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40+ Must-Know Computer Science Interview Questions and Answers for 2025

Updated on 31 December, 2024

36.73K+ views
16 min read

Did you know that computer science professionals in India have an impressive 78% employability rate? It’s no wonder this field is highly sought after! But landing a job in computer science takes more than just skills and education—you need the ability to ace interviews by applying your knowledge and showcasing smart problem-solving.

Cracking a computer science interview requires a solid understanding of fundamental concepts like programming languages, algorithms, and data structures. Beyond technical skills, you also need the ability to apply them practically to demonstrate you’re job-ready.

If you’re wondering how to prepare for a computer science interview, this blog has got you covered. Explore the top computer science interview questions and answers to help you prepare for the role. Let’s get started!

Learn the skills and knowledge needed to excel in computer science interviews. Enroll in upGrad’s Online Software Development Courses and get ready to land your dream job.

 

Foundational Computer Science Interview Questions and Answers

Foundational-level computer science interview questions and answers cover the essential concepts, including problem-solving techniques, basic programming, and foundational algorithms.

Here are the computer science interview questions and answers focusing on basics.

1. What constitutes a Computer System?

A: A computer system is an integrated set of hardware, software, and data that collectively perform computational tasks. 

It consists of input devices (keyboard, mouse), output devices (monitor, speaker), processing units (CPU), and storage devices (hard disk).

2. How would you describe a Microprocessor?

A: A microprocessor is the central processing unit (CPU) of a computer on a single integrated circuit. It performs logic,  arithmetic, control, and input/output operations needed for computing.

Example: Intel Core i9 is a widely used microprocessor.

3. Can you name the main components of a computing system?

A: The main components of a computing system include the following:

  • Input devices (keyboard, mouse)
  • Output devices (monitor, printer)
  • Central Processing Unit (CPU) for processing data
  • Memory (RAM, ROM) for data storage
  • Storage devices (HDD, SSD)

4. What are some widely used Operating Systems?

A: Operating systems act as an interface between hardware and software resources. Some popular operating systems include Windows, Linux, macOS, and Android.

5. What does SDLC stand for, and what does it involve?

A: SDLC refers to the Software Development Life Cycle. It is a process for planning, developing, testing, and deploying software. The SDLC involves stages like requirement analysis, design, coding, testing, deployment, and maintenance.

6. Name a few well-known computer processors.

A: Some well-known computer processors include the Intel Core series, AMD Ryzen series, and Apple M1/M2 chips. 

Example: The AMD Ryzen 9 processor is known for its high performance in video editing and gaming. 

7. Define a Framework in software development.

A: A framework is a reusable set of libraries and tools that provides a structured method to develop software applications. It consists of best practices and reduces development time.

Example: React is a JavaScript framework used for designing user interfaces in web development.

Also Read: Career in Software Development: 13 Various Job Roles To Choose From

8. What is a File, and why is it essential?

A: A file is a collection of data stored on a computer with a specific name and format. Using files, you can store, organize, and retrieve data.

Example: A .jpg file is used to store images on a computer.

9. How would you explain the concept of Class and Superclass?

A: A class is a template for creating objects in object-oriented programming, defining attributes and methods. A superclass is a parent class from which other subclasses inherit.

Example: In C++, a Vehicle class can be a superclass for Car and Bike subclasses.

10. What role does a Chipset play in a computer?

A: The chipset consists of electronic components that manage data flow between the CPU, memory, and other components. It determines system compatibility and performance.

Example: The Intel Z690 chipset is used in gaming PCs.

11. What does Inheritance mean in programming?

A: Inheritance is a concept in object-oriented programming where one class (subclass) inherits properties and methods from another class (superclass).

Example: In Python, a Car class can inherit from a vehicle class, reusing attributes like fuel type while adding specific traits like model.

Improve your knowledge of key concepts like inheritance and polymorphism. Join the free course on Java Object-oriented Programming.

Now that you’ve covered beginner-level computer science interview questions and answers, let’s move on to intermediate-level topics.

Intermediate Computer Science Interview Questions and Answers For All Experience Levels

The intermediate-level computer science interview questions will focus on key topics like programming languagesalgorithms, and data structures. Here are the computer science interview questions and answers for the intermediate level.

1. What is a Destructor in programming?

A: A destructor is a special method in object-oriented programming that is invoked automatically when an object is destroyed. It is used to release computer resources like memory, file handles, or database connections.

