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Python Institute PCPP-32-101 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Advanced Object-Oriented Programming25%- Object-oriented concepts
  • 1. Method overriding and extension
  • 2. Encapsulation and abstraction
  • 3. Class and instance attributes
  • 4. Inheritance and polymorphism
Topic 2: Python Standard Library and Best Practices10%- Advanced Python development
  • 1. Error handling and debugging
  • 2. Using standard library modules
  • 3. Code organization
  • 4. Professional programming practices
Topic 3: File Processing and Serialization15%- Data storage and transfer
  • 1. JSON processing
  • 2. Persistent data management
  • 3. CSV handling
  • 4. Pickle serialization
Topic 4: Network Programming20%- Communication and networking
  • 1. Socket programming
  • 2. Client-server communication
  • 3. Network services
  • 4. Protocols and data exchange
Topic 5: GUI Programming20%- Graphical user interfaces with Tkinter
  • 1. Event handling
  • 2. Application structure
  • 3. User interaction
  • 4. Widgets and layouts
Topic 6: Multithreading and Concurrency10%- Concurrent programming
  • 1. Thread creation and management
  • 2. Concurrency considerations
  • 3. Synchronization mechanisms
  • 4. Thread communication

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Python Institute PCPP1 - Certified Professional in Python Programming 1 Sample Questions (Q20-Q25):

NEW QUESTION # 20
Select the true statements related to PEP 8 programming recommendations for code writing. (Select two answers:)

Answer: B,D

Explanation:
The two true statements related to PEP 8 programming recommendations for code writing are Option B and Option D .
Option B is true because PEP 8 recommends making object type comparisons using the isinstance() method instead of comparing types directly 1 .
Option D is true because PEP 8 recommends not writing string literals that rely on significant trailing whitespaces as they may be visually indistinguishable, and certain editors may trim them 1 .


NEW QUESTION # 21
What will happen if the mamwindow is too small to fit all its widgets?

Answer: D

Explanation:
Explanation
If the main window is too small to fit all its widgets, some widgets may be invisible. So, the correct answer is Option 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 as grid, pack, or place to 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.
References:
* 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


NEW QUESTION # 22
If purple can be obtained from mixing red and blue, which color codes represent the two ingredients? Select two answers)

Answer: B,D


NEW QUESTION # 23
What will be the content of the co/ors.csv filewhen you run the following code?

A)

B)

C)

D)
An exception will be raised.

Answer: A


NEW QUESTION # 24
Analyze the following function and choose the statement that best describes it.

Answer: B

Explanation:
In the given code snippet, the repeat function is a decorator that takes an argument num_times specifying the number of times the decorated function should be called. The repeat function returns an inner function wrapper_repeat that takes a function func as an argument and returns another inner function wrapper that calls func num_times times.
The provided code snippet represents an example of a decorator that accepts its own arguments.
The @decorator_function syntax is used to apply the decorator_function to the some_function function.
The decorator_function takes an argument arg1 and defines an inner function wrapper_function that takes the original function func as its argument. The wrapper_function then returns the result of calling func , along with the arg1 argument passed to the decorator_function .
Here is an example of how to use this decorator with some_function :
@ decorator_function ( "argument 1" )
def some_function ():
return "Hello world"
When some_function is called, it will first be passed as an argument to the decorator_function .
The decorator_function then adds the string "argument 1" to the result of calling some_function() and returns the resulting string. In this case, the final output would be "Hello world argument 1" .
Reference:
Official Python documentation on Decorators: https://docs.python.org/3/glossary.html#term-decorator


NEW QUESTION # 25
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