Topic
Strings interview questions
All 22 Strings problems from the curated set, easiest first — a core topic for 13 of the 29 engineering roles.
- Easy
- 6
- Medium
- 14
- Hard
- 2
- Sheets
- 3
What Strings is
Updated 2026-09-09A string is an ordered necklace of text characters, like letters printed along a ribbon of paper. Each character sits at an exact numeric slot, holding a glyph such as a letter, punctuation mark, or digit. In many programming languages, ribbons cannot be edited after creation, meaning changing a single character requires pressing an entirely new ribbon from scratch.
When to reach for it
Reach for string techniques when inputs consist of words, DNA sequences, serialized data formats, or sentences. Clues include questions testing palindromes, anagram matches, substring patterns, parenthesis balancing, or character frequency counts. Whenever an algorithm asks to transform capitalization, parse structured tokens, or compute edits between two phrases, string representations are the core subject.
How to think about it
Think of characters as small integer codes ranging across standard character sets. Frequency tables with fixed sizes often replace heavy hash maps when tallying occurrences. For search tasks, maintain rolling state using character indices or sliding borders. When building output text through repeated appends, accumulate pieces inside a mutable list or string builder rather than concatenating strings directly, avoiding quadratic copy overhead.
What each operation costs
| Operation | Time |
|---|---|
| read character by index | O(1) |
| concatenate two strings of total length n | O(n) |
| compare two strings of length n | O(n) |
What usually goes wrong
- Concatenating strings inside a loop using the plus operator, which silently creates full copies on each iteration and turns linear routines into quadratic slowdowns.
- Assuming all characters fall strictly within lowercase English letters without validating spaces, uppercase variants, punctuation marks, or multi-byte unicode symbols.
- Confusing substring length with end index when slicing, causing unexpected off-by-one truncations in languages that take length versus exclusive end position.
Every Strings problem, easiest first
- Valid PalindromeEasy
- Valid AnagramEasy
- Implement strStr()Easy
- Longest Common PrefixEasy
- Roman to IntegerEasy
- Isomorphic StringsEasy
- Longest Substring Without Repeating CharactersMedium
- Longest Repeating Character ReplacementMedium
- Group AnagramsMedium
- Palindromic SubstringsMedium
- Encode and Decode StringsMedium
- Reverse Words in a StringMedium
- Longest Palindromic SubstringMedium
- String to Integer (atoi)Medium
- Count and SayMedium
- Integer to RomanMedium
- Anagram Permutation in StringMedium
- Repeated String MatchMedium
- Rabin Karp AlgorithmMedium
- Z-AlgorithmMedium
- Minimum Window SubstringHard
- KMP Algorithm (Pattern Matching)Hard
Roles that need Strings
If you are targeting one of these, Strings sits early in your path rather than being optional.
Track Strings in your role's order
Pick your target role and all 370 problems resequence to what that interview actually asks. Free.
Start freeStrings interview questions, answered
How many Strings problems should I solve for interviews?
22 curated Strings problems cover the patterns interviews repeat: 6 easy, 14 medium and 2 hard. They are drawn from 3 widely used sheets, deduplicated, and ordered easiest first.
Is Strings actually asked in coding interviews?
Yes, though how much depends on the role. Strings is a core topic for 13 of the 29 engineering roles tracked here, including SDE / Backend Engineer, Frontend Engineer, Full-Stack Developer. For other roles it is lower frequency and belongs later in a study plan.
Which Strings problem should I start with?
Start with Valid Palindrome (Easy). The list on this page is ordered easiest first for that reason, so working top to bottom builds the pattern before the harder variations arrive.
Other topics
Problem set and role mapping as of .