Example: Using destructor to destroy a class in c++.

class Example {
    ~Example() {
        cout << "Object destroyed";
    }
};

2. Why is a Byte Stream used in computing?

A: A byte stream transfers binary data, such as files or multimedia, between programs or systems. Its role is to provide efficient and accurate transmission of raw data.

Example: Implementing byte streams in Java using classes like FileInputStream and FileOutputStream.

FileInputStream fis = new FileInputStream("input.txt");
int data = fis.read();

3. How do you differentiate between a Method and a Constructor?

A: Here’s the difference between a method and a constructor.

Method Constructor
The role is to perform a specific action in a class. Initializes an object’s state.
It can have any name. The name must be the same as the class.
Has return type (e.g., void) No return type
It can be called explicitly using an object. Called automatically when an object is created.
Not provided by default A default constructor is provided if not defined.

Example: Method and constructor in Java

class Car {
    Car() { // Constructor
        System.out.println("Car object created");
    }
    void start() { // Method
        System.out.println("Car started");
    }
}

Also Read: Constructors in Python [Guide]

4. What is a Programming Language, and what are some examples?

A: A programming language is a formal set of instructions used to create software and control hardware. It provides syntax and semantics for writing computer programs.

Example: C, C++, R, Swift, and Ruby.

Also Read: Top 20 Programming Languages of the Future

5. What is the purpose of Cryptography?

A: The main purpose of cryptography is to convert information into an unreadable format, to ensure confidentiality, integrity, and authenticity. Techniques like data encryption are used for this purpose.

Example: AES (Advanced Encryption Standard) is a cryptographic algorithm used for securing sensitive data.

Also Read: Cryptography in Cybersecurity: Definition, Types & Examples

6. How would you define an Algorithm?

A: An algorithm is a step-by-step set of rules for solving a problem or performing a task. It is independent of language and instead focuses on logic and efficiency.

Example: QuickSort is an algorithm that arranges a list of objects in ascending or descending order.

7. What does the term World Wide Web refer to?

A: The World Wide Web refers to a system of interlinked hypertext documents and resources accessible through the Internet using web browsers.

Prepare to tackle web development interview questions with confidence. Join the Full Stack Development Bootcamp course to build a strong foundation in web development.

Now that you’ve covered intermediate-level computer science interview questions, let’s move on to expert-level topics.

Expert-Level Computer Science Interview Questions and Answers

Expert-level computer science interview questions will cover topics such as complex algorithms, system design, and handling large-scale applications. They are designed for individuals with advanced knowledge in computer science.

Here are the computer science interview questions and answers for expert professionals.

1. What do you understand by the Internet?

A: The Internet is a global network of interconnected computers that communicate using standard protocols such as TCP/IP. It provides sharing of information, resources, and services like email and online storage.

2. What do you mean by a Deadlock?

A: deadlock is a situation in a multi-process environment where two or more processes are waiting for resources held by each other. This prevents further progress and causes the system to halt.

Example: Consider a situation where there are two threads (Thread A and Thread B) and two resources (Resource 1 and Resource 2). 

Thread A locks Resource 1 and waits for Resource 2 to complete its task. At the same time, Thread B locks Resource 2 and waits for Resource 1 to complete its task. This creates a deadlock.

3. What distinguishes a Thread from a Process?

A: Here’s the difference between a thread and a process.

Thread Process
A unit of execution within a process. An independent program under execution.
Shares memory space with other threads. Has its own memory space.
Communication through shared memory. Communication through inter-process communication (IPC).
Depends on the parent process. Independent of other processes.
Example: Multiple threads in a web browser handle tabs. Example: Multiple processes for applications like Excel and Word.

4. What is meant by Primary Memory?

A: Primary memory (main memory) is the computer's memory that is used for temporarily storing data that is actively being processed. It consists of RAM (Random Access Memory) and cache.

Example: While editing a document, the unsaved changes are stored in RAM.

5. What are the differences between an Interpreter and a Compiler?

A: Here’s the difference between an interpreter and a compiler.

Interpreter Compiler
Executes the code line by line.  Converts entire code into machine language before execution.
The process is slower due to interpretation in real-time. The process is faster as the code is pre-compiled.
Detects errors line by line during execution. Error is detected after the entire code is compiled.
Used for scripting languages like Python. Used for system programming languages like C++.
No separate file is created for the machine code. Creates an executable file.

