Encapsulation Questions and Answers

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Showing 10 of 25 questions
Q21
What is the advantage of using properties over direct attribute access?
  • A Can add logic while keeping simple syntax
  • B Makes code shorter
  • C Automatically caches values
  • D Prevents all errors
Answer: Option A
Explanation: Properties allow you to add validation, computation, or side effects while maintaining simple attribute syntax.
Q22
When should you use encapsulation in Python?
  • A When you need to protect data integrity
  • B For all attributes always
  • C Only for public APIs
  • D Only in multithreaded programs
Answer: Option A
Explanation: Encapsulation is most beneficial when you need to protect data integrity or hide implementation details.
Q23
What is the role of constructor in encapsulation?
  • A Initialize object state with validation
  • B Create class documentation
  • C Improve performance
  • D Handle exceptions
Answer: Option A
Explanation: Constructors initialize object state and can validate initial values, working with encapsulation principles.
Q24
How does encapsulation help in debugging?
  • A Localizes where changes can occur
  • B Automatically finds bugs
  • C Provides detailed error messages
  • D Prevents all runtime errors
Answer: Option A
Explanation: Encapsulation localizes changes and makes it easier to track where attributes are modified, simplifying debugging.
Q25
What is the Pythonic way to implement encapsulation?
  • A Use properties and underscore conventions
  • B Use Java-style getters/setters for everything
  • C Make all attributes public
  • D Use external validation libraries
Answer: Option A
Explanation: The Pythonic approach uses properties and underscores as conventions rather than strict enforcement.

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