The 25 Most Common Technical Interview Questions

Written by
Michael Guan
Published on
November 15, 2024
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Preparing for a technical interview can be daunting, but having a solid grasp of common questions and their answers can make a world of difference. In this article, we present 25 essential technical interview questions along with detailed answers to help you ace your next interview. Whether you're a seasoned professional or a fresh graduate, these insights will boost your confidence and readiness.

What are Technical interview questions?

Technical interview questions are designed to assess a candidate's knowledge and problem-solving abilities in specific technical domains. These questions often cover topics such as coding, algorithms, data structures, system design, and domain-specific knowledge relevant to the job role. They aim to evaluate both theoretical understanding and practical application skills.

Why do interviewers ask Technical questions?

The main purpose of technical interview questions is to evaluate a candidate's proficiency in relevant technical skills and their ability to solve complex problems. Interviewers ask these questions to gauge both the depth of theoretical knowledge and the practical application of that knowledge in real-world scenarios.

25 Technical interview questions

Here are some essential technical interview questions to help you prepare:

  1. What is a binary search algorithm?
  2. Explain the difference between stack and queue.
  3. How does a hash table work?
  4. What is the time complexity of quicksort?
  5. Describe the concept of recursion.
  6. What is a linked list?
  7. Explain the difference between a process and a thread.
  8. What is a deadlock?
  9. How does garbage collection work in Java?
  10. What is the difference between an abstract class and an interface?
  11. What is polymorphism in object-oriented programming?
  12. Explain the concept of inheritance.
  13. What is a RESTful API?
  14. How does a database index work?
  15. What is the difference between SQL and NoSQL databases?
  16. What is a race condition?
  17. Explain the concept of normalization in databases.
  18. What is a binary tree?
  19. How does the HTTP protocol work?
  20. What is the difference between GET and POST methods in HTTP?
  21. What is a microservice architecture?
  22. Explain the concept of continuous integration.
  23. What is a virtual machine?
  24. What is the difference between synchronous and asynchronous programming?
  25. What is a design pattern?

1. What is a binary search algorithm?

Why you might get asked this: Understanding a binary search algorithm is fundamental for roles that require efficient data handling and problem-solving, such as software engineering or data science.

How to answer:

  • Define the binary search algorithm as a method for finding an item in a sorted array by repeatedly dividing the search interval in half.
  • Explain that it starts with the middle element and compares it to the target value, narrowing down the search to the left or right half accordingly.
  • Mention its time complexity of O(log n), highlighting its efficiency compared to linear search.

Example answer:

"A binary search algorithm is a method for finding an item in a sorted array by repeatedly dividing the search interval in half. It starts with the middle element and compares it to the target value, narrowing down the search to the left or right half accordingly."

This example answer is ideal for a software engineering or data science interview, where demonstrating a clear understanding of efficient data handling and problem-solving techniques is crucial.

2. Explain the difference between stack and queue.

Why you might get asked this: Understanding the difference between stack and queue is fundamental for roles that involve data structure manipulation, such as software development or computer science research.

How to answer:

  • Define a stack as a data structure that follows the Last In, First Out (LIFO) principle.
  • Describe a queue as a data structure that follows the First In, First Out (FIFO) principle.
  • Highlight that stacks are used for tasks like function call management, while queues are used for scheduling processes.

Example answer:

"A stack is a data structure that follows the Last In, First Out (LIFO) principle, meaning the last element added is the first to be removed. In contrast, a queue follows the First In, First Out (FIFO) principle, where the first element added is the first to be removed."

This example answer is ideal for a software development or computer science research interview, where demonstrating a clear understanding of fundamental data structures is essential.

3. How does a hash table work?

Why you might get asked this: Understanding how a hash table works is crucial for roles that require efficient data retrieval and storage, such as software engineering or database management.

How to answer:

  • Define a hash table as a data structure that maps keys to values using a hash function.
  • Explain that the hash function converts the key into an index in an array where the value is stored.
  • Mention that hash tables handle collisions using techniques like chaining or open addressing.

Example answer:

"A hash table is a data structure that maps keys to values using a hash function, which converts the key into an index in an array where the value is stored. It handles collisions using techniques like chaining or open addressing."

This example answer is ideal for a software engineering or database management interview, where demonstrating a clear understanding of efficient data retrieval and storage techniques is crucial.

4. What is the time complexity of quicksort?

Why you might get asked this: Understanding the time complexity of quicksort is essential for evaluating a candidate's knowledge of efficient sorting algorithms, which is crucial in fields like software engineering and data science.

