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10+ Hindalco Industries Interview Questions and Answers

Updated 28 Jan 2025
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Q1. Given a circular array containing of positive integers value. your task is to find the maximum sum of a elements such that no numbers are adjacent to each other in the array.

Ans.

Find maximum sum of non-adjacent elements in a circular array of positive integers.

  • Create two arrays, one with the maximum sum ending at each index and another with the maximum sum not including the previous element.

  • Use dynamic programming to fill the arrays.

  • Return the maximum value between the last element of the first array and the second to last element of the second array.

  • Example: [1, 2, 3, 4, 5] returns 9 (sum of 1, 3, and 5).

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Q2. Maximum sum in a circular Array such that no two elements are adjacents to each other.

Ans.

Find maximum sum in a circular array with non-adjacent elements.

  • Use dynamic programming approach.

  • Calculate maximum sum with first element and without first element.

  • Compare the two sums to get the maximum sum.

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Q3. Algorithm for tree in Data structures

Ans.

An algorithm for trees in data structures.

  • A tree is a hierarchical data structure with a set of connected nodes.

  • Common operations on trees include insertion, deletion, and traversal.

  • There are different types of trees such as binary trees, AVL trees, and B-trees.

  • Tree algorithms often involve recursion and depth-first or breadth-first traversal.

  • Examples of tree algorithms include finding the height of a tree or checking if it is balanced.

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Q4. Conplete ecommerce Project details from frontend, backend till deployment and data base.

Ans.

Complete ecommerce project details from frontend to deployment and database

  • Frontend development using HTML, CSS, JavaScript

  • Backend development with languages like PHP, Python, or Node.js

  • Database setup using MySQL or MongoDB

  • Deployment on cloud services like AWS or Heroku

  • Integration of payment gateways like PayPal or Stripe

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Q5. Difference between list and tuple

Ans.

Lists and tuples are both sequence data types in Python, but they have some key differences.

  • Lists are mutable, meaning their elements can be changed, added, or removed.

  • Tuples are immutable, meaning their elements cannot be changed once defined.

  • Lists are defined using square brackets [], while tuples use parentheses ().

  • Lists are typically used for collections of similar items, while tuples are used for heterogeneous data.

  • Lists have more built-in methods and are generally more ...read more

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Q6. Time Complexity of Merge Sort

Ans.

Merge Sort has a time complexity of O(n log n).

  • Merge Sort is a divide-and-conquer algorithm that recursively divides the array into two halves.

  • It then merges the sorted halves to produce a sorted array.

  • The time complexity of Merge Sort is O(n log n), where n is the number of elements in the array.

  • This makes Merge Sort efficient for sorting large arrays.

  • Example: Sorting an array of 8 elements would require 3 merge steps (log base 2 of 8) and a total of 24 comparisons (8 * 3).

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Q7. What is multithreading

Ans.

Multithreading is the ability of a CPU to execute multiple threads concurrently, allowing for better utilization of resources.

  • Multithreading allows for parallel execution of multiple tasks on a single CPU.

  • Each thread has its own set of registers and stack, but shares the same memory space.

  • Multithreading can improve performance and responsiveness of applications.

  • Example: A web server handling multiple requests concurrently using multithreading.

  • Example: A video player playing v...read more

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Q8. What is collections in java

Ans.

Collections in Java refer to classes and interfaces that provide a way to store and manipulate groups of objects.

  • Collections framework in Java includes interfaces like List, Set, and Map, along with classes like ArrayList, HashSet, and HashMap.

  • Collections provide methods for adding, removing, and accessing elements in a structured way.

  • Collections also offer features like sorting, searching, and iterating over elements efficiently.

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Q9. Implement Double double-linked List

Ans.

A double double-linked list is a data structure where each node has two pointers, one pointing to the next node and one pointing to the previous node.

  • Create a Node class with data, next, prev, next2, and prev2 pointers

  • Implement methods to add, remove, and traverse nodes in the list

  • Consider edge cases like adding/removing nodes at the beginning or end of the list

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Q10. Relatime example of polymorphism

Ans.

Polymorphism in programming refers to the ability of a function or method to behave differently based on the object it is called with.

  • Polymorphism allows different classes to be treated as instances of a common superclass.

  • An example of polymorphism is a superclass Animal with subclasses Dog and Cat. Both Dog and Cat can have a method called 'makeSound', but they will produce different sounds when called.

  • Polymorphism helps in achieving flexibility and reusability in code.

  • Anoth...read more

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Q11. What is OOPS ii

Ans.

OOPS stands for Object-Oriented Programming System. It is a programming paradigm based on the concept of objects.

  • OOPS focuses on creating objects that contain data in the form of attributes and code in the form of methods.

  • Encapsulation, inheritance, and polymorphism are key principles of OOPS.

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

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Q12. What is Polymorphism

Ans.

Polymorphism is the ability of a function or method to behave differently based on the object it is acting upon.

  • Polymorphism allows objects of different classes to be treated as objects of a common superclass.

  • It enables a single interface to represent multiple data types.

  • Examples include method overloading and method overriding in object-oriented programming.

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Q13. Implement Fibonacci Series

Ans.

The Fibonacci series is a sequence of numbers where each number is the sum of the two preceding ones.

  • Start with two initial numbers, usually 0 and 1

  • Add the two previous numbers to get the next number in the sequence

  • Repeat this process to generate the Fibonacci series

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Q14. Implement Anagram

Ans.

Implement a function to check if two strings are anagrams of each other.

  • Create a function that takes in two strings as input

  • Remove all spaces and punctuation from both strings

  • Convert both strings to lowercase

  • Sort both strings alphabetically

  • Check if the sorted strings are equal, return true if they are anagrams, false otherwise

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Q15. find the vowels

Ans.

Identify and list the vowels in a given string.

  • Loop through each character in the string

  • Check if the character is a vowel (a, e, i, o, u)

  • Add the vowel to a list/array

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Interview Process at Hindalco Industries

based on 19 interviews
2 Interview rounds
Coding Test Round
Technical Round
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