![]() ![]() What is a queue data structure? What are the applications of the queue?Ī queue is a linear data structure storing elements in a First-In-First-Out (FIFO) manner. Implementing function calls and returnsĥ.It has two primary operations: push (add an element to the top) and pop (remove an element from the top of the stack). What is a stack data structure? What are the applications of a stack?Ī stack is a linear data structure storing elements in a Last-In-First-Out (LIFO) manner. Graphs: A set of edges that connect vertices forms a graph.Ĥ.Trees: a collection of nodes connected by edges, with a root node at the top and leaf nodes at the bottom.Unlike a linear data structure, traversing all aspects in a single pass in a non-linear data structure is almost impossible.įew examples of non-linear data structures: This type of structure is where data elements are not arranged linearly or sequentially. Queues: a group of elements that supports two basic operations: enqueue and dequeue.Stacks: a collection of elements that supports two basic operations: push and pop.Linked lists: a collection of nodes containing a data element and a reference to the next node in the list.Arrays: a collection of elements of the same data type that can be accessed using an index.What are the different types of data structures? Linear Data Structure:Ī structure where data elements are arranged sequentially or linearly, and each element is connected to its previous and next nearest elements. What is an algorithm?Īn algorithm is a set of instructions that describe how to perform a specific task or solve a problem. What is a data structure?Ī data structure is a way to organise and store data in a computer’s memory to be accessed and used efficiently. Data Structures and Algorithms Interview Questions for Beginners 1. So, let’s dive in and explore these questions together. For your convenience, we have also included answers to these questions. In this blog post, we have compiled the 9 fundamental Data Structures and Algorithms interview questions that interviewers typically ask, particularly for beginners. This preparation should begin with studying typically asked questions. To excel in a DSA interview, it’s crucial to prepare thoroughly. Whether you’re aspiring to become a programmer or data scientist, especially in big tech companies, DSA is a must-know topic. A firm grasp of these concepts is essential for success in the field. Data Structures and Algorithms (DSA) are the backbones of software development. ![]()
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