How to answer:

  • Define quicksort as a divide-and-conquer algorithm that sorts by partitioning arrays.
  • Explain that its average-case time complexity is O(n log n) due to efficient partitioning.
  • Mention that its worst-case time complexity is O(n^2) when the pivot selection is poor.

Example answer:

"Quicksort is a divide-and-conquer algorithm that sorts by partitioning arrays. Its average-case time complexity is O(n log n) due to efficient partitioning, but its worst-case time complexity is O(n^2) when the pivot selection is poor."

This example answer is ideal for a software engineering or data science interview, where demonstrating a clear understanding of efficient sorting algorithms is crucial.

5. Describe the concept of recursion.

Why you might get asked this: Understanding the concept of recursion is fundamental for solving complex problems and optimizing algorithms, which is crucial in many technical roles, such as software engineering or data science.

How to answer:

  • Define recursion as a function calling itself to solve smaller instances of the same problem.
  • Explain that it typically includes a base case to terminate the recursive calls.
  • Mention its use in simplifying complex problems like tree traversals and factorial calculations.

Example answer:

"Recursion is a method where a function calls itself to solve smaller instances of the same problem. It includes a base case to terminate the recursive calls, making it useful for tasks like tree traversals and factorial calculations."

This example answer is ideal for a software engineering or data science interview, where demonstrating a clear understanding of recursion and its practical applications is crucial.

6. What is a linked list?

Why you might get asked this: Understanding what a linked list is can demonstrate your knowledge of fundamental data structures, which is essential for many technical roles, such as software development or computer science research.

How to answer:

  • Define a linked list as a linear data structure where elements are stored in nodes, each pointing to the next node.
  • Explain that it allows for efficient insertion and deletion of elements.
  • Mention its types, such as singly linked lists and doubly linked lists.

Example answer:

"A linked list is a linear data structure where elements are stored in nodes, each pointing to the next node. It allows for efficient insertion and deletion of elements, making it useful for dynamic data management."

This example answer is ideal for a software development or computer science research interview, where demonstrating a clear understanding of fundamental data structures is essential.

7. Explain the difference between a process and a thread.

Why you might get asked this: Understanding the difference between a process and a thread is crucial for roles that involve concurrent programming and resource management, such as software engineering or systems administration.

How to answer:

  • Define a process as an independent program with its own memory space.
  • Describe a thread as a smaller unit of a process that shares the same memory space.
  • Highlight that processes are isolated, while threads within the same process can communicate more easily.

Example answer:

"A process is an independent program with its own memory space, while a thread is a smaller unit of a process that shares the same memory space. Processes are isolated, but threads within the same process can communicate more easily."

This example answer is ideal for a software engineering or systems administration interview, where demonstrating a clear understanding of concurrent programming and resource management is crucial.

8. What is a deadlock?

Why you might get asked this: Understanding what a deadlock is can demonstrate your knowledge of concurrent programming and resource management, which is essential for many technical roles, such as software engineering or systems administration.

How to answer:

  • Define a deadlock as a situation where two or more processes are unable to proceed because each is waiting for the other to release resources.
  • Explain that it typically occurs in systems with shared resources and concurrent processes.
  • Mention common strategies to prevent or resolve deadlocks, such as resource allocation algorithms and deadlock detection mechanisms.

Example answer:

"A deadlock is a situation where two or more processes are unable to proceed because each is waiting for the other to release resources. It typically occurs in systems with shared resources and concurrent processes."

This example answer is ideal for a software engineering or systems administration interview, where demonstrating a clear understanding of concurrent programming and resource management is crucial.

9. How does garbage collection work in Java?

Why you might get asked this: Understanding how garbage collection works in Java is crucial for roles that involve memory management and optimization, such as software engineering or Java development.

How to answer:

  • Define garbage collection as an automatic memory management process that reclaims memory occupied by objects no longer in use.
  • Explain that it uses algorithms like mark-and-sweep and generational garbage collection to identify and remove unused objects.
  • Mention that it helps prevent memory leaks and optimizes the performance of Java applications.

Example answer:

"Garbage collection in Java is an automatic memory management process that reclaims memory occupied by objects no longer in use. It uses algorithms like mark-and-sweep and generational garbage collection to identify and remove unused objects, preventing memory leaks and optimizing performance."

This example answer is ideal for a software engineering or Java development interview, where demonstrating a clear understanding of memory management and optimization techniques is crucial.

10. What is the difference between an abstract class and an interface?

Why you might get asked this: Understanding the difference between an abstract class and an interface is crucial for designing flexible and scalable software architectures, which is essential in many technical roles, such as software engineering or application development.

