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Python Institute PCPP-32-101 Exam Syllabus Topics:

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

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Python Institute PCPP1 - Certified Professional in Python Programming 1 Sample Questions (Q46-Q51):

NEW QUESTION # 46
Select the correct statements about the csv module.
(Select two answers.)

Answer: A,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 # 47
In the JSON processing context, the term serialization:

Answer: D

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 # 48
Select the true statements related to PEP 8 naming conventions. (Select two answers.)

Answer: B,D

Explanation:
The correct answers are C and D. PEP 8 recommends that module names should be short and entirely lower-case; underscores may be used only when they improve readability. This keeps imports clean and predictable. PEP 8 also warns against using the single-character variable names l, O, or I because they can be visually confused with 1 and 0 in many fonts. Option A is incorrect because Python class names should normally use the CapWords convention, not mixedCase. Option B is incorrect because exception names are class names and should follow class naming conventions; if the exception represents an error, the name should usually end with Error.


NEW QUESTION # 49
What is the result of the following code?

What is the result of the following code?

Answer: C

Explanation:
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...


NEW QUESTION # 50
Analyze the following snippet and select the statement that best describes it.

Answer: B

Explanation:
In the given code snippet, an instance of OwnMath exception is raised with an explicitly specified __cause__ attribute that refers to the original exception ( ZeroDivisionError ). This is an example of explicitly chaining exceptions in Python.


NEW QUESTION # 51
......

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