Knew this one but fumbled the explanation a bit.
Start by defining both paradigms clearly, then contrast them across key dimensions like data vs. behavior, modularity, and scalability. Use concrete examples to illustrate the differences and tie them to real-world scenarios, especially those relevant to Visa's domain like payment systems.
Pro tip: Demonstrate maturity by acknowledging that OOP and procedural programming are not mutually exclusive; many modern systems use a mix of both, and the choice depends on the problem context. Mention that OOP excels in complex, evolving systems while procedural is efficient for simple, algorithmic tasks.
Briefly define procedural programming as a paradigm centered on procedures or functions operating on data, and OOP as a paradigm centered on objects that encapsulate data and behavior.
Contrast key concepts: procedural uses functions and global data, while OOP uses classes, objects, inheritance, polymorphism, and encapsulation.
Explain advantages and disadvantages: procedural can be simpler and more efficient for small tasks, while OOP promotes modularity, reusability, and maintainability for large systems.
Give a concrete example, such as calculating interest procedurally vs. modeling a BankAccount class with methods, to illustrate the differences.
Connect to Visa's context: OOP is beneficial for modeling complex entities like transactions, accounts, and fraud detection, while procedural might be used for performance-critical algorithms.
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