6. What types of Access Modifiers are there?

A: Access modifiers are used to determine the visibility and accessibility of classes, methods, and variables. Here are the different types of access modifiers.

  • Public: Accessible from anywhere (e.g., public int age;).
  • Private: Accessible only within the class (e.g., private String name;).
  • Protected: Accessible within the same package and by subclasses (e.g., protected void display();).
  • Default (Package-Private): Accessible only within the same package (e.g., int count;).

7. What is the difference between a stack and a queue in data structures?

A: Here’s the difference between a stack and a queue.

Stack Queue
Linear data structure following LIFO (Last In, First Out). Linear data structure following FIFO (First In, First Out).
Insertions and deletions occur at one end (top). Insertions at the rear and deletions at the front.
Operations include push (insert), pop (remove), peek (view top). Operations include enqueue (insert), dequeue (remove), peek (view front).
It can be visualized as a stack of plates. Can be visualized as a queue of people

8. Can you explain the concept of Big-O notation and its importance in algorithm analysis?

A: Big-O notation describes the time complexity or space complexity of an algorithm in terms of input size n. It provides an upper limit on the algorithm's performance, helping evaluate scalability.

Example: For a simple loop iterating n times, the time complexity is O(n).

9. What is the role of a Database Management System (DBMS) in software development?

A: Database Management System (DBMS) is used to manage data storage, retrieval, and manipulation efficiently. Here’s the role of DBMS.

  • Organizes data using schemas, tables, or indexes.
  • Enforces constraints on data to maintain accuracy.
  • Handles multiple users accessing data simultaneously.
  • Ensures safety of data safety during failures.
  • Provides high-level query languages (e.g., SQL).

10. How do you handle exception handling in programming languages like Java or Python?

A: In Java, you can use try-catch blocks to handle exceptions. In Python, use try-except blocks.

Example: Exception handling in Python:

try:
    result = 10 / 0
except ZeroDivisionError:
    print("Cannot divide by zero.")

Exception handling in Java:

try {
    int result = 10 / 0;
} catch (ArithmeticException e) {
    System.out.println("Cannot divide by zero.");
}

11. What are the key differences between TCP and UDP protocols?

A: Here are the differences between TCP and UDP protocols.

TCP UDP
Based on connection Connectionless.
Reliable  Unreliable 
Slower due to error checking. Comparatively faster as it does not involve error checking.
Error checking using built-in mechanisms like checksum. Minimal error checking.
Example: Web browsing and email.  Example: Video streaming.

12. Explain the concept of Virtual Memory and how it works in an operating system.

A: Virtual memory enables an operating system to use disk space as an extension of RAM. Here’s how it works.

  • Data is divided into pages and stored in physical memory (RAM) or disk (swap space).
  • When data is not present in RAM, a page fault occurs, and the required page is fetched from the disk.

Example: Virtual memory allows a 4 GB RAM system to run a 6 GB application. 

13. What is the difference between synchronous and asynchronous programming?

A: Here’s how synchronous and asynchronous programming differs.

Synchronous Programming Asynchronous Programming
Sequential execution of tasks. Tasks are independently executed.
A task must be completed before the next starts. Tasks can run simultaneously.
Slower for I/O operations. Faster for I/O and network operations.
Example: Reading files line by line synchronously. Example: Using callbacks for file reads.

14. What is the function of a DNS (Domain Name System)?

A: The function of a DNS is to translate human-readable domain names (e.g., www.example.com) into IP addresses (e.g., 192.168.1.1).

Example: When accessing amazon.com, DNS resolves it to Amazon’s IP.

15. Can you explain the process of normalization in database design?

A: Normalization in database design reduces redundancy and improves data integrity. Here’s the process of normalization.

  • 1NF: Removes duplicate columns.
  • 2NF: Removes partial dependencies on the primary key.
  • 3NF: Removes transitive dependencies.

Example: Storing customer and order data separately ensures changes to customer details don’t affect orders.

16. What is the difference between static and dynamic binding in object-oriented programming?

A: Here’s how static and dynamic binding differ.

Static Binding Dynamic Binding
Resolved at compile-time. Resolved at runtime.
Associated with overloaded methods. Associated with overridden methods.
Does not involve polymorphism. Involves runtime polymorphism.
Faster due to compile-time resolution. Slower due to runtime method resolution.
Used in Simple method calls. Used for dynamic behavior in subclassing.

