Data Structure and Algorithm - Interview Questions & Answers for Freshers.

Top Interview Questions and Answers you need to know as a Freshers

If you are preparing for a Data Structure and Algorithm interview, then you have reached the right place.

Computer Science Engineering is a broad field of study that deals with the Data Structure and Algorithm.

It is a fast-growing field that has many opportunities for career growth. A Data Structure and Algorithm interview is a type of interview that is designed to assess a candidate's knowledge of Computer Science Engineering . The purpose of the interview is to evaluate the candidate's knowledge and deep understanding of subject.

The interview may also assess the candidate's communication skills, such as the ability to present complex information in a clear and concise manner.

The Interview is typically conducted by a hiring manager or recruiter who has experience in the field. The interviewer will typically ask a series of questions about the candidate's background and experience. The interviewer will also ask about the candidate's strengths and weaknesses.

This list of interview questions in Data Structure and Algorithm includes basic-level, advanced-level, and program-based interview questions.

Here are the commonly asked question list of Data Structure and Algorithm (Computer Science Engineering) interview questions and answers that you must prepare for fresher as well as experienced candidates to get your dream job.

1 What is the difference between stack and queue?

Queue is always First In, First Out and Stack is always Last In, First Out

2 What are Data Structures? Write some applications of Data structures?

A data structure is a mechanical or logical way that data is organized within a program. The organization of data is what determines how a program performs. There are many types of data structures, each with its own uses. When designing code, we need to pay particular attention to the way data is structured. If data isn't stored efficiently or correctly structured, then the overall performance of the code will be reduced.

Following are some real-time applications of data structures:

  • Decision Making
  • Genetics
  • Image Processing
  • Blockchain
  • Numerical and Statistical Analysis
  • Compiler Design
  • Database Design and many more