LTIMindtree Software Engineer Interview Questions, Process, and Tips

Q1. Tell me about OOPS concept and where do you use it.
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First round was aptitude test

Second was coding round

Q1. Self intro then java
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Q2. Oops concepts and general hr
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Verbal, Analytics, Maths, Ages, Boats,

4 Coding questions 2 Easy, 1 Moderate 1 Advance

Q1. What Is Function?
Ans. 
A function is a block of code that performs a specific task when called.
• Functions can take input parameters and return output values.

• Functions can be reused multiple times in a program.

• Examples: summing two numbers, sorting an array, calculating factorial.
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Q2. Explain OOPS concepts
Ans. 
OOPS concepts refer to Object-Oriented Programming principles like Inheritance, Encapsulation, Polymorphism, and Abstraction.
• Inheritance: Allows a class to inherit properties and behavior from another class.

• Encapsulation: Bundling data and methods that operate on the data into a single unit.

• Polymorphism: Ability to present the same interface for different data types.

• Abstraction: Hiding the complex implementation detail
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Basic aptitude topics and two coding questions basic level

Q1. Related to basic understanding of the oops
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Q1. Basic informations about my interest, weakness, etc.
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60 mins apti and coding

Q1. Basic DSA theory question
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Q2. What is Stack and Queue
Ans. 
Stack and Queue are data structures used to store and retrieve data in a specific order.
• Stack is a Last In First Out (LIFO) data structure where elements are added and removed from the same end.

• Queue is a First In First Out (FIFO) data structure where elements are added at the rear and removed from the front.

• Examples: Stack - undo functionality in text editors, Queue - printing jobs in a printer.
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Q1. General HR question
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Logical, English, Aptitude

Basic code to convert bin into number

Q1. Why python is used
Ans. 
Python is used for its simplicity, readability, versatility, and vast libraries.
• Easy to learn and read code

• Versatile for various applications like web development, data analysis, machine learning

• Extensive libraries like NumPy, Pandas, and TensorFlow

• Support for object-oriented, imperative, and functional programming styles
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Q2. Basic python questions
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