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Introduction

Here is a collection of the best interview Computer Science interview questions and answers, curated by experts in the field, to assist you in succeeding when you appear for computer science job interviews. With the help of the drafted answers, you can confidently face questions related to job positions like Software Developer L2, Software Developer L3, Software Developer L4, Full Stack Developer, and many more like Application Engineer, Support Engineer, etc. and make a good impression at your next interview with companies like Cognizant, Accenture, Wipro, HCL, Infosys, JP Morgan Chase, and others, by being well-prepared with these Computer Science interview questions and answers. Nearly all service-based, and product-based companies ask such questions during the interview for job roles with packages up to 45-60 lakh. So here are the top 60 Computer Science Interview Questions and Answers, 2025 edition. In this article, you will learn about various Computer Science engineering interview questions for freshers, intermediate professionals, and experienced professionals.

Computer Science Interview Questions and Answers 2025
Beginner

1. What is an operating system?

An operating system is a piece of software that controls all the hardware and software resources. It acts as an interface between software and hardware. It serves as a resource manager and hides the hardware's underlying complexity to give users a convenient and effective environment in which they can run their applications smoothly.  

Let’s see various types of operating system: - 

Types of the operating system:  

  • Batch Operating System: These systems don't communicate with computers directly. An operator bundles together similar jobs that have the same needs into batches.  
  • Time-sharing operating System: This kind of operating system enables several users to share computer resources. (Maximum use of the available resources.)  
  • Distributed operating systems: These operating systems control several distinct computers while making them appear to be just one.
  • Network operating system: An operating system that manages data, users, groups, security, applications, and other networking operations is known as a network operating system. It runs on a server.  
  • Real-time operating system: This kind of operating system works with real-time systems, and it has a very short processing and response time window.  
  • Multiprocessing operating system: It is used to increase the performance of several CPUs inside a single computer system. A work can be split and carried out more swiftly by connecting many CPUs together.

2. What is Object Oriented Programming and why we use it?

The definition of an object according to the dictionary is a thing or a thing that is real. Oriented is a verb that means to be interested in a specific sort of item or entity. It is a programming paradigm. 

Object-oriented programming is essentially a philosophy or approach for computer programming that organizes software architecture around data or objects rather than functions and logic.

A data field is referred to as an object if it has distinct characteristics and behavior. In OOP, everything is categorized as self-sustaining objects.

Among developers, it is the most often used programming paradigm. Large, complicated, and actively updated or maintained programs work well with it.

A vehicle is an example of OOP in the real world. It fully exemplifies the effectiveness of object-oriented design.

The foundation of OOP consists of four pillars are: 

Benefits of OOPS:

  • Reuse of code is possible.
  • Code may be readily added to or modified without impacting other code blocks.
  • Offers security through data concealing and encapsulation techniques.
  • Helpful for grouping huge projects into collaborative development projects.
  • Debugging is simple. 

Difference between procedural language and object-oriented language: 

  • Procedural language: A procedural language, commonly referred to as an imperative language, solves problems from the top down. It highlights the step-by-step approach to problem solving and deconstructs the answer into functions, procedures, or subroutines. 
  • Object-oriented language: An object-oriented language, on the other hand, is built on the idea of objects. An object is an instance of a class, which encapsulates data and behaviour. It makes programme creation and maintenance easier due to ease with which we may add code without affecting other code blocks.

3. What are classes and objects?

This is a frequently asked question in Computer Science interviews. Classes and objects are the building blocks of OOP. 

  •  Class

A class is an object's blueprint or template. Member variables, constants and functions, and other functionality are defined in the classes. It connects data and functions as a single entity. At runtime, it doesn't require any memory. Classes are not thought of as data structures.

  •  Objects

An object is a physical thing with characteristics, actions, and qualities. It is also called as a class instance. It includes variables and member functions that we have declared in the class. It takes up room in the memory. 

Keep in mind that while an object can exist without a class, the reverse is not feasible. 

4. What is a Computer Network, Internet, World Wide Web? Differentiate between WWW and the Internet.

  •  Computer Network

A computer network is a collection of linked computing systems that may communicate and share resources. These networked devices communicate data through wireless or physical technologies using a set of guidelines known as communications protocols.

  •  Internet

The internet is a massive, electronically connected network of computers and other devices.

  •  WWW

The World Wide Web is a compilation of all web sites and publications that may be found on the Internet by searching for their URLs (Uniform Resource Locator).

  •  WWW vs Internet

The following are the differences between the internet and the world wide web: The world wide web is where all web pages and documents are kept, and you need a unique URL for each website in order to access it. In contrast, the internet is a vast computer network that can be accessed through the World Wide Web.

WWW
Internet

The world wide web is software-oriented 

The internet is hardware-oriented 

The world wide web uses HTTP 

The internet uses IP addresses 

It is also one of the important general computer science interview questions of Networking that is asked in interview. 

