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Python Institute PCPP-32-101 Exam Syllabus Topics:

Section	Weight	Objectives
Multithreading and Concurrency	10%	- Concurrent programming 1. Synchronization mechanisms 2. Thread communication 3. Thread creation and management 4. Concurrency considerations
GUI Programming	20%	- Graphical user interfaces with Tkinter 1. Widgets and layouts 2. Application structure 3. User interaction 4. Event handling
File Processing and Serialization	15%	- Data storage and transfer 1. JSON processing 2. CSV handling 3. Pickle serialization 4. Persistent data management
Advanced Object-Oriented Programming	25%	- Object-oriented concepts 1. Encapsulation and abstraction 2. Inheritance and polymorphism 3. Class and instance attributes 4. Method overriding and extension
Network Programming	20%	- Communication and networking 1. Socket programming 2. Network services 3. Client-server communication 4. Protocols and data exchange
Python Standard Library and Best Practices	10%	- Advanced Python development 1. Using standard library modules 2. Error handling and debugging 3. Code organization 4. Professional programming practices

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Python Institute PCPP1 - Certified Professional in Python Programming 1 Sample Questions (Q55-Q60):

NEW QUESTION # 55
Which of the following methods allow you to load a configuration using ConfigParser? (Select two answers.)

A. read_str
B. read_conf
C. read_dict
D. read

Answer: A,D

Explanation:
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.
Reference: Official Python documentation on ConfigParser: https://docs.python.org/3/library/configparser.
html

NEW QUESTION # 56
What is true about the unbind_all () method?
(Select two answers.)

A. It can be invoked from the main window widget only
B. It causes all the widgets to disappear
C. It is parameterless
D. It can be invoked from any widget

Answer: C,D

Explanation:
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.
References:
Tkinter documentation: https://docs.python.org/3/library/tkinter.html#event-bindings Tkinter tutorial: https://www.python-course.eu/tkinter_events_binds.php

NEW QUESTION # 57
What is true about the unbind () method? (Select two answers.)

A. It needs a widget's object as an argument
B. It is invoked from within the events object
C. It needs the event name as an argument
D. It is invoked from within a widget's object

Answer: C,D

Explanation:
Explanation
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

NEW QUESTION # 58
Which sentence about the property decorator is false?

A. The @property decorator designates a method which is responsible for returning an attribute value
B. The property decorator should be defined after the method that is responsible for setting an encapsulated attribute.
C. The property decorator marks the method whose name will be used as the name of the instance attribute
D. The property decorator should be defined before the methods that are responsible for setting and deleting an encapsulated attribute

Answer: B

Explanation:
Explanation
The @property decorator should be defined after the method that is responsible for setting an encapsulated attribute is a false sentence. In fact, the @property decorator should be defined before the method that is used to set the attribute value. The @property decorator and the setter and deleter methods work together to create an encapsulated attribute, which is used to provide control over the attribute's value.

NEW QUESTION # 59
Select the correct statements about the csv module.
(Select two answers.)

A. It is possible to create a DictWriter object without specifying a header.
B. The DictReader method always gets the header from the first line in the file.
C. A reader object maps each row to a list of strings.
D. A DictReader object maps each row to a dict.

Answer: C,D

Explanation:
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.

NEW QUESTION # 60
......

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