How to answer:

  • Define an abstract class as a class that cannot be instantiated and may contain both abstract and concrete methods.
  • Describe an interface as a contract that defines a set of methods that implementing classes must provide.
  • Highlight that abstract classes can have state (fields), while interfaces cannot.

Example answer:

"An abstract class is a class that cannot be instantiated and may contain both abstract and concrete methods, while an interface is a contract that defines a set of methods that implementing classes must provide. Abstract classes can have state (fields), whereas interfaces cannot."

This example answer is ideal for a software engineering or application development interview, where demonstrating a clear understanding of designing flexible and scalable software architectures is crucial.

11. What is polymorphism in object-oriented programming?

Why you might get asked this: Understanding polymorphism in object-oriented programming is essential for designing flexible and reusable code, which is crucial in many technical roles, such as software engineering or application development.

How to answer:

  • Define polymorphism as the ability of different objects to respond to the same method call in different ways.
  • Explain that it allows for method overriding and method overloading in object-oriented programming.
  • Mention that it enhances code flexibility and reusability by allowing a single interface to represent different underlying forms.

Example answer:

"Polymorphism is the ability of different objects to respond to the same method call in different ways. It allows for method overriding and method overloading, enhancing code flexibility and reusability."

This example answer is ideal for a software engineering or application development interview, where demonstrating a clear understanding of designing flexible and reusable code is crucial.

12. Explain the concept of inheritance.

Why you might get asked this: Understanding the concept of inheritance is fundamental for roles that involve object-oriented programming, as it allows for code reusability and the creation of hierarchical class structures, which is crucial in many technical fields, such as software engineering or application development.

How to answer:

  • Define inheritance as a mechanism where a new class inherits properties and behaviors from an existing class.
  • Explain that it promotes code reusability and establishes a hierarchical relationship between classes.
  • Mention that it allows derived classes to override or extend the functionality of base classes.

Example answer:

"Inheritance is a mechanism where a new class inherits properties and behaviors from an existing class, promoting code reusability and establishing a hierarchical relationship between classes. It allows derived classes to override or extend the functionality of base classes, making it a cornerstone of object-oriented programming."

This example answer is ideal for a software engineering or application development interview, where demonstrating a clear understanding of object-oriented programming principles is crucial.

13. What is a RESTful API?

Why you might get asked this: Understanding what a RESTful API is can demonstrate your knowledge of web services and integration, which is essential for many technical roles, such as software engineering or web development.

How to answer:

  • Define a RESTful API as an application programming interface that adheres to the principles of Representational State Transfer (REST).
  • Explain that it uses standard HTTP methods like GET, POST, PUT, and DELETE for communication.
  • Mention that it allows for stateless interactions and scalable web services.

Example answer:

"A RESTful API is an application programming interface that adheres to the principles of Representational State Transfer (REST). It uses standard HTTP methods like GET, POST, PUT, and DELETE for communication, allowing for stateless interactions and scalable web services."

This example answer is ideal for a software engineering or web development interview, where demonstrating a clear understanding of web services and integration is crucial.

14. How does a database index work?

Why you might get asked this: Understanding how a database index works is crucial for roles that involve optimizing database performance and query efficiency, such as database administration or backend development.

How to answer:

  • Define a database index as a data structure that improves the speed of data retrieval operations on a database table.
  • Explain that it works by creating a separate, smaller data structure that holds the indexed column's values and pointers to the corresponding rows.
  • Mention that while indexes speed up read operations, they can slow down write operations due to the additional overhead of maintaining the index.

Example answer:

"A database index is a data structure that improves the speed of data retrieval operations on a database table by creating a separate, smaller data structure that holds the indexed column's values and pointers to the corresponding rows. While indexes speed up read operations, they can slow down write operations due to the additional overhead of maintaining the index."

This example answer is ideal for a database administration or backend development interview, where demonstrating a clear understanding of optimizing database performance and query efficiency is crucial.

15. What is the difference between SQL and NoSQL databases?

Why you might get asked this: Understanding the difference between SQL and NoSQL databases is crucial for roles that involve database management and data modeling, such as backend development or data engineering, as it helps in choosing the right database solution for specific use cases.

How to answer:

  • Define SQL databases as relational databases that use structured query language for defining and manipulating data.
  • Describe NoSQL databases as non-relational databases designed for flexible data models, often using key-value pairs, documents, or graphs.
  • Highlight that SQL databases are ideal for complex queries and transactions, while NoSQL databases excel in scalability and handling unstructured data.