5. What is the difference between Data and Information?

Let’s see what is data and information before actually jumping to their difference. 

Data:

A collection of unprocessed, unstructured facts and information is known as data. Examples include text, observations, figures, symbols, and object descriptions. 

In other words, data is meaningless on its own and does not serve any purpose. 

Additionally, data is expressed in terms of bits and bytes, which are the fundamental units of information used in computer processing and storage. Although data can be captured, it cannot be meaningful without processing it. 

There are two types of data: 

  • Quantitative [Numerical form, E.g., height, weight, length] 
  • Qualitative [Descriptive form, E.g., eye colour of a human] 

Information:

Information is structured and organised data. It gives the data context and makes decision-making possible and make sense to us. Data are analysed and parts of data are interpreted to get information. 

Now, let’s see what is the difference between data and information.

Data vs Information

DataInformation

Data is a collection of facts 

Information places such facts into perspective 

Data is raw and disorganised 

Information is structured 

Each data point is unique and unrelated 

Information depicts that data in order to give a broad overview of how everything fits together 

Data by itself has no value 

Meaningful information is created after it has been studied and understood 

Data is dependent on information 

Information is not dependent on data 

Graphs, numbers, figures, or statistics are the most common visual representations of data 

Normally, information is communicated via words, language, thoughts, and concepts 

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Description

How to Prepare for a Computer Science Interview?

To prepare for a role in the Computer Science domain, here are a few things you need to be thorough with:

  • Computer Fundamentals (OS, DBMS, OOPS, Networking)
  • Data Structures and Algorithms
  • Have at least 2 major projects in your resume related to web dev or android or iOS or ML or anything like it.
  • Low level system design.
  • Good in Aptitude and logical thinking.

Here are some Data Structures that you have to master: -

Array, Vector / ArrayList, Matrix, String, Linked List, Stack, Queue, Deque, Priority Queue, Binary Tree, BST, Heap, Graph, Set, Map, Multi Set, Multi Map, Hash Set, Hash Map, Pairs, Trie, Segment Tree, Fenwick Tree, Sparse Table.

Here are some Algorithms that you have to master: -

Linear & Binary Search, Sorting, Swapping, Two Pointers, Three Pointers, Divide & Conquer, Sliding Window, Number Theory, Modulo Arithmetic, Prefix Sum, Greedy Algorithm, Recursion, Backtracking, Hashing, Dynamic Programming, Bit Manipulation, Kadane’s Algorithm, KMP Algorithm, Rabin Karp Algorithm, Boyer's Moore Algorithm, Z Algorithm, Brian Kernighan’s Algorithm, Sieve of Eratosthenes, Segmented Sieve, HCF & LCM Theorem, Master Theorem, Basic and Extended Euclidean Algorithm, BFS & DFS, Kruskal Algorithm, Prim's Algorithm, Dijkstra Algorithm, Bellman Ford Algorithm, Floyd Warshall Algorithm, Johnson’s Algorithm, Chinese Remainder Theorem, Wilson’s Theorem, Mo’s algorithm, Euler's Theorem, Combinatorics & Catalan Number, Pigeon Hole Principle, Inclusion Exclusion Principle

Here are some websites for practicing Data Structures and Algorithm: -

  • HackerRank
  • HackerEarth
  • Geeks for Geeks
  • Top Coder
  • CodeChef
  • CodeForces
  • LeetCode
  • Interview Bit
  • SPOJ

Now, it’s time to see some popular IDE for you to get started: -

  • Visual Studio Code
  • IntelliJ IDEA
  • Sublime Text
  • PyCharm
  • Atom
  • Eclipse
  • Code Blocks
  • NetBeans
  • Spyder

Let’s see various job roles and companies in which you can apply after preparing computer science interview questions. There are various good companies with great job roles that want knowledge of computer science.

Job Roles

  1. Software Developer: A software developer is one who is responsible for designing, coding, testing, and maintaining software applications.
  2. Full Stack Developer: A full stack developer is a software developer who has expertise in both the front-end and back-end development of web applications.
  3. Backend Engineer: A backend engineer focuses on the server-side development of web applications.
  4. Frontend Engineer: A frontend engineer focuses on the client-side development of web applications.
  5. Android or iOS Developer: An Android or iOS developer is a software developer who specializes in developing applications for either the Android or iOS operating systems.
  6. Application Engineer: An application engineer is responsible for developing, deploying, and maintaining software applications.
  7. DevOps Engineer: A DevOps engineer is responsible for automating and improving the processes used in software development and deployment.
  8. Support Engineer: A support engineer provides technical support to clients and users of software applications.
  9. Senior Software Engineer: A senior software engineer is an experienced software developer who leads projects, provides mentorship to junior developers, and makes important technical decisions.
  10. Software Engineer Intern: A software engineer intern is a junior software developer who is in the process of learning and developing their skills. They typically work on projects under the supervision of senior software engineers, and may assist with coding, testing, and other aspects of software development.

