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Python Institute PCPP-32-101 Exam Syllabus Topics:

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

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Python Institute PCPP1 - Certified Professional in Python Programming 1 Sample Questions (Q38-Q43):

NEW QUESTION # 38
What is the result of the following code?

What is the result of the following code?

Answer: B

Explanation:
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 # 39
What will be the content of the co/ors.csv file when you run the following code?

A)

B)

C)

D)
An exception will be raised.

Answer: D


NEW QUESTION # 40
What is the result of the following code?
import configparser
config = configparser.ConfigParser()
config['DEFAULT'] = {}
config['mysql'] = {}
config['postgresql'] = {}
config['redis'] = config['postgresql']
print(config.sections())

Answer: B

Explanation:
The correct answer is B. The ConfigParser.sections() method returns a list of section names, but it does not include the special DEFAULT section. Therefore, even though config['DEFAULT'] = {} is present, DEFAULT is excluded from the printed result. The code then creates three regular sections: mysql, postgresql, and redis. Assigning config['redis'] = config['postgresql'] creates or updates a separate section named redis using the values from the postgresql section; it does not duplicate the section name postgresql in the section list. Therefore, the output contains only the normal section names: ['mysql',
'postgresql', 'redis'] .


NEW QUESTION # 41
Which of the following methods allow you to load a configuration using ConfigParser? (Select two answers.)

Answer: A,B

Explanation:
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.


NEW QUESTION # 42
Which of the following constants will be used if you do riot define the quoting argument in the writer method provided by the csv module?

Answer: B

Explanation:
If you do not define the quoting argument in the writer method provided by the csv module, the default quoting behavior is set to QUOTE_MINIMAL. This means that fields containing special characters such as the delimiter or newline character will be quoted, while fields that do not contain special characters will not be quoted.
Reference: Official Python documentation on the csv module: https://docs.python.org/3/library/csv.html


NEW QUESTION # 43
......

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