Free Python Institute PCPP-32-101 Practice Exam with Questions & Answers

The correct answer is A. In Tkinter event handling, an event object contains information about the event that occurred. One of its useful attributes is widget, which refers to the actual widget object that caused or received the event. This is not merely the widget’s name as text; it is a reference to the widget instance itself. That means the event handler can inspect or manipulate the widget directly, for example by reading its configuration or changing its displayed value. Option B and option D are incorrect because they describe a name, not an object reference. Option C is unrelated, since run() is not part of Tkinter event object semantics.

Option A is true because PEP 8 recommends that function and variable names should be lowercase, with words separated by underscores .

Option D is true because PEP 8 recommends that constants should be written in all capital letters with words separated by underscores .

PEP 8 is the official style guide for Python code. It provides guidelines for how to write readable code that follows consistent naming conventions. The aim of PEP 8 is to improve the readability of Python code and make it easier to understand and maintain.

According to PEP 8, variable and function names should be written in all lower-case letters with words separated by underscores, as stated in A. Constants, which are variables whose value is expected to remain constant throughout the code, should be written in all upper-case letters with words separated by underscores, as stated in D.

A. The sqlite3 module in python provides an interface compliant to the DB-API 2.0. Thus, it follows a standard performance metric that allows for consistency in database programming with python.

B. The special name 'memory' is used to create a database in RAM using the sqlite3 module. Thus, when you use it as the name of the database file while opening a connection, it creates a temporary database that exists only in memory.

The correct answers are C and D. PEP 8 recommends surrounding top-level function and class definitions with two blank lines. This improves readability by clearly separating major program units in a module. Inside a class, method definitions should be separated by a single blank line because methods are more closely related and need less visual separation than top-level definitions. Option A is incorrect because imports are commonly grouped into standard library imports, third-party imports, and local application imports, with blank lines separating those groups. Option B is incorrect because one blank line is insufficient for top-level functions and classes under PEP 8. These spacing rules support clean, predictable, maintainable Python code layout.

The unbind_all() method in Tkinter is used to remove all event bindings from a widget. It is a method of the widget object and can be called on any widget in the Tkinter application. Therefore, option A is the correct answer.

Option B is incorrect because the method can be called on any widget, not just the main window widget.

Option C is correct as unbind_all() does not take any parameters.

Option D is incorrect because the method only removes event bindings and does not cause the widgets to disappear.

So, the correct answers are A and C.

The correct answers are B and D. In Python’s csv module, a normal csv.reader object reads each CSV row as a list of strings, so option B is true. A csv.DictReader object reads each row into a dictionary, using field names as keys, so option D is also true. Option A is false because DictReader does not always take headers from the first row; field names can be provided explicitly through the fieldnames argument. Option C is false because DictWriter requires field names so it knows which dictionary keys correspond to CSV columns and in what order they should be written. This distinction between row lists and row dictionaries is central to CSV processing.

The correct answers are A and C. Option A uses a concise one-line docstring that explains the function’s purpose in a useful way. It follows the common Python documentation style by describing what the function returns rather than repeating implementation mechanics. Option C is also useful because the inline comment explains why the value is being adjusted, not merely what the code already shows. Option B is poor because it restates the obvious operation n = n - 1; such comments add noise instead of clarity. Option D is weaker because the docstring describes internal mechanics and argument handling rather than the function’s intended result. Good Python comments should clarify intent, purpose, or non-obvious reasoning.

The correct answers are B and C. In Python, exception objects have a __traceback__ attribute that stores traceback information connected with the point where the exception was raised. This makes option C true. The traceback object can be processed using functions from the traceback module, including traceback.format_tb(), which formats traceback entries into readable strings, so option B is also true. Option A is wrong because __traceback__ is not a special method and is not “delivered” by the traceback module; it is an exception attribute. Option D is also incorrect because the attribute is not limited only to exceptions in an explicit or implicit exception chain.

The correct answer is C. The logging format string requires the logger name first, followed immediately by the log level in square brackets, then the timestamp in square brackets, followed by a colon and the message. The default value produced by %(asctime)s includes milliseconds separated by a comma, such as 2019-10-19 18:21:35,407. Option C exactly matches that structure: root is the logger name, [CRITICAL] is the level name, [2019-10-19 18:21:35,407] is the timestamp, and Invalid argument is the message. Options B and D use colon separators instead of brackets, while option A omits the milliseconds required by the default asctime format.

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.