PCPP-32-101 Python Institute PCPP1 – Certified Professional in Python Programming 1 Free Practice Exam Questions (2025 Updated)

The dump() method in the xml.etree.ElementTree module allows you to output a debug representation of an XML tree to a file or standard output. This method is useful for analyzing the structure of the tree and tracking down errors.

The correct answer is C. Excalibur is the value passed to an instance variable. In the given code snippet, self.name is an instance variable of the Sword class. When an instance of the Sword class is created with varl = Sword('Excalibur'), the value 'Excalibur' is passed as an argument to the __init__ method and assigned to the name instance variable of the varl object.

The code defines a class called Sword with an __init__ method that takes one parameter name. When a new instance of the Sword class is created with varl = Sword('Excalibur'), the value of the 'Excalibur' string is passed as an argument to the __init__ method, and assigned to the self.name instance variable of the varl object.

ConfigParser is a built-in library in Python that allows you to read and write configuration files. The read method is used to read the configuration file which can be in any of the supported file formats, such as INI, YAML, and JSON. The read_dict method is used to read the configuration from a Python dictionary. The read_conf and read_str options are not valid methods in the ConfigParser module.

Therefore, the correct options to load a configuration using ConfigParser are A. read and D. read_string.

The correct answer is B. The getNumberofCrosswords() method should be decorated with @classmethod. In the given code snippet, the getNumberofCrosswords method is intended to be a class method that returns the value of the numberofcrosswords class variable. However, the method is not decorated with the @classmethod decorator and does not take a cls parameter representing the class itself. To make getNumberofCrosswords a proper class method, it should be decorated with @classmethod and take a cls parameter as its first argument.

B. The getNumberofCrosswords() method should be decorated with @classmethod.

This is because the getNumberofCrosswords() method is intended to access the class-level variable numberofcrosswords, but it is defined as an instance method, which requires an instance of the class to be created before it can be called. To make it work as a class-level method, you can define it as a class method by adding the @classmethod decorator to the function.

Here's an example of how to define getNumberofCrosswords() as a class method:

classCrossword:

numberofcrosswords =0

def __init__(self, author, title):

self.author = author

self.title = title

Crossword.numberofcrosswords +=1

@classmethod

defgetNumberofCrosswords(cls):

returncls.numberofcrosswords

In this example, getNumberofCrosswords() is defined as a class method using the @classmethod decorator, and the cls parameter is used to access the class-level variable numberofcrosswords.

Composition is an object-oriented design concept that models a has-a relationship. In composition, a class known as composite contains an object of another class known as component. In other words, a composite class has a component of another class1.

B. Composition allows a class to be projected as a container of different classes.

Composition is a concept in Python that allows for building complex objects out of simpler objects, by aggregating one or more objects of another class as attributes. The objects that are aggregated are generally considered to be parts of the whole object, and the containing object is often viewed as a container for the smaller objects.

In composition, objects are combined in a way that allows for greater flexibility and modifiability than what inheritance can offer. With composition, it is possible to create new objects by combining existing objects, by using a container object to host other objects. By contrast, with inheritance, new objects extend the behavior of their parent classes, and are limited by that inheritance hierarchy.

References:

Official Python documentation on Composition: https://docs.python.org/3/tutorial/classes.html#composition

GeeksforGeeks article on Composition vs Inheritance: https://www.geeksforgeeks.org/composition-vs-inheritance-python/

Real Python article on Composition and Inheritance: https://realpython.com/inheritance-composition-python/

The correct answers are B. Option B and D. Option D. Both options B and D are compliant with PEP 8 recommendations for line breaks and indentation. PEP 8 recommends using 4 spaces per indentation level and breaking lines before binary operators. In option B, the arguments to the print function are aligned with the opening delimiter, which is another acceptable way toformat long lines according to PEP 8. In option D, the second line is indented by 4 spaces to distinguish it from the next logical line.

In Python, type is the built-in metaclass that serves as the base class for all new-style classes. All new-style classes in Python, including built-in types like int and str, are instances of the type metaclass and inherit from it.

The socket.gaierror exception is raised when an address-related error caused by the getaddrinfo() and getnameinfo() functions occurs. These functions are used to translate hostnames to IP addresses and vice versa, and the gaierror exception is raised if they fail to perform this translation.

 The true statement about the __name__ attribute is D. name is a special attribute, which is inherent for classes, and it contains the name of a class. The __name__ attribute is a special attribute of classes that contains the name of the class as a string.

The __name__ attribute is a special attribute in Python that is available for all classes, and it contains the name of the class as a string. The __name__ attribute can be accessed from both the class and its instances using the dot notation.

In the given code snippet, the repeat function is a decorator that takes an argument num_times specifying the number of times the decorated function should be called. The repeat function returns an inner function wrapper_repeat that takes a function func as an argument and returns another inner function wrapper that calls func num_times times.

The provided code snippet represents an example of a decorator that accepts its own arguments. The @decorator_function syntax is used to apply the decorator_function to the some_function function. The decorator_function takes an argument arg1 and defines an inner function wrapper_function that takes the original function func as its argument. The wrapper_function then returns the result of calling func, along with the arg1 argument passed to the decorator_function.

Here is an example of how to use this decorator with some_function:

@decorator_function("argument 1")

defsome_function():

return"Hello world"

When some_function is called, it will first be passed as an argument to the decorator_function. The decorator_function then adds the string "argument 1" to the result of calling some_function() and returns the resulting string. In this case, the final output would be "Hello world argument 1".

If the main window is too small to fit all its widgets, some widgets may be invisible. So, the correct answer is Option A.

When a window is not large enough to display all of its content, some widgets may be partially or completely hidden. The window will not automatically expand to fit all of its content, and no exception will be raised. The widgets will not be automatically scaled down to fit the window’s size.

If the main window is too small to fit all its widgets, some of the widgets may not be visible or may be partially visible. This is because the main window has a fixed size, and if there are more widgets than can fit within that size, some of them will be outside the visible area of the window.

To avoid this issue, you can use layout managers such as grid, pack, or place to dynamically adjust the size and position of the widgets as the window changes size. This will ensure that all the widgets remain visible and properly arranged regardless of the size of the main window.

References:

https://www.tkdocs.com/tutorial/widgets.html#managers

https://www.geeksforgeeks.org/python-tkinter-widgets/

https://anzeljg.github.io/rin2/book2/2405/docs/tkinter/introduction.html

ElementTree is a Python built-in module that provides a simple and efficient API for parsing and creating XML data. It allows you to access and manipulate XML data in a very straightforward way, making it easy to write XML processing applications.