PCAP Practice Test 2 — 10 Questions

Question 1

What is the output of the following code?

try:
    exec('1/0')
except:
    print('error')
else:
    print('no error')
finally:
    print('done')

Accepted Answer

error done. The `exec('1/0')` raises a `ZeroDivisionError`, which is caught by the bare `except:` clause, printing 'error'. The `else` clause is skipped because an exception occurred, but the `finally` clause always executes, printing 'done'. Thus the output is 'error' followed by 'done'.

Answer

done error

Answer

error

Answer

done

Question 2

Consider the code fragment: 
    f = open('data.txt', 'r')
    data = f.read()
    process_data(data)
    f.close()
What is the primary risk if an exception occurs during process_data(data)?

Accepted Answer

The file descriptor may be leaked because the close() call is skipped.. If `process_data(data)` raises an exception, the `f.close()` statement is never executed, leaving the file descriptor open. This is a resource leak that can exhaust system file handles, especially in long-running applications. Python's `with` statement is the recommended approach to guarantee automatic cleanup even when exceptions occur.

Answer

The exception will be silently suppressed.

Answer

The file will be automatically closed by Python's garbage collector immediately.

Answer

The file contents will be corrupted.

Question 3

Which THREE of the following statements about Python's module search path are true?

Accepted Answer

The PYTHONPATH environment variable can be used to add custom directories to sys.path.. The PYTHONPATH environment variable is a standard mechanism for extending Python's module search path. When Python starts, it reads the PYTHONPATH variable and prepends its contents to sys.path, allowing users to specify additional directories where Python should look for modules before falling back to the default search order.

Answer

The site-packages directory is searched before the PYTHONPATH directories.

Answer

The current working directory is always the last entry in sys.path.

Question 4

You are designing a class that should behave like a sequence and support slicing. Which special methods must be implemented?

Accepted Answer

__getitem__ and __len__. For a class to support slicing in Python, it must implement both `__getitem__` (to handle indexing and slice objects) and `__len__` (to define the sequence length, which is required for proper slice boundary handling). Together, these satisfy the sequence protocol, enabling Python's slicing syntax like `obj[start:stop:step]`.

Answer

__len__ and __contains__

Answer

__iter__ and __next__

Answer

__getitem__ alone

Answer

__getitem__ and __setitem__

Question 5

Which of the following statements about the __init__.py file in a package is true?

Accepted Answer

It is required for a directory to be considered a regular package. In Python, a directory containing an `__init__.py` file is recognized as a regular package. This file can be empty or contain initialization code, and its presence is required for the directory to be imported as a package (as opposed to a namespace package). Without it, Python will not treat the directory as a regular package.

Answer

It is required for a namespace package

Answer

It cannot contain executable code

Answer

It is automatically generated by Python

Question 6

A developer is working on a class hierarchy for geometric shapes. They have a base class Shape with an abstract method area(). They also have a mixin class Drawable that provides a method draw(). They want to create a class Rectangle that inherits from both Shape and Drawable. However, they encounter a TypeError when trying to instantiate Rectangle because the abstract method area() is not implemented. Which action should they take to resolve this?

Accepted Answer

Implement the area() method in Rectangle.. The abstract method area() declared in the Shape base class must be implemented in any concrete subclass. In Python, a class that inherits from an ABC (Abstract Base Class) with an abstract method cannot be instantiated until that method is overridden. By providing an implementation of area() in Rectangle, the class becomes concrete and can be instantiated without raising a TypeError.

Answer

Change the inheritance order to Drawable first, then Shape.

Answer

Use a class decorator @abstractmethod for Rectangle.

Answer

Remove the abstract method from Shape by removing the @abstractmethod decorator.

Question 7

You are working on a legacy system that processes financial transactions. The system uses a class hierarchy: Transaction (base), Deposit, Withdrawal, Transfer. Each subclass overrides a method 'process()' to handle its specific logic. The code often runs in a multi-threaded environment and you notice intermittent errors where a transaction is processed twice. The logging shows that the same transaction object is being passed to the process method multiple times. The transaction objects are created from a factory function that caches recently used transactions. The errors seem to occur when two threads call the factory at the same time with the same parameters. After investigating, you find that the factory uses a class-level dictionary to cache objects. Which of the following is the most appropriate solution to prevent double processing?

Accepted Answer

Make the process() method idempotent by checking if the transaction has already been applied to the account (e.g., check balance changes). The core issue is that the same transaction object can be processed multiple times in a multi-threaded environment, even if the factory is fixed. Making process() idempotent by checking whether the transaction has already been applied (e.g., verifying account balance changes) ensures that repeated calls with the same object do not cause duplicate financial effects, directly addressing the symptom of double processing regardless of how the object is cached or retrieved.

Answer

Add a lock around the cache lookup and creation in the factory function

Answer

Add a flag to each transaction object to indicate if it has been processed, and check it at the start of process()

Answer

Remove the caching mechanism from the factory function to ensure new objects are always created

Question 8

Which of the following correctly uses an abstract base class to enforce that all subclasses implement a 'make_sound' method? (Assume ABC imported)

Accepted Answer

from abc import ABC, abstractmethod
class Animal(ABC):
    @abstractmethod
    def make_sound(self):
        pass. It imports both `ABC` and `abstractmethod` from the `abc` module, defines `Animal` as a subclass of `ABC`, and decorates `make_sound` with `@abstractmethod`. This combination prevents instantiation of `Animal` and forces any concrete subclass to override `make_sound`, or else a `TypeError` is raised at instantiation time.

Answer

from abc import abstractmethod
class Animal:
    @abstractmethod
    def make_sound(self):
        pass

Answer

class Animal:
    def make_sound(self):
        return None

Answer

class Animal:
    def make_sound(self):
        raise NotImplementedError

Question 9

A developer needs to combine a list of 10,000 strings into a single string. Which approach is most efficient in terms of memory and performance?

Accepted Answer

Use ''.join(string_list). The `''.join(string_list)` method is the most efficient because it pre-allocates memory for the final string by first calculating the total length of all strings in the list, then building the result in a single pass. This avoids the quadratic time complexity and repeated memory reallocations caused by string immutability in Python when using `+=` in a loop.

Answer

Use a loop with str += to concatenate each string

Answer

Use str.replace() to merge the strings

Answer

Use str.format() to build the string step by step

Question 10

A team is developing a large application and wants to organize code into packages. Which of the following is a best practice for package design?

Accepted Answer

Use absolute imports with the package name to prevent breakage when the package is moved. Using absolute imports with the full package name (e.g., `from package.module import something`) ensures that the import path is explicit and independent of the module's location within the package. This prevents breakage when the package is moved or installed in a different location, as the import references the top-level package name rather than a relative path that may change. Absolute imports are the recommended style in PEP 8 for clarity and maintainability in larger applications.

Answer

Use relative imports inside the package to avoid hardcoding the package name

Answer

Keep all modules in a single package for simplicity

Answer

Avoid using __init__.py to keep packages lightweight