functions. Therefore, `func` from either module is not directly available; you would need to reference them as `module_a.func` or `module_b.func`.
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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These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A package 'shapes' has an __init__.py file. Which statement must be included in the __init__.py file to allow the syntax 'from shapes import *' to import all submodules 'circle', 'square', and 'triangle'?
medium
A.Set __all__ to an empty list
B.__all__ = ['circle', 'square', 'triangle'] and import each submodule
C.Import each submodule in __init__.py without defining __all__
✓ D.__all__ = ['circle', 'square', 'triangle']
Why D: Option D is correct because the `__all__` variable in `__init__.py` explicitly defines the list of submodule names that should be imported when `from shapes import *` is executed. Setting `__all__ = ['circle', 'square', 'triangle']` tells Python to import only those submodules, which is the standard mechanism for controlling wildcard imports from a package.
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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.
Question Discussion
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