17. What is the purpose of a Binary Search Tree (BST)?

A:Binary Search Tree (BST) is a data structure that allows efficient search, insert, and delete operations. Here is the purpose of a BST.

  • Search efficiently
  • Sort and store data
  • Handle data dynamically
  • Support range queries.

Now that you’ve tackled expert-level computer science interview questions and answers, let’s explore some practical questions.

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Practical Computer Science Interview Questions You Should Prepare For

Practical computer science interview questions cover advanced computer science topics, such as Java programming concepts, protocols like HTTP, and cloud computing.

Here are some practical computer science interview questions and answers.

1. Explain the concept of Polymorphism with an example.

A: Polymorphism is an object-oriented programming concept that allows a single interface or function to operate on different types or classes. 

It allows objects of different classes to be treated as instances of a parent class while executing their specific implementations of overridden methods or behaviors.

Example:

class Animal {
    void sound() {
        System.out.println("Animal makes a sound");
    }
}

class Dog extends Animal {
    void sound() {
        System.out.println("Dog barks");
    }
}

class Cat extends Animal {
    void sound() {
        System.out.println("Cat meows");
    }
}

public class Main {
    public static void main(String[] args) {
        Animal a = new Dog(); // Polymorphism
        a.sound(); // Output: Dog barks
    }
}

Also Read: Polymorphism in Java: Concepts, Types, Characteristics & Examples

2. What is the difference between HTTP and HTTPS?

A: Here’s the difference between HTTP and HTTPS.

HTTP HTTPS
HyperText Transfer Protocol HTTP with Secure Sockets Layer (SSL)
Data sent in plain text Data sent after encrypting
Port 80 is used by default Port 443 is used by default 
SSL/TLS certificate is not required Requires an SSL/TLS certificate.
Ideal for non-sensitive data transmission. Suitable for sensitive data like login. 
Faster due to non-encryption. Comparatively slower due to encryption.

3. How would you implement Bubble Sort in any programming language?

A: Bubble sort is a type of sorting algorithm that repeatedly compares and swaps adjacent elements if they are in the wrong order.

Example: 

def bubble_sort(arr):
    n = len(arr)
    for i in range(n):
        for j in range(0, n-i-1):
            if arr[j] > arr[j+1]:
                arr[j], arr[j+1] = arr[j+1], arr[j]
    return arr

arr = [64, 34, 25, 12, 22, 11, 90]
print("Sorted array:", bubble_sort(arr))

Also Read: Sorting in Data Structure: Categories & Types [With Examples]

4. What are the main features of Object-Oriented Programming (OOP)?

A: Here are the main features of Object-oriented programming.

  • Encapsulation: Wrapping data and methods in a single unit (class).
  • Inheritance: Reusing and extending existing classes.
  • Abstraction: Hiding implementation details and showing only functionality.
  • Polymorphism: Using a single interface for multiple functionalities.

Also Read: Abstraction vs Encapsulation: Difference Between Abstraction and Encapsulation

5. Describe how Garbage Collection works in Java.

A: Garbage Collection (GC) in Java automatically releases memory by removing objects no longer referenced in the program. 

Example:

class Example {
    public static void main(String[] args) {
        Example obj = new Example();
        obj = null; // Eligible for GC
        System.gc(); // Suggests GC execution
    }
    protected void finalize() {
        System.out.println("Object is garbage collected.");
    }
}

6. What are the different types of Data Structures, and where are they used?

A: Here are the different types of data structures.

Type Uses Example
Arrays Storing elements of the same type. Storing height of students.
Linked Lists Used in dynamic memory allocation. Undo operation in text editors.
Stacks Used for backtracking.  Browser history
Queues Used in task scheduling. Customer service waiting
Trees  Storing hierarchical data File systems
Graphs Used for network modeling Social networking

7. What are the advantages of Cloud Computing for businesses?

A: The advantages of cloud computing include scalability, flexibility, cost efficiency, and enhanced collaboration for businesses. It allows access to resources on demand and removes the need for on-premise infrastructure.

Example: Using cloud infrastructure like AWS to host applications avoids upfront hardware costs.

Also Read: How to Learn Cloud Computing in 2025: 5 Proven Steps to Master the Skills and Advance Your Career

8. How does Machine Learning integrate with software development?

A: Machine learning improves the software development process by automating complex tasks and enhancing user experience. Integration is carried out through frameworks like TensorFlow or libraries like scikit-learn.