Example answer:

"SQL databases are relational and use structured query language for defining and manipulating data, making them ideal for complex queries and transactions. In contrast, NoSQL databases are non-relational, designed for flexible data models, and excel in scalability and handling unstructured data."

This example answer is ideal for a backend development or data engineering interview, where demonstrating a clear understanding of database management and data modeling is crucial.

16. What is a race condition?

Why you might get asked this: Understanding what a race condition is can demonstrate your knowledge of concurrent programming and resource management, which is essential for many technical roles; for example, software engineering or systems administration.

How to answer:

  • Define a race condition as a situation where the behavior of software depends on the sequence or timing of uncontrollable events.
  • Explain that it occurs in concurrent systems when multiple processes or threads access shared resources simultaneously.
  • Mention that race conditions can lead to unpredictable behavior and bugs, often requiring synchronization mechanisms to prevent them.

Example answer:

"A race condition is a situation where the behavior of software depends on the sequence or timing of uncontrollable events. It occurs in concurrent systems when multiple processes or threads access shared resources simultaneously."

This example answer is ideal for a software engineering or systems administration interview, where demonstrating a clear understanding of concurrent programming and resource management is crucial.

17. Explain the concept of normalization in databases.

Why you might get asked this: Understanding the concept of normalization in databases is crucial for roles that involve database design and optimization, such as database administration or backend development, as it helps ensure data integrity and efficiency.

How to answer:

  • Define normalization as the process of organizing data in a database to reduce redundancy and improve data integrity.
  • Explain that it involves dividing a database into tables and establishing relationships between them according to rules known as normal forms.
  • Mention that normalization helps in minimizing data anomalies and ensuring efficient data retrieval.

Example answer:

"Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity. It involves dividing a database into tables and establishing relationships between them according to rules known as normal forms."

This example answer is ideal for a database administration or backend development interview, where demonstrating a clear understanding of database design and optimization is crucial.

18. What is a binary tree?

Why you might get asked this: Understanding what a binary tree is can demonstrate your knowledge of fundamental data structures, which is essential for many technical roles; for example, software engineering or computer science research.

How to answer:

  • Define a binary tree as a hierarchical data structure with nodes, each having at most two children.
  • Explain that it consists of a root node and subtrees of left and right children, which are also binary trees.
  • Mention its use in applications like searching, sorting, and hierarchical data representation.

Example answer:

"A binary tree is a hierarchical data structure with nodes, each having at most two children. It consists of a root node and subtrees of left and right children, which are also binary trees."

This example answer is ideal for a software engineering or computer science research interview, where demonstrating a clear understanding of fundamental data structures is essential.

19. How does the HTTP protocol work?

Why you might get asked this: Understanding how the HTTP protocol works is fundamental for roles that involve web development and network communication, as it underpins the functioning of the web and data exchange between clients and servers.

How to answer:

  • Define HTTP as a protocol for transferring hypertext requests and information on the internet.
  • Explain that it operates as a request-response protocol between a client and a server.
  • Mention that it uses methods like GET, POST, PUT, and DELETE to perform different operations.

Example answer:

"HTTP is a protocol for transferring hypertext requests and information on the internet, operating as a request-response protocol between a client and a server. It uses methods like GET, POST, PUT, and DELETE to perform different operations."

This example answer is ideal for a web development or network communication interview, where demonstrating a clear understanding of the HTTP protocol and its operations is crucial.

20. What is the difference between GET and POST methods in HTTP?

Why you might get asked this: Understanding the difference between GET and POST methods in HTTP is crucial for roles that involve web development and API design, as it ensures proper handling of data transmission and security, which is essential for creating efficient and secure web applications.

How to answer:

  • Define GET as a method used to request data from a server without modifying it.
  • Describe POST as a method used to send data to a server to create or update resources.
  • Highlight that GET requests are idempotent and can be cached, while POST requests are not idempotent and cannot be cached.

Example answer:

"GET is a method used to request data from a server without modifying it, making it suitable for retrieving information. POST, on the other hand, is used to send data to a server to create or update resources, ensuring secure data transmission."

This example answer is ideal for a web development or API design interview, where demonstrating a clear understanding of HTTP methods and their appropriate use cases is crucial.

21. What is a microservice architecture?

Why you might get asked this: Understanding what a microservice architecture is can demonstrate your knowledge of modern software design principles, which is essential for many technical roles; for example, software engineering or cloud development.

How to answer:

  • Define microservice architecture as a design approach where an application is composed of small, independent services.
  • Explain that each service is responsible for a specific functionality and communicates with others through APIs.
  • Mention that it allows for scalability, flexibility, and easier maintenance of complex applications.

