TCS Intern Interview Questions and Answers for Freshers

OOP stands for Object-Oriented Programming. It is a programming paradigm that uses objects and classes to organize code.

• OOP focuses on objects and classes, allowing for encapsulation, inheritance, and polymorphism.

• Objects are instances of classes that contain data and methods.

• In OOP, code is organized into reusable components, making it easier to maintain and scale.

• Examples of OOP languages include Java, C++, and Python.

Data structures are ways to store and organize data, while algorithms are step-by-step procedures for solving problems.

• Data structures are like containers that hold data in a specific layout, such as arrays, linked lists, trees, etc.

• Algorithms are the instructions or steps used to manipulate the data stored in data structures, like sorting or searching.

• Data structures focus on how data is stored and accessed, while algorithms focus on how to perform operations on the data eff...read more

I intend to gain valuable experience and skills in the IT industry while contributing to the growth of TCS.

• Develop my technical skills through hands-on experience

• Learn from experienced professionals in the industry

• Contribute to the growth and success of TCS through my work

• Build a strong professional network

• Explore opportunities for career advancement within TCS

Microservices are a software development technique where applications are composed of small, independent services that communicate with each other through APIs.

• Microservices break down a large application into smaller, loosely coupled services

• Each service is responsible for a specific function and can be developed, deployed, and scaled independently

• Communication between services is typically done through APIs, allowing for flexibility and easier maintenance

• Examples of compani...read more

NumPy is a library for numerical computing in Python, while Pandas is a data manipulation and analysis tool.

• NumPy provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.

• Pandas offers data structures like DataFrame for easy data manipulation and analysis, with functions for reading and writing data from various file formats.

• Both libraries are commonly used in data science and machine learn...read more

Python is a high-level programming language known for its simplicity and readability.

• Python is interpreted, not compiled

• It supports multiple programming paradigms like procedural, object-oriented, and functional programming

• Python has a large standard library and a thriving community for support and resources