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Python Programming - Inheritance

Exercise : Inheritance - General Questions
  • Inheritance - General Questions
51.
What is the purpose of the __missing__() method in Python classes?
To define class attributes
To create a new instance of the class
To customize the behavior when a key is not found in a class used as a dictionary
To access superclass attributes directly
Answer: Option
Explanation:
The __missing__() method is used to customize the behavior when a key is not found in a class used as a dictionary.
52.
In Python, what is the purpose of the __call__() method in a metaclass?
To create a new instance of the metaclass
To define class attributes for the metaclass
To customize the behavior when an instance of the metaclass is called
To access superclass attributes directly
Answer: Option
Explanation:
The __call__() method in a metaclass is used to customize the behavior when an instance of the metaclass is called, allowing customization of class creation.
53.
How can you achieve method overriding in Python using the @abstractmethod decorator?
By directly using the @abstractmethod decorator on the overridden method
By using the @override decorator
By using the @implements decorator
Method overriding is not possible using @abstractmethod
Answer: Option
Explanation:
Method overriding in Python can be achieved by using the @abstractmethod decorator on the method in the superclass and implementing it in the subclass.
54.
What is the purpose of the __annotations__ attribute in Python classes?
To define class attributes
To create a new instance of the class
To store type annotations for class attributes and methods
To access superclass attributes directly
Answer: Option
Explanation:
The __annotations__ attribute is used to store type annotations for class attributes and methods, providing information about the expected data types.
55.
How does Python handle multiple inheritance conflicts for method resolution?
By automatically resolving conflicts using the first defined method
By raising an error and requiring explicit resolution using super()
By allowing the developer to choose the resolution order
Multiple inheritance conflicts are not allowed in Python
Answer: Option
Explanation:
Python uses the C3 linearization algorithm, allowing the developer to specify the method resolution order when conflicts arise in multiple inheritance.
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