Top Companies

  1. Amazon: Amazon is a multinational technology company based in Seattle, Washington. It was founded by Jeff Bezos in 1994 and initially it is an online bookstore.
  2. Cisco: Cisco Systems, Inc. is an American multinational technology company headquartered in San Jose, California. It was founded in 1984 and is one of the largest networking companies in the world.
  3. Amdocs: Amdocs is a multinational corporation that provides software, services, and solutions to communications, media, and entertainment service providers. It was founded in 1988 and is headquartered in Chesterfield, Missouri.
  4. Meta: Meta is a technology company that provides virtual and augmented reality solutions and products. The company was founded in 2012 and is headquartered in San Mateo, California.
  5. Microsoft: Microsoft is a multinational technology company that is headquartered in Redmond, Washington. It was founded in 1975 by Bill Gates and Paul Allen, and has since grown into one of the largest and most influential technology companies in the world.
  6. Google: Google is an American multinational technology company that specializes in Internet-related services and products. It was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. Google is best known for its search engine, which is one of the most popular and widely used websites in the world.
  7. Apple: Apple Inc. is an American multinational technology company headquartered in Cupertino, California. It was founded in 1976 by Steve Jobs, Steve Wozniak, and Ronald Wayne.
  8. PayPal: PayPal Holdings, Inc. is a global technology company that operates a popular digital payments platform. It was founded in December 1998 as Confinity and later became PayPal, Inc.
  9. DE Shaw: D. E. Shaw & Co., L.P. is a global investment management firm that was founded in 1988 by David E. Shaw. The firm is headquartered in New York City and has additional offices in London, Hong Kong, and other cities around the world.
  10. Salesforce: Salesforce is a customer relationship management (CRM) platform that provides businesses with a suite of cloud-based applications for managing customer information and interactions. It was founded in 1999 and is headquartered in San Francisco, California.

To develop your skills in the field of Computer science, you could check out these Computer Science Courses.

Top Computer Science Interview Preparation Tips

Be it preparing for basic computer science interview questions or technical interview questions computer science, you need hands-on effective tips to prepare for the interview. Here are some common tips to prepare for computer science interview questions:

  • Solve Company tags question on any platform like LeetCode or GeeksforGeeks.
  • Practice Array, String, LinkedList, Tree, Graph, Recursion and DP based questions.
  • Work on your logical and problem-solving skills.
  • Participate in contests on Codechef and Codeforces.
  • Work on your projects.
  • Clear computer science fundamentals i.e., OS, DBMS, OOPS, CN.
  • Set aside some time to prepare for aptitude and low-level design.

What to Expect in a Computer Science Interview?

In an interview with computer science, you can expect that interviewer can ask youtechnical interview questions in computer science like solving Data Structure and algorithm questions, explaining computer science fundamentals, etc. You should be familiar with at least one object-oriented programming language like C++ or Java. You must have the opportunity to discuss your projects and the tech stack you have worked with, and be prepared to answer low-level system design questions because sometimes it is also asked. Be ready to answer computer science behavioral interview questions and managerial questions along with aptitude and have a look at the things that you are added to your resume.

The nature of the interview questions will depend largely on the company you are applying to. For instance, startups may value your dev skills more than your DSA skills or if you applying to product-based companies like Google, Amazon, Microsoft, etc. then your DSA and problem-solving skills may be valued more.

Good Luck with Your Interview!

So far, we have seen computer science fundamentals interview questions related to Operating Systems, Database Management Systems, Computer Networking and OOPs. Apart from technical interview questions, computer science and CS fundamentals interview questions, we have seen how to prepare for a computer science interview, covered some key tips and saw what the interviewer might expect from you. We have covered the most commonly asked basic computer science interview questions as well as advanced CS fundamentals interview questions.

Software engineering is one of the most in-demand and high-paying fields. If you love to solve problems, then coding could be the perfect fit for you.

Now if you want to get trained in programming, you may check out these Computer Programming training courses.

There are many profiles to which you can apply after the course like:

  • Software Developer L2
  • Software Developer L3
  • Software Developer L4
  • Full Stack Developer
  • Backend Engineer
  • Frontend Engineer
  • Android or iOS Developer.

The pay can go from 5 lacks per annum to 80 lacks per annum if you can answer technical interview questions for freshers CSE. According to glassdoor.com, the average base pay for a Software developer is ₹7,00,000 per year. Some of the companies that hire for these roles are Google, Yahoo, Microsoft, Facebook, Adobe, Nokia, etc.

If you are determined to ace your next interview as a Software Engineer, these common computer science interview questions along with interview questions for freshers and CS fundamentals interview questions will fast-track your career.

Prepare well for and go for the interview with confidence and answer as many questions as you can.

Crack your computer science interview with ease and confidence, Thanks for Reading!

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