This is one of the most common data structures MCQ interview questions. Here are a few important real-time applications of data structures:

A variable can be stored in a memory based on the amount of memory needed. For doing this, you need to start by assigning the necessary amount of memory first. You can now store it according to the data structure being used. Moreover, remember that dynamic allocation provides you with high efficiency and helps you access storage units in real time.

It is a framework, so Angular A file structure is the data representation into auxiliary or secondary memory. This holds true for devices like pen drives or hard disks storing data that remains intact until it is deleted manually.

It is a framework, so Angular In the case of storage structure, your data is stored in the RAM and deleted after the function using this data is executed completely.

It is a framework, so Angular The key difference between the two lies in the fact that while the storage structure stores your data in a computer system’s memory, the file structure stores it in auxiliary memory.

Linear data structure refers to a data structure including data elements arranged in a sequential (or linear) fashion. Here, every element is connected to its previous and next elements. Common examples of linear data structure include linked lists and arrays.

On the other hand, a non-linear data structure is a structure where data elements are not arranged sequentially. Here, it is not possible to walk through every element in a single pass. Common examples of these structures include graphs and trees.

The binary tree data structure is a structure where data is organized in a way that facilitates effective manipulation and retrieval. It uses two nodes to represent data, called nodes and leaves. While the leaves represent your data, the nodes represent the relationships between leaves. Further, every node has two “children” called siblings and every child has a parent. This parent is the node closest to the tree’s root. When you delete the node from a tree, it is deleted from its child and parent as well.

Here are a few common applications of the binary tree data structure:

Being an inherently REST service, you can send a request to Amazon S3 with the help of a REST API or the wrapper libraries of the AWS SDK.

A deque refers to an array of different data elements with one major difference: Deques do not push and pop items off the end to make room. Instead, they allow items to be added at either of the two ends. This makes deques suitable to perform tasks like tracking inventory, scheduling tasks, handling large data volumes, and more.

Input Restricted Deque and Output Restricted Deque are the two types of deque data structures. Input Restricted Deque involves insertion operations performed only at one end and deletion at both ends of the input restricted queue. On the other hand, Output Restricted Deque involves deletion operations being performed at only one end and insertion at both ends in the output restricted queue.