Python Institute PCPP-32-101 - PCPP1 – Certified Professional in Python Programming 1

The correct answer is B because Python’s pickle module can serialize many built-in data types, including integers, floating-point numbers, complex numbers, strings, bytes, bytearrays, booleans, and None. However, it does not serialize the actual implementation or definition body of functions and classes. Top-level functions and classes may sometimes be pickled by reference using their fully qualified names, but their code definitions are not stored inside the pickle byte stream. This distinction matters: pickle records enough information to locate an object again during unpickling, but it does not preserve source code, nested definitions, lambda functions, or dynamically created definitions in a portable way. Therefore, “function and class definitions” is the option that cannot truly be pickled as definitions.

Option B is true because the  unbind()  method is invoked from within a widget’s object  1 .

Option D is true because the  unbind()  method needs the event name as an argument  1 .

The  unbind()  method in Tkinter is used to remove a binding between an event and a function. It can be invoked from within a widget's object when a binding is no longer needed. The method requires the event name as an argument to remove the binding for that specific event. For example:

button = tk.Button(root, text="Click me")

button.bind(" < Button-1 > ", callback_function) # bind left mouse click event to callback_function

button.unbind(" < Button-1 > ") # remove the binding for the left mouse click event

The correct answers are A and B. Option A uses a clean multi-line dictionary layout, placing each key-value pair on its own line and aligning the closing brace clearly. This is readable and consistent with PEP 8’s preference for clear continuation formatting. Option B is also compliant because continuation lines are aligned with the opening delimiter of the function call, which is an accepted PEP 8 style. Option C is not compliant because the function call is split awkwardly, making the call structure unclear and damaging readability. Option D uses unnecessary spaces inside braces and around dictionary colons; PEP 8 discourages extraneous whitespace in expressions and dictionary displays.

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.

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 class 1 .

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.

C. The execute method is provided by the Cursor class

This statement is true because the execute method is one of the methods of the Cursor class in the sqlite3 module. The Cursor class represents an object that can execute SQL statements and fetch results from a database connection. The execute method takes an SQL query as an argument and executes it against the database. For example, cur = conn.cursor (); cur.execute (“SELECT * FROM table”) creates and executes a cursor object that selects all rows from a table.

D. The fetchone method returns None when no rows are available

This statement is true because the fetchone method is another method of the Cursor class in the sqlite3 module. The fetchone method fetches the next row of a query result set and returns it as a single tuple or None if no more rows are available. For example, row = cur.fetchone () fetches and returns one row from the cursor object or None if there are no more rows.

The correct answer is D. Tkinter widgets support many configuration options, and options such as width, underline, and highlightthickness are valid properties for relevant widgets. For example, width can define widget size, underline can specify which character should be underlined in text-based widgets, and highlightthickness controls the thickness of the focus highlight border. The option depth, however, is not a standard Tkinter widget configuration property. Tkinter widget options are specific names understood by the underlying Tk system, and unsupported names normally produce configuration errors when used. Therefore, among the listed options, depth is the one that does not belong as a Tkinter widget property.

According to PEP 8 recommendations, the two best options are  Option B  and  Option 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 characters 1 . 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 methods 2 .

The correct answers are C and D. The json.loads() function is used for JSON deserialization. It accepts a JSON-formatted string, bytes, or bytearray and converts that serialized JSON data into an equivalent Python object. For example, a JSON object becomes a Python dictionary, a JSON array becomes a Python list, JSON strings become Python strings, and JSON numbers become Python numeric values. Option A describes json.dumps(), which takes Python data and serializes it into JSON text. Option B is also incorrect because returning a JSON string is the job of json.dumps(), not json.loads(). Therefore, json.loads() takes JSON text as input and returns a Python entity.

In the JSON processing context, the term serialization: A. names a process in which Python data is turned into a JSON string.

Serialization refers to the process of converting a data object, such as a Python object, into a format that can be easily transferred over a network or stored in a file. In the case of JSON, serialization refers to converting Python data into a string representation using the JSON format. This string can be sent over a network or stored as a file, and later deserialized back into the original Python data object.