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Python Institute PCPP-32-101 Exam Syllabus Topics:

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

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Python Institute PCPP1 - Certified Professional in Python Programming 1 Sample Questions (Q62-Q67):

NEW QUESTION # 62
Look at the following examples of comments and docstrings in PythonSelect the ones that are useful and compliant with PEP 8 recommendations (Select the two best answers.) A)

Answer: A,D

Explanation:
Explanation
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 characters1. 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 methods2.


NEW QUESTION # 63
Look at the following examples of comments and docstrings in Python Select the ones that are useful and compliant with PEP 8 recommendations (Select the two best answers.)

Answer: A,B

Explanation:
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 .


NEW QUESTION # 64
A socket object is usually created by which one of the following invocations?

Answer: A

Explanation:
Explanation
A socket object is usually created using the socket() constructor provided by the socket module in Python. The correct invocation is socket.socket(socket_domain, socket_type). This creates a new socket object with the specified socket domain and type.


NEW QUESTION # 65
What is ElementTree?

Answer: B

Explanation:
ElementTree is a Python built-in module that provides a simple and efficient API for parsing and creating XML data. It allows you to access and manipulate XML data in a very straightforward way, making it easy to write XML processing applications.
Reference: Official Python documentation on ElementTree: https://docs.python.org/3/library/xml.etree.
elementtree.html
This statement is true because ElementTree is a module in the standard library of Python that provides an API for working with XML data. The module supports parsing XML from strings or files, creating XML trees from scratch or modifying existing ones, searching and iterating over XML elements, and writing XML data to strings or files.


NEW QUESTION # 66
In the JSON processing context, the term serialization:

Answer: B

Explanation:
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.
Reference: Official Python documentation on json: https://docs.python.org/3/library/json.html#json- serialization


NEW QUESTION # 67
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