Object-Oriented Programming (OOP) interview questions and their answers that are often asked to experienced software engineers.

Ajithkumar M
6 min readAug 25, 2023

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  1. What are the four fundamental principles of Object-Oriented Programming?
  • Encapsulation: This principle involves bundling data (attributes) and methods (functions) that operate on that data into a single unit, called a class. It helps in hiding the internal details of how an object works and exposing only the necessary functionality.
  • Abstraction: Abstraction involves creating a simplified representation of an object that hides the unnecessary details and presents only the essential features. It allows you to focus on what an object does rather than how it does it.
  • Inheritance: Inheritance is a mechanism that allows one class to inherit the properties and methods of another class. It promotes code reuse and helps in creating a hierarchy of classes.
  • Polymorphism: Polymorphism allows objects of different classes to be treated as objects of a common superclass. It enables you to write more flexible and adaptable code by enabling methods to behave differently based on the specific implementation.

2. What is the difference between composition and inheritance?

  • Composition: Composition involves creating complex objects by combining simpler objects or components. It promotes a “has-a” relationship, where an object contains other objects as its parts. This is often achieved through member variables or properties.
  • Inheritance: Inheritance involves creating a new class that inherits properties and behaviors from an existing class. It promotes an “is-a” relationship, where a subclass is a specialized version of a superclass. Inheritance is achieved using the extends keyword in languages like Java.

3. Explain the SOLID principles in OOP design.

  • S — Single Responsibility Principle (SRP): A class should have only one reason to change, meaning it should have only one responsibility. This promotes modular and maintainable code.
  • O — Open/Closed Principle (OCP): Software entities (classes, modules, functions, etc.) should be open for extension but closed for modification. New features should be added by extending existing code, not by modifying it.
  • L — Liskov Substitution Principle (LSP): Objects of a derived class should be substitutable for objects of the base class without affecting the correctness of the program. In other words, subclasses should honor the contract of the superclass.
  • I — Interface Segregation Principle (ISP): Clients should not be forced to depend on interfaces they do not use. It’s better to have specific, smaller interfaces rather than a single large interface.
  • D — Dependency Inversion Principle (DIP): High-level modules should not depend on low-level modules; both should depend on abstractions. Abstractions should not depend on details; details should depend on abstractions.

4. How does encapsulation contribute to data hiding and data protection?

Encapsulation refers to bundling data (attributes) and methods (functions) that operate on that data into a single unit (class). Data hiding is a result of encapsulation. By encapsulating data, you can control the visibility of the data and provide access to it through methods. This allows you to hide the internal implementation details and expose only the necessary functionality. This prevents direct manipulation of the data from outside the class, reducing the chances of unintended side effects and ensuring proper data protection.

5. What is the difference between method overloading and method overriding?

  • Method Overloading: Method overloading is when multiple methods in the same class have the same name but different parameters (number, type, or both). It allows you to provide multiple ways to perform a similar operation. Overloading is determined at compile time based on the method signature.
  • Method Overriding: Method overriding is when a subclass provides a specific implementation for a method that is already defined in its superclass. The method signatures (name, return type, and parameters) must match. Overriding allows you to specialize or customize the behavior of inherited methods. Overriding is determined at runtime based on the actual object’s type.

6. How does the concept of interfaces differ from abstract classes?

  • Interfaces: An interface defines a contract that classes must adhere to. It only contains method signatures (no method implementations) and constants. A class can implement multiple interfaces. Interfaces are used to achieve multiple inheritance in languages that do not support it natively.
  • Abstract Classes: An abstract class is a class that cannot be instantiated on its own and can contain both method signatures and actual method implementations. It serves as a blueprint for concrete subclasses. A class can extend only one abstract class due to single inheritance constraints.

7. Explain the concept of a design pattern. Provide an example.

A design pattern is a reusable solution to a recurring problem in software design. It provides a template for solving common design issues and promotes best practices for creating maintainable and efficient code. Design patterns help in structuring code in a way that addresses specific problems while maintaining flexibility and adaptability.

