Commonly Asked Data Structure Interview Questions on Strings
Last Updated :
28 Feb, 2025
Strings are essential data structures used to represent sequences of characters and are frequently encountered in coding interviews. Questions often focus on string manipulation techniques such as searching, concatenation, reversal, and substring extraction. Understanding key algorithms like pattern matching and edit distance is crucial. Mastering these concepts can help you effectively tackle string-related problems in interviews, showcasing your problem-solving abilities and algorithmic knowledge.
Theoretical Questions for Interviews on Strings
1. What is a string in programming?
A string is a sequence of characters, typically used to represent text in programming. In most languages, strings are either mutable or immutable, and they are usually stored as arrays of characters.
2. What is the difference between a character array and a string?
A character array is a collection of characters that can be modified, whereas a string is an abstract data type used to represent text, and in many languages, it may be immutable.
3. What is the time complexity of accessing a character in a string?
Accessing a character in a string is typically O(1), assuming the string is stored in a contiguous block of memory (like an array).
4. What is a substring, and how does it differ from a subsequence of a string?
A substring is a contiguous block of characters within a string, while a subsequence is a sequence derived from the string by deleting some or no characters, but the remaining characters must appear in the same order.
5. How do you reverse a string?
Reversing a string can be done by swapping the characters from both ends of the string until you reach the middle. This can be implemented using two pointers.
6. How would you find the length of a string without using built-in functions?
You can find the length of a string by iterating through each character until you encounter a null-terminating character ('\0'
in C) or by counting the characters in the string.
7. What is the difference between string concatenation and string interpolation?
String concatenation is the process of joining two or more strings using operators, while string interpolation involves embedding variables or expressions within a string using special syntax.
8. What is a string buffer and how is it different from a string?
A string buffer (or StringBuilder
in Java) is a mutable sequence of characters. Unlike strings, which are immutable, string buffers allow for modification without creating new objects, making them more efficient for frequent modifications.
9. What is the difference between a mutable and immutable string?
A mutable string can be modified after it's created (like in Python with list
or C++'s std::string
), while an immutable string cannot be changed once created (like in Java's String
class or Python's str
). Immutable strings provide better security and thread safety.
10. What is the purpose of the Knuth-Morris-Pratt (KMP) algorithm?
The KMP algorithm is used for pattern matching. It improves on the naive approach by avoiding unnecessary comparisons by preprocessing the pattern to create a "partial match" table (also known as the "prefix" table).
11. Explain the concept of "palindrome" and how you would check if a string is palindrome.
A palindrome is a string that reads the same backward as forward (e.g., "madam"). To check if a string is a palindrome, compare characters from the beginning and end, moving towards the center.
12. What is the time complexity of searching for a character in a string?
Searching for a character in a string is generally O(n), where n is the length of the string, because we may need to traverse the entire string in the worst case.
Top Coding Interview Questions on Strings
The following list of 50 strings coding problems covers a range of difficulty levels, from easy to hard, to help candidates prepare for interviews.
Top 50 String Coding Problems for Interviews
Similar Reads
Commonly Asked Data Structure Interview Questions on Sorting
Sorting is a fundamental concept in computer science and data structures, often tested in technical interviews. Sorting algorithms are essential for organizing data in a specific order, whether it's ascending or descending. Understanding various sorting techniquesâlike Quick Sort, Merge Sort, Bubble
4 min read
Commonly Asked Data Structure Interview Questions on Searching
Searching is a fundamental concept in computer science, involving the process of finding a specific element in a collection of data. Efficient searching techniques are crucial for optimizing performance, especially when dealing with large datasets. Theoretical Questions for Interviews on Searching1.
3 min read
Commonly Asked Data Structure Interview Questions on Stack
Stacks are a fundamental data structure used in many real-world applications, including expression evaluation, function call management, and backtracking algorithms. A stack follows the Last In, First Out (LIFO) principle, meaning the last element added is the first to be removed. Understanding stac
5 min read
Commonly Asked Data Structure Interview Questions
To excel in a Data Structure interview, a strong grasp of fundamental concepts is crucial. Data structures provide efficient ways to store, organize, and manipulate data, making them essential for solving complex problems in software development.Interviewers often test candidates on various data str
6 min read
Commonly Asked Data Structure Interview Questions on Array
Arrays are one of the most fundamental data structures in computer science.It allows for efficient access to elements using an index, which is particularly useful for applications that involve large amounts of data or require quick retrieval of items.Array elements (in C, C++ and Java Primitives) or
7 min read
Commonly Asked Data Structure Interview Questions on Hashing
Hashing is a technique to map data to fixed-size values using a hash function, often used for quick lookups, insertions, and deletions in applications like databases and caches. The core concept behind hashing is to map large data to smaller fixed-size values, typically integers, through a hash func
4 min read
Commonly Asked Data Structure Interview Questions on Matrix
A Matrix can be considered as array of arrays or 2D array. We use matrix data structure to store two dimensional data.Theoretical Questions for Interviews on Matrix1. What is the difference between row-major and column-major order in matrix representation? In row-major order, elements in the same ro
4 min read
Commonly Asked Data Structure Interview Questions on Linked List
Unlike arrays, which are stored in contiguous memory locations, linked lists consist of nodes, where each node contains data and a reference (or link) to the next node in the sequence. This structure provides advantages in terms of dynamic size, easy insertion, and deletion of elementsTheoretical Qu
5 min read
Commonly Asked Algorithm Interview Questions
For tech job interviews, knowing about algorithms is really important. Being good at algorithms shows you can solve problems effectively and make programs run faster. This article has lots of common interview questions about algorithms. Commonly Asked Algorithm Interview Questions Table of Content C
15+ min read
Top 50 Problems on Hash Data Structure asked in SDE Interviews
Hashing is a technique or process of mapping keys, and values into the hash table by using a hash function. It is done for faster access to elements. The efficiency of mapping depends on the efficiency of the hash function used. To learn more about hashing and hashmaps, please refer to the Tutorial
3 min read