Example answer:

"Microservice architecture is a design approach where an application is composed of small, independent services, each responsible for a specific functionality and communicating with others through APIs. This allows for scalability, flexibility, and easier maintenance of complex applications."

This example answer is ideal for a software engineering or cloud development interview, where demonstrating a clear understanding of modern software design principles is crucial.

22. Explain the concept of continuous integration.

Why you might get asked this: Understanding the concept of continuous integration is crucial for roles that involve software development and DevOps, as it ensures code quality and facilitates rapid deployment, which is essential for maintaining efficient and reliable software delivery pipelines.

How to answer:

  • Define continuous integration as a development practice where code changes are automatically tested and integrated into a shared repository multiple times a day.
  • Explain that it helps detect and fix integration issues early, improving code quality and reducing the risk of conflicts.
  • Mention that it often involves automated build and test processes to ensure that new code changes do not break the existing codebase.

Example answer:

"Continuous integration is a development practice where code changes are automatically tested and integrated into a shared repository multiple times a day. This helps detect and fix integration issues early, improving code quality and reducing the risk of conflicts."

This example answer is ideal for a software development or DevOps interview, where demonstrating a clear understanding of maintaining efficient and reliable software delivery pipelines is crucial.

23. What is a virtual machine?

Why you might get asked this: Understanding what a virtual machine is can demonstrate your knowledge of virtualization and resource management, which is essential for many technical roles; for example, systems administration or cloud computing.

How to answer:

  • Define a virtual machine as a software emulation of a physical computer.
  • Explain that it runs an operating system and applications just like a physical machine.
  • Mention that it allows for resource isolation and efficient utilization of hardware.

Example answer:

"A virtual machine is a software emulation of a physical computer. It runs an operating system and applications just like a physical machine, allowing for resource isolation and efficient utilization of hardware."

This example answer is ideal for a systems administration or cloud computing interview, where demonstrating a clear understanding of virtualization and resource management is crucial.

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

Why you might get asked this: Understanding the difference between synchronous and asynchronous programming is crucial for roles that involve managing concurrent tasks and optimizing application performance, such as software engineering or web development.

How to answer:

  • Define synchronous programming as a method where tasks are executed sequentially, blocking subsequent tasks until completion.
  • Describe asynchronous programming as a method where tasks can be executed concurrently, allowing other tasks to run before the previous ones complete.
  • Highlight that synchronous programming is simpler but can lead to inefficiencies, while asynchronous programming improves performance and responsiveness.

Example answer:

"Synchronous programming is a method where tasks are executed sequentially, blocking subsequent tasks until completion. Asynchronous programming, on the other hand, allows tasks to be executed concurrently, improving performance and responsiveness."

This example answer is ideal for a software engineering or web development interview, where demonstrating a clear understanding of managing concurrent tasks and optimizing application performance is crucial.

25. What is a design pattern?

Why you might get asked this: Understanding what a design pattern is can demonstrate your knowledge of best practices in software design, which is essential for creating maintainable and scalable applications; for example, in software engineering or application development roles.

How to answer:

  • Define a design pattern as a reusable solution to a common problem in software design.
  • Explain that it provides a template for how to solve a problem that can be used in many different situations.
  • Mention that design patterns help improve code readability, maintainability, and scalability.

Example answer:

"A design pattern is a reusable solution to a common problem in software design. It provides a template for how to solve a problem that can be used in many different situations."

This example answer is ideal for a software engineering or application development interview, where demonstrating a clear understanding of best practices in software design is crucial.

Tips to prepare for Technical questions

Here are some tips to help you excel in technical interview questions:

  • Understand the Fundamentals: Make sure you have a strong grasp of basic concepts in data structures, algorithms, and system design. These are often the foundation of many technical interview questions.
  • Practice Coding Problems: Regularly solve coding problems on platforms like LeetCode, HackerRank, or CodeSignal. This will help you get comfortable with different types of questions and improve your problem-solving speed.
  • Review Past Projects: Be prepared to discuss your previous work experience and projects in detail. Highlight the technical challenges you faced and how you overcame them.
  • Brush Up on Domain-Specific Knowledge: If you're interviewing for a specialized role, make sure you're up-to-date with the latest trends and technologies in that domain. For example, if it's a data science role, review machine learning algorithms and data analysis techniques.
  • Mock Interviews: Participate in mock interviews with peers or use platforms like Pramp or Interviewing.io. This will help you get used to the interview format and receive constructive feedback.

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