This Python Multiple Inheritance Quiz helps you grasp how a class can inherit features from more than one parent. Learn how Python handles ambiguity with MRO, the role of super(), and how to design clean multi-parent class structures.
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Which of the following is valid syntax for multiple inheritance?
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Question 3 of 15
3. Question
What will this code print?
class A: def show(self): print(“A”)
class B: def show(self): print(“B”)
class C(A, B): pass
c = C() c.show()
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Question 4 of 15
4. Question
What determines method resolution in multiple inheritance?
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Question 5 of 15
5. Question
What is the Diamond Problem in multiple inheritance?
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Question 6 of 15
6. Question
How does Python resolve the Diamond Problem?
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Question 7 of 15
7. Question
What will this code output?
class A: def process(self): print(“A”)
class B(A): def process(self): print(“B”)
class C(A): def process(self): print(“C”)
class D(B, C): pass
d = D() d.process()
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Question 8 of 15
8. Question
What is the MRO of this class? class Z(X, Y):
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Question 9 of 15
9. Question
Which function can you use to view MRO of a class?
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Question 10 of 15
10. Question
Can all classes in multiple inheritance have their own __init__()?
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Question 11 of 15
11. Question
What is the output of this code?
class A: def __init__(self): print(“A”)
class B: def __init__(self): print(“B”)
class C(A, B): def __init__(self): super().__init__()
C()
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Question 12 of 15
12. Question
Is Python’s super() safe to use with multiple inheritance?
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Question 13 of 15
13. Question
Can multiple inheritance be used with abstract base classes?
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Question 14 of 15
14. Question
What happens if two base classes define the same method?
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Question 15 of 15
15. Question
Which of the following best avoids Diamond Problem confusion?
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Summary
These Python Multiple Inheritance MCQs clarify how Python handles method conflicts, super(), and MRO through C3 linearization. Learning this equips you to build reusable, maintainable, and scalable object-oriented systems confidently.
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