DSA Inerview Questions

Question 1

What is data-structure?

Answer 1

Data structure is a way of defining, storing & retriving of data in a structural & systemetic way. A data structure may contain different type of data items.

Question 2

What are various data-structures available?

Answer 2

Data structure availability may vary by programming languages. Commonly available data structures are list, arrays, stack, queues, graph, tree etc.

Question 3

What is algorithm?

Answer 3

Algorithm is a step by step procedure, which defines a set of instructions to be executed in certain order to get the desired output.

Question 4

Why we need to do algorithm analysis?

Answer 4

A problem can be solved in more than one ways. So, many solution algorithms can be derived for a given problem. We analyze available algorithms to find and implement the best suitable algorithm.

Question 5

What are the criteria of algorithm analysis?

Answer 5

An algorithm are generally analyzed on two factors − time and space. That is, how muchexecutiontime and how muchextra spacerequired by the algorithm.

Question 6

What is asymptotic analysis of an algorithm?

Answer 6

Asymptotic analysis of an algorithm, refers to defining the mathematical boundation/framing of its run-time performance. Using asymptotic analysis, we can very well conclude the best case, average case and worst case scenario of an algorithm.

Question 7

What are asymptotic notations?

Answer 7

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm:

• Best case is represented by Ω(n) notation.
• Worst case is represented by Ο(n) notation.
• Average case is represented by Θ(n) notation.

Question 8

What is linear data structure?

Answer 8

A linear data-structure has sequentially arranged data items. The next time can be located in the next memory address. It is stored and accessed in a sequential manner. Array and list are example of linear data structure.

Question 9

What are common operations that can be performed on a data-structure?

Answer 9

The following operations are commonly performed on any data-structure :

• Insertion− adding a data item
• Deletion− removing a data item
• Traversal− accessing and/or printing all data items
• Searching− finding a particular data item
• Sorting− arranging data items in a pre-defined sequence

Question 10

Briefly explain the approaches to develop algorithms.

Answer 10

There are three commonly used approaches to develop algorithms −

• Greedy Approach− finding solution by choosing next best option
• Divide and Conquer− diving the problem to a minimum possible sub-problem and solving them independently
• Dynamic Programming− dividing the problem to a minimum possible sub-problem and solving them combinedly

Question 11

Give some examples greedy algorithms.

Answer 11

The below given problems find their solution using greedy algorithm approach −

• Travelling Salesman Problem
• Prim’s Minimal Spanning Tree Algorithm
• Kruskal’s Minimal Spanning Tree Algorithm
• Dijkstra’s Minimal Spanning Tree Algorithm
• Graph - Map Coloring
• Graph - Vertex Cover
• Knapsack Problem
• Job Scheduling Problem

Question 12

What are some examples of divide and conquer algorithms?

Answer 12

The below given problems find their solution using divide and conquer algorithm approach −

• Merge Sort
• Quick Sort
• Binary Search
• Strassen’s Matrix Multiplication
• Closest pair (points)

Question 13

What are some examples of dynamic programming algorithms?

Answer 13

The below given problems find their solution using divide and conquer algorithm approach −

• Fibonacci number series
• Knapsack problem
• Tower of Hanoi
• All pair shortest path by Floyd-Warshall
• Shortest path by Dijkstra
• Project scheduling

Question 14

What is a linked-list?

Answer 14

A linked-list is a list of data-items connected with links i.e. pointers or references. Most modern high-level programming language does not provide the feature of directly accessing memory location, therefore, linked-list are not supported in them or available in form of inbuilt functions.

Question 15

What is stack?

Answer 15

In data-structure, stack is an Abstract Data Type (ADT) used to store and retrieve values in Last In First Out method.

Question 16

Why do we use stacks?

Answer 16

Stacks follows LIFO method and addition and retrieval of a data item takes only Ο(n) time. Stacks are used where we need to access data in the reverse order or their arrival. Stacks are used commonly in recursive function calls, expression parsing, depth first traversal of graphs etc.

