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Digital Specialist Interview Questions and Answers for Freshers

Updated 25 Nov 2023

Q1. 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.

Q2. 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

Frequently asked in, ,

Q3. 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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