Example: E-commerce applications like Amazon use machine learning algorithms to suggest products based on user behavior.

Looking to excel in computer science interview questions on machine learning? Enroll in the free course on Fundamentals of Deep Learning and Neural Networks to strengthen your basics and boost your confidence!

Now that you’ve reviewed practical computer science interview questions, let’s explore some tips to help you succeed in your interview.

Smart Tips for Cracking Computer Science Interviews

You can tackle computer science interview questions with the right mix of technical knowledge, problem-solving skills, and effective communication. Here are some tips to crack the interview.

  • Understand the Job Requirements

Before attending the interview, read the job description to identify the core technologies and skills required. For example, if the job requires Django, focus on preparing for web development questions.

  • Refresh Core Subjects

Make sure you revise computer science fundamentals like algorithms, data structures, operating systems, and databases. For example, be ready to write SQL queries to fetch data using joins.

  • Strengthen Problem-Solving Skills

Practice coding problems on platforms like HackerRank. For example, practice commonly asked problems like Knapsack or Dijikstra’s algorithm.

Learn how to demonstrate your problem-solving skills in interviews. Join the free course on Complete Guide to Problem Solving Skills.

 

  • Prepare Behavioral Responses

Be ready to answer questions related to teamwork, leadership, or conflict resolution. For example, you can answer how you worked with your team members to solve a bug in a short duration of time.

  • Keep Up with Trends

Be updated with the latest trends in computer science, such as artificial intelligence and cyber security. For example, learn how to use TensorFlow for data analytics.

  • Practice Interview

Take mock interviews with the help of peers and online platforms to gain confidence. For example, conduct a virtual mock interview using AI to simulate the conditions.

  • Upskill with Courses

Improve your skills by enrolling in online courses. This will help you stay competitive. For example, upGrad’s free course on Introduction to Data Analysis using Excel.

 

Now that you’ve learned tips to crack interview, let’s explore ways to enhance your computer science knowledge.

Enhance Your Computer Science Expertise with upGrad

Cracking a computer science interview requires a strong knowledge of concepts and excellent problem-solving skills. While exploring the interview questions and answers is a great starting point, real success comes from building a deep understanding of the subject matter.

To help you achieve this, upGrad offers reliable online courses on core computer science concepts like Java, SQL, PHP, and Machine Learning. These programs provide practical experience, expert guidance, and practical projects to enhance your knowledge and confidence.

Here are some courses offered by upGrad in computer science concepts.

Do you need help deciding which courses can help you excel in computer science? Contact upGrad for personalized counseling and valuable insights. For more details, you can also visit your nearest upGrad offline center.

Boost your career with our popular Software Engineering courses, offering hands-on training and expert guidance to turn you into a skilled software developer.

Master in-demand Software Development skills like coding, system design, DevOps, and agile methodologies to excel in today’s competitive tech industry.

Stay informed with our widely-read Software Development articles, covering everything from coding techniques to the latest advancements in software engineering.

References:
https://www.entrepreneur.com/en-in/growth-strategies/indian-graduates-employability-rate-reaches-5481-per/484203?utm_source=chatgpt.com

Frequently Asked Questions (FAQs)

1. What are the four areas of computer science?

The four key areas of computer science are theory of computation, programming languages, algorithms and data structures, and computer systems.

2. How to prepare for a computer science interview?

Focus on core subjects like algorithms, data structures, and system design. Practice coding problems and prepare for behavioral questions.

3. Are computer science interviews hard?

Interviews can be challenging due to technical problem-solving and conceptual questions but are manageable with practice.

4. What is computer science?

Computer science is the study of computation, algorithms, data structures, and systems to solve problems.

5. Who is the father of computer science?

Alan Turing is considered the father of computer science for his work in computation and AI.

6. What is an algorithm?

An algorithm is a set of instructions used for solving a problem or performing a task efficiently.

7. What is a stack data type?

A stack is a LIFO (Last In, First Out) data structure where elements are added and removed from the top.

8. What is meant by an array?

An array is a collection of elements of the same type stored in contiguous memory locations.

9. What is a variable in programming?

A variable is a named storage location in a program that stores data values.

10. What is meant by pseudo code?

Pseudo code is a high-level, plain-language description of an algorithm or program logic used for designing a code.

11. What is a compiler?

A compiler converts source code written in a programming language into machine code for execution.

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