Question 17

What operations can be performed on stacks?

Answer 17

The below operations can be performed on a stack −

• push()− adds an item to stack
• pop()− removes the top stack item
• peek()− gives value of top item without removing it
• isempty()− checks if stack is empty
• isfull()− checks if stack is full

Question 18

What is a queue in data-structure?

Answer 18

Queue is an abstract data structure, somewhat similar to stack. In contrast to stack, queue is opened at both end. One end is always used to insert data (enqueue) and the other is used to remove data (dequeue). Queue follows First-In-First-Out methodology, i.e., the data item stored first will be accessed first.

Question 19

Why do we use queues?

Answer 19

As queues follows FIFO method, they are used when we need to work on data-items in exact sequence of their arrival. Every operating system maintains queues of various processes. Priority queues and breadth first traversal of graphs are some examples of queues.

Question 20

What operations can be performed on Queues?

Answer 20

The below operations can be performed on a stack −

• enqueue()− adds an item to rear of the queue
• dequeue()− removes the item from front of the queue
• peek()− gives value of front item without removing it
• isempty()− checks if stack is empty
• isfull()− checks if stack is full

Question 21

What is linear searching?

Answer 21

Linear search tries to find an item in a sequentially arranged data type. These sequentially arranged data items known as array or list, are accessible in incrementing memory location. Linear search compares expected data item with each of data items in list or array. The average case time complexity of linear search is Ο(n) and worst case complexity is Ο(n2). Data in target arrays/lists need not to be sorted.

Question 22

What is binary search?

Answer 22

A binary search works only on sorted lists or arrays. This search selects the middle which splits the entire list into two parts. First the middle is compared.

This search first compares the target value to the mid of the list. If it is not found, then it takes decision on whether.

Question 23

What is bubble sort and how bubble sort works?

Answer 23

Bubble sort is comparison based algorithm in which each pair of adjacent elements is compared and elements are swapped if they are not in order. Because the time complexity is Ο(n2), it is not suitable for large set of data.

Question 24

Tell me something about ‘insertion sort’?

Answer 24

Insertion sort divides the list into two sub-list, sorted and unsorted. It takes one element at time and finds it appropriate location in sorted sub-list and insert there. The output after insertion is a sorted sub-list. It iteratively works on all the elements of unsorted sub-list and inserts them to sorted sub-list in order.

Question 25

What is selection sort?

Answer 25

Selection sort is in-place sorting technique. It divides the data set into two sub-lists: sorted and unsorted. Then it selects the minimum element from unsorted sub-list and places it into the sorted list. This iterates unless all the elements from unsorted sub-list are consumed into sorted sub-list.

Question 26

How insertion sort and selection sorts are different?

Answer 26

Both sorting techniques maintains two sub-lists, sorted and unsorted and both take one element at a time and places it into sorted sub-list. Insertion sort works on the current element in hand and places it in the sorted array at appropriate location maintaining the properties of insertion sort. Whereas, selection sort searches the minimum from the unsorted sub-list and replaces it with the current element in hand.

Question 27

What is merge sort and how it works?

Answer 27

Merge sort is sorting algorithm based on divide and conquer programming approach. It keeps on dividing the list into smaller sub-list until all sub-list has only 1 element. And then it merges them in a sorted way until all sub-lists are consumed. It has run-time complexity of Ο(n log n) and it needs Ο(n) auxiliary space.

Question 28

What is shell sort?

Answer 28

Shell sort can be said to be a variant of insertion sort. Shell sort divides the list into smaller sublist based on some gap variable and then each sub-list is sorted using insertion sort. In best cases, it can perform upto Ο(n log n).

Question 29

How quick sort works?

Answer 29

Quick sort uses divide and conquer approach. It divides the list in smaller 'partitions' using 'pivot'. The values which are smaller than the pivot are arranged in the left partition and greater values are arranged in the right partition. Each partition is recursively sorted using quick sort.

Question 30

What is a graph?

Answer 30

A graph is a pictorial representation of a set of objects where some pairs of objects are connected by links. The interconnected objects are represented by points termed as vertices, and the links that connect the vertices are called edges.

Question 31

How depth first traversal works?

Answer 31

Depth First Search algorithm(DFS) traverses a graph in a depthward motion and uses a stack to remember to get the next vertex to start a search when a dead end occurs in any iteration.

Question 32

How breadth first traversal works?

Answer 32

Breadth First Search algorithm(BFS) traverses a graph in a breadthwards motion and uses a queue to remember to get the next vertex to start a search when a dead end occurs in any iteration.

Question 33

What is a tree?

Answer 33

A tree is a minimally connected graph having no loops and circuits.

Question 34

What is a binary tree?

Answer 34

A binary tree has a special condition that each node can have two children at maximum.

Question 35

What is a binary search tree?

Answer 35

A binary search tree is a binary tree with a special provision where a node's left child must have value less than its parent's value and node's right child must have value greater than it's parent value.

Question 36

What is tree traversal?

Answer 36

Tree traversal is a process to visit all the nodes of a tree. Because, all nodes are connected via edges (links) we always start from the root (head) node. There are three ways which we use to traverse a tree − - In-order Traversal - Pre-order Traversal - Post-order Traversal

Question 37

What is an AVL Tree?

Answer 37

AVL trees are height balancing binary search tree. AVL tree checks the height of left and right sub-trees and assures that the difference is not more than 1. This difference is called Balance Factor. BalanceFactor = height(left-sutree) − height(right-sutree)

Question 38

What is a spanning tree?

Answer 38

A spanning tree is a subset of Graph G, which has all the vertices covered with minimum possible number of edges. A spanning tree does not have cycles and it can not be disconnected.

Question 39

How many spanning trees can a graph has?

Answer 39

It depends on how connected the graph is. A complete undirected graph can have maximum nn-1 number of spanning trees, where n is number of nodes.

Question 40

How Kruskal's algorithm works?

Answer 40

This algorithm treats the graph as a forest and every node it as an individual tree. A tree connects to another only and only if it has least cost among all available options and does not violate MST properties.

Question 41

How Prim's algorithm finds spanning tree?

Answer 41

Prim's algorithm treats the nodes as a single tree and keeps on adding new nodes to the spanning tree from the given graph.

Question 42

What is a minimum spanning tree (MST)?

Answer 42

In a weighted graph, a minimum spanning tree is a spanning tree that has minimum weight that all other spanning trees of the same graph.

Question 43

What is a heap in data structure?

Answer 43

Heap is a special balanced binary tree data structure where root-node key is compared with its children and arranged accordingly. A min-heap, a parent node has key value less than its childs and a max-heap parent node has value greater than its childs.

Question 44

What is a recursive function?

Answer 44

A recursive function is one which calls itself, directly or calls a function that in turn calls it. Every recursive function follows the recursive properties − base criteria where functions stops calling itself and progressive approach where the functions tries to meet the base criteria in each iteration.

Question 45

What is tower of hanoi?

Answer 45

Tower of Hanoi, is a mathematical puzzle which consists of three tower (pegs) and more than one rings. All rings are of different size and stacked upon each other where the large disk is always below the small disk. The aim is to move the tower of disk from one peg to another, without breaking its properties.

Question 46

What is fibonacci series?

Answer 46

Fibonacci Series generates subsequent number by adding two previous numbers. For example − 0 1 1 2 3 5 8 13.

Question 47

What is hashing?

Answer 47

Hashing is a technique to convert a range of key values into a range of indexes of an array. By using hash tables, we can create an associative data storage where data index can be find by providing its key values.

Question 48

What is interpolation search technique?

Answer 48

Interpolation search is an improved variant of binary search. This search algorithm works on the probing position of required value.

Question 49

What is the prefix and post fix notation of (a + b) * (c + d) ?

Answer 49

Prefix Notation − * + a b + c d Postfix Notation − a b + c d + *