PCAP-31-03 1.5 Create and Use User-Defined Modules and Packages PCAP-31 Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which statement best describes how a user-defined module helps with namespace separation?

   • AIt hides all names defined in the module from the importing program.
   • BIt forces the importing program to use exactly the same variable names as the module.
   • CIt places the module's names in their own namespace, avoiding collisions with names in the importing program.
   • DIt makes all module variables global to the entire program.
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2. 7foundation · easy

   What distinguishes a nested package from a plain directory tree in Python?

   • AA nested package contains at least one `__init__.py` file in each subdirectory that is part of the package.
   • BA nested package must be stored in the `site-packages` directory.
   • CA nested package can only contain modules, not subpackages.
   • DA nested package requires a `setup.py` file.
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4. 8foundation · easy

   What is the primary role of the `__init__.py` file in a Python package?

   • AIt is only used for documentation and has no effect on imports.
   • BIt marks the directory as a Python package and can initialize the package.
   • CIt contains the compiled bytecode for the package.
   • DIt is required to contain all the functions of the package.
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5. 9application · easy

   A small team has several scripts that each contain the same function `validate_email()`. The function is used in `signup.py`, `login.py`, and `admin.py`. The team wants to reduce duplication and make future updates easier. What is the most appropriate action?

   • ARename the function to `_validate_email` in each script.
   • BPlace the function in the `__pycache__` directory.
   • CCreate a module `validation.py` containing the function and import it in each script.
   • DCopy the function into each script and keep them in sync manually.
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6. 10application · medium

   A module `logger.py` contains the following code: ```python def log(message): print(f"LOG: {message}") print("Logger module loaded") ``` When another script imports `logger`, the message "Logger module loaded" is printed. The developer wants this message to appear ONLY when `logger.py` is run directly, not when it is imported. What change should be made?

   • ADelete the `__pycache__` directory
   • BWrap the `print` statement in `if __name__ == '__main__':`
   • CRename the `log` function to `_log`
   • DMove the `print` statement into the `log` function
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