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Top 50 Most Frequently Asked String Coding Problems for Interviews

Raj Verma
53 Views
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Strings are one of the most common topics in coding interviews because they combine data structure knowledge, algorithmic thinking and real-world scenarios (search, validation, parsing, compression).

The key to cracking them? Pattern recognition. Most problems fall into common categories like two-pointers, sliding window, hashing, dynamic programming or backtracking.

This blog lists the Top 50 String Problems with clear descriptions + topic hints so you know exactly what the problem is and which approach to apply.

Use this as your study roadmap + tracking checklist .

1–10: String Basics & Manipulation

  1. Reverse a String – Given a string, reverse its characters (without using built-in reverse).
     Topic Hint: Two-pointer or stack basics.

  2. Check Palindrome String – Verify if a string reads the same forward and backward (e.g., “madam”).
     Topic Hint: Two-pointer comparison.

  3. Find First Non-Repeating Character – Return the first character that doesn’t repeat in the string.
     Topic Hint: Hash map frequency counting.

  4. Count Vowels & Consonants – Count how many vowels and consonants exist in the string.
     Topic Hint: Iteration + character classification.

  5. Anagram Check – Check if two strings are rearrangements of each other.
     Topic Hint: Sorting or hash map frequency.

  6. Group Anagrams – Group strings that are anagrams of each other.
     Topic Hint: Hash map with sorted signature or frequency map.

  7. Longest Common Prefix – Find the longest shared prefix among a list of strings.
     Topic Hint: Sorting + prefix checking.

  8. Remove Duplicates from String – Remove duplicate characters (e.g., “banana” → “ban”).
     Topic Hint: Hash set or stack.

  9. Check Rotation of Another String – Check if one string is a rotation of another.
     Topic Hint: Concatenation + substring search.

  10. String Compression – Compress repeated characters (e.g., “aaabb” → “a3b2”).
     Topic Hint: Run-length encoding logic.

11–20: Substring & Subsequence Problems

  1. Longest Substring Without Repeating Characters – Find the longest substring with all unique characters.
     Topic Hint: Sliding window + hash map.

  2. Minimum Window Substring – Smallest substring containing all characters of a target string.
     Topic Hint: Sliding window with frequency maps.

  3. Longest Palindromic Substring – Find the longest palindromic substring.
     Topic Hint: Expand-around-center or DP.

  4. Count All Palindromic Substrings – Count all palindromic substrings in a string.
     Topic Hint: DP or center expansion.

  5. Longest Common Subsequence – Longest subsequence present in both strings.
     Topic Hint: Classic DP.

  6. Longest Repeating Subsequence – Longest subsequence appearing more than once.
     Topic Hint: DP with index constraints.

  7. Edit Distance (Levenshtein) – Minimum operations to convert one string to another.
     Topic Hint: DP (insertion, deletion, replacement).

  8. Check Subsequence – Check if one string is a subsequence of another.
     Topic Hint: Two-pointer traversal.

  9. Smallest Window Containing All Characters – Find the shortest substring containing all unique characters.
     Topic Hint: Sliding window technique.

  10. Find All Subsequences of a String – Generate all subsequences.
     Topic Hint: Recursion/backtracking.

21–30: Pattern Matching & Searching

  1. Rabin-Karp Algorithm – Search for a substring using rolling hash.
     Topic Hint: Hashing + sliding window.

  2. KMP Algorithm – Pattern matching using prefix function.
     Topic Hint: Prefix table preprocessing.

  3. Z-Algorithm for String Matching – Preprocess Z-array for fast substring search.
     Topic Hint: Linear preprocessing technique.

  4. Wildcard Matching – Match string against ? and *.
     Topic Hint: DP on pattern and string.

  5. Regular Expression Matching – Match with regex symbols . and *.
     Topic Hint: Hard-level DP.

  6. Implement strstr() – Implement substring search function manually.
     Topic Hint: Naïve search or KMP.

  7. Count Pattern Occurrences in String – Count how many times a pattern appears.
     Topic Hint: KMP/Z algorithm.

  8. Word Break Problem – Check if string can be segmented into dictionary words.
     Topic Hint: DP with hash set.

  9. Longest Prefix Suffix (LPS) – Longest prefix that is also a suffix.
     Topic Hint: KMP preprocessing array.

  10. Find All Anagrams in String – Return indices of substrings that are anagrams of target.