Python Institute Updated PCPP-32-101 Exam Questions and Answers by tom

This statement is true because the code uses the logging module to create a logger object and set its level to logging.INFO. The logging module provides a way of reporting events that occur during the execution of a program. The logging level determines which events are reported and which are ignored. The logging module defines five levels of severity: DEBUG, INFO, WARNING, ERROR, and CRITICAL. The lower the level, the more events are reported.

The code then uses the logger object to log two messages: one with the level logging.DEBUG and one with the level logging.INFO. The logger object only reports the messages that have a level equal or higher than its own level. Therefore, the message with the level logging.DEBUG is ignored, while the message with the level logging.INFO is reported. The default format for reporting messages is “level name: message”. Therefore, the output of the code is:

INFO: Loading data…

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 .

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.