Python Institute PCPP-32-101 PCPP1 - Certified Professional in Python Programming 1 Exam Practice Test

Answer : A

If the main window is too small to fit all its widgets,some widgets may be invisible. So, the correct answer isOption 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 asgrid,pack, orplaceto 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.

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

Answer : B, D

According to PEP 8 recommendations, the two best options areOption BandOption D.

Option B follows PEP 8's suggestion that all lines should be limited to 79 characters and for longer blocks of text like docstrings or comments, the length should be limited to 72 characters1. Option D follows PEP 8's conventions for writing good documentation strings (a.k.a. ''docstrings'') which are immortalized in PEP 257.It suggests writing docstrings for all public modules, functions, classes, and methods2.

Answer : B, D

The correct answers areB. Option BandD. 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 theprintfunction are aligned with the opening delimiter, which is another acceptable way to format 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.

Answer : A, D

The correct answers areA. An attribute owned by every exception objectandD. An attribute that holds interesting information that is particularly useful when the programmer wants to store exception details in other objects. A traceback is an attribute of an exception object that contains a stack trace representing the call stack at the point where the exception was raised. The traceback attribute holds information about the sequence of function calls that led to the exception, which can be useful for debugging and error reporting.

Answer : A

Deserialization is the process of converting data that has been serialized

For example, if you have a Python objectmy_objand you want to serialize it to a JSON string, you might do something like this:

import json

serialized_obj = json.dumps(my_obj)

To deserialize the JSON string back into a Python object, you would use thejson.loads()method:

deserialized_obj = json.loads(serialized_obj)

This would convert the JSON string back into its original Python object form.

Official Python Documentation on Serialization:https://docs.python.org/3/library/pickle.html#module-pickle

Real Python Tutorial on Serialization and Deserialization in Python:https://realpython.com/python-serialization/

Deserialization is the process of converting a sequence of bytes, such as a file or a network message, into a Python object. This is the opposite of serialization, which is the process of converting a Python object into a sequence of bytes for storage or transmission.

Answer : B

The provided code snippet defines a functionf1that accepts variable-length arguments using the*argsand**kwargssyntax. The*argsparameter allows for an arbitrary number of unnamed arguments to be passed to the function as a tuple, while the**kwargsparameter allows for an arbitrary number of named arguments to be passed to the function as a dictionary.

Therefore, the correct statement that best describes the code is:

1. The*argsparameter holds a list of unnamed parameters, while the**kwargsparameter holds a dictionary of named parameters.

Official Python documentation on Function definitions:https://docs.python.org/3/tutorial/controlflow.html#defining-functions

Thearg parameter holds a list of unnamed parameters. In the given code snippet, thef1function takes two arguments:*argand**kwarg. The*argsyntax in the function signature is used to pass a variable number of non-keyword (positional) arguments to the function. Inside the function,argis a tuple containing the positional arguments passed to the function. The**kwargsyntax in the function signature is used to pass a variable number of keyword arguments to the function. Inside the function,kwargis a dictionary containing the keyword arguments passed to the function.

Answer : A

In the given code snippet, therepeatfunction is a decorator that takes an argumentnum_timesspecifying the number of times the decorated function should be called. Therepeatfunction returns an inner functionwrapper_repeatthat takes a functionfuncas an argument and returns another inner functionwrapperthat callsfuncnum_timestimes.

The provided code snippet represents an example of a decorator that accepts its own arguments. The@decorator_functionsyntax is used to apply thedecorator_functionto thesome_functionfunction. Thedecorator_functiontakes an argumentarg1and defines an inner functionwrapper_functionthat takes the original functionfuncas its argument. Thewrapper_functionthen returns the result of callingfunc, along with thearg1argument passed to thedecorator_function.

Here is an example of how to use this decorator withsome_function:

@decorator_function('argument 1')

def some_function():

return 'Hello world'

Whensome_functionis called, it will first be passed as an argument to thedecorator_function. Thedecorator_functionthen adds the string'argument 1'to the result of callingsome_function()and returns the resulting string. In this case, the final output would be'Hello world argument 1'.

Official Python documentation on Decorators:https://docs.python.org/3/glossary.html#term-decorator