Encapsulation Questions and Answers
Python Programming - Encapsulation Questions with Answers focus on data protection and abstraction concepts. These Python Encapsulation Questions are useful for Cognizant, Infosys, and Bank PO exams, helping learners understand how to restrict access to object data securely
Study encapsulation in object-oriented programming. Complement this with C# inheritance and polymorphism
Encapsulation
Showing 10 of
25 questions
11. What is the purpose of using properties in Python classes?
- To use getter/setter with attribute syntax
- To create read-only attributes
- To improve performance
- To enable multiple inheritance
12. How do you make an attribute read-only using properties?
- Define only getter without setter
- Use double underscore prefix
- Use the "readonly" keyword
- Make attribute name uppercase
13. What is data hiding in encapsulation?
- Restricting direct access to internal data
- Encrypting data in memory
- Storing data in hidden files
- Deleting sensitive data
14. Which principle is closely related to encapsulation?
- Abstraction
- Inheritance
- Polymorphism
- Recursion
15. What happens when you try to access __private_var directly from outside?
- AttributeError occurs due to name mangling
- It works normally
- SyntaxError occurs
- ValueError is raised
16. How can you validate data before setting an attribute value?
- Using setter methods with validation
- Using constructor only
- Using try-except blocks everywhere
- Using assert statements in main
17. What is the convention for protected members in Python?
- Single underscore prefix (_member)
- Double underscore prefix (__member)
- No special prefix
- Uppercase names
18. Why is encapsulation important in large projects?
- Prevents unintended interference between components
- Makes code run faster
- Reduces memory usage
- Automatically fixes bugs
19. What is the difference between _protected and __private in Python?
- __private uses name mangling, _protected does not
- _protected is faster than __private
- __private cannot be inherited
- _protected requires special imports
20. How do you delete a property in Python?
- Using @property.deleter decorator
- Using del keyword directly
- Using remove_property() function
- Using __delete__ method