Example: The “Singleton” pattern ensures that a class has only one instance and provides a global point of access to that instance. This can be useful for managing resources that need to be shared across the application, such as a database connection or a configuration manager.

8. How do you prevent the “diamond problem” in languages that support multiple inheritance?

The “diamond problem” occurs in languages that support multiple inheritance when a class inherits from two or more classes that have a common base class. This can lead to ambiguity in method and attribute resolution.

To prevent this, some languages provide mechanisms to handle multiple inheritance, such as:

  • Virtual Inheritance: This mechanism ensures that a base class shared by multiple paths in the inheritance hierarchy is instantiated only once. This prevents the duplication of base class data.
  • Interfaces: Instead of inheriting implementation, classes can implement interfaces that define method signatures. This eliminates the problem of conflicting implementations in multiple inheritance scenarios.

9. How can you achieve thread safety in object-oriented programming?

Thread safety ensures that objects and data can be accessed and manipulated by multiple threads without causing data corruption or inconsistencies. Some ways to achieve thread safety include:

  • Synchronization: Using locks or mutexes to prevent multiple threads from accessing the same object simultaneously.
  • Immutable Objects: Creating objects that cannot be modified after creation. Since they are not mutable, they can be safely shared among threads.
  • Thread-Local Storage: Assigning each thread its own instance of an object, ensuring that each thread works with its own separate copy.
  • Atomic Operations: Using atomic types or operations that are guaranteed to be executed as a single, uninterruptible unit.

10. Can you explain the concept of “serialization” in object-oriented programming?

Serialization is the process of converting an object’s state into a format that can be easily stored, transmitted, or reconstructed at a later time. This is particularly useful when you need to save an object’s data to a file, send it over a network, or store it in a database. Serialization allows you to “flatten” an object’s state into a series of bytes, which can then be persisted or transferred and later “deserialized” back into an object.

Serialization is commonly used in various scenarios, such as:

  1. Persistence: When you want to save the state of an object to a file or a database so that it can be loaded and used again in the future.
  2. Communication: When you need to transmit object data over a network, such as in client-server interactions or distributed systems.
  3. Caching: When you want to cache the state of an object for faster retrieval, and you can serialize it to a cache store.
  4. Messaging: When sending objects between different parts of a system or between different systems.

There are different serialization formats and methods, and the choice depends on factors like performance, data size, human-readability, and compatibility. Here are some commonly used serialization formats:

  • JSON (JavaScript Object Notation): A lightweight, human-readable format that’s commonly used for web APIs and configuration files.
  • XML (eXtensible Markup Language): Another human-readable format often used for data interchange and configuration.
  • Binary Serialization: This format represents data in a more compact binary form. It’s typically more efficient in terms of both size and speed compared to text-based formats like JSON and XML.
  • Protocol Buffers (protobuf): A binary serialization format developed by Google, designed for efficiency and extensibility.
  • MessagePack: A binary serialization format that aims for compactness and speed.

When designing classes that need to be serialized, keep the following in mind:

  • Serialization Compatibility: Ensure that the serialized format remains compatible across different versions of your application by using versioning and handling changes gracefully.
  • Security: Be cautious when deserializing data from untrusted sources, as it can be a potential security risk (e.g., deserialization attacks).
  • Transient Data: Some data within an object might not need to be serialized, such as runtime-specific information. You can mark such data as transient to exclude it from serialization.
  • Custom Serialization: You can provide custom serialization and deserialization methods in your classes to control how object state is serialized and deserialized.

Serialization is a powerful tool that enables objects to persist beyond the lifetime of a program or to be shared between different components. It’s a fundamental concept in modern software development, especially when dealing with distributed systems, databases, and data interchange.

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Ajithkumar M

Software Engineer | R&D | ML | LLM | AI | IoT | Python | ChatGPT| React Native