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BST or Binary Search Tree is a node-based data STRUCTURE in which every node will have two child NODES. Further, each child node must have a leaf or root of another binary search tree. This data structure is base for highly EFFICIENT searching and sorting algorithm and can be UTILIZED to construct abstract data structures including MULTISETS, sets, and associative arrays.

A Binary Tree comes under one of the types of data structure Non-Linear LISTS. In this list, the data elements are not stored sequentially.

In a binary tree, the nodes are connected in a PARTICULAR WAY which makes the search operation of the data very easy. Both the nodes have one or TWO child nodes, creating the branches of the tree. The child nodes on the left are called the left nodes and on the RIGHT are called the right nodes, and the top node is called the Root Node. The number of levels in the binary tree is called the height of the tree.

LINKED List is an ordered collection of the elements of the same TYPE and all the elements, with the HELP of this POINTER, are connected.

There are THREE types of Linked List.

• Singly Linked List
• Doubly Linked List
• Circular Linked List

(A+B)*(C-D)
STEP 1:-(AB+)*(CD-)
STEP 2:-AB+CD-*
The answer is AB+CD-*

Reading our vast question bank will make it EASY for you to crack the data STRUCTURE INTERVIEW questions.

LIFO:- LIFO stands for LAST In First Out. In this method, the last data ELEMENT entered will COME out first.

FIFO:-FIFO stands for First in First Out. In this method, the data element entered first will come out first

Infix, Prefix, and Postfix are the there ways of writing the expressions.

A Queue in the data structure is a linear structure which FOLLOWS a particular order in which all operations to be PERFORMED. The order is First In First Out (FIFO) used in Queue.

STACK comes under one of the types of DATA Structure which is Linear Lists in which the data elements are stored sequentially. In Linear lists, the insertions and DELETIONS of the data elements are easier.

Stack follow a "LIFO" rule which MEANS 'Last In First Out' for storing and retrieving the data, i.e., Last data pushed into the stack will come out first.

There are two primary functions of Stack: Push() & Pop() for inserting and removing the data elements from the stack respectively.

Storage Structure:-The MEMORY that is allocated to a variable or a CONSTANT is stored in the main memory of the computer that is RAM which gets deleted as soon as the function ends. This representation of allocating the memory is CALLED Storage Structure

File Structure:-If you write the data in a file and save that file in the hard disk or any other external device like Pen Drive then the data will remain INTACT till it is deleted manually by the user. This representation of saving the file in an auxiliary or secondary memory is called File Structure

Six types of operations are performed on data structures:-

1. Insertion: Insertion means adding a new record or data element to the data STRUCTURE.

2. Deletion: Deletion means deleting the existing record or the data element from the data structure if the component is present.

3. Searching: Searching means searching the location of the particular data element in a data structure.

4. Traversal: Traversal means accessing each data element in the data structure only once so that the data ELEMENTS can be processed.

5. Sorting: Sorting means arranging data elements of a data structure in a specified order like if the data elements are numerical then in the Ascending or Descending order and if Alphanumeric then in the Dictionary order.

6. MERGING: Merging means Combining the data elements of two similar data structures to form a new data structure which is of the same type.

Note: It supports multiple programming paradigms, such as internal, procedural, object-oriented, and algorithms. Our COLLECTION of data structure questions shall help you to understand the basics of this LANGUAGE.

Data Structure supports in correctly organizing the data in a computer memory DUE to which the data is quickly provided to the processor for the required calculations and this RESULT in the overall increase in the performance of both computer and program. USING the data structure, it is easy to LOCATE and retrieve the MASSIVE amount of data.

It’s a method used to build an EXTENDED binary tree with a minimum weighted path length from a given weight SET. It’s a lossless data compression ALGORITHM.

It’s a set of numbers which starts either from a zero or a ONE and then followed by a one, then PROCEED based on the rule that each number is EQUAL to the sum of the PRECEDING two numbers.

This is a form of graph travelers and refers to a whole process of visiting each node in a tree DATA structure for check and update. The inorder traversals share nodes in nondecreasing order; the preorder traversals are USED to create a copy of the tree and GET prefix expression on of an expression tree, whereas the postorder traversal is required to delete a tree.

Note: Our data structures and algorithms interview questions has been created by EXPERTS. It shall help you to answer some of the most asked questions during a job interview.

The principal difference between a B tree and a B+ tree will be, in a B Tree is CAPABLE of SAVING both keys and data in the LEAF and internal nodes, WHEREAS the B+ can only STORE data in the leaf nodes.

BFS and DFS are two algorithms of the graph data STRUCTURE. DFS algorithm TRAVERSES the graph in a WAY that it TRIES to go far from the root node. Its implementation uses the stack. Compared to this, the BFS algorithm traverses the graph as close as possible to the root node.

It’s a self-balanced BINARY search TREE and first DATA structure to be invented. Here the heights of the TWO child subtrees of any node only differ by at most one. If the difference stands for more than one, REBALANCING is done to restore the property.

It’s a non-linear DATA STRUCTURE which CONSISTS of nodes and edges. The edges are referred to as arcs and lines that connect any two nodes in the GRAPH, whereas the nodes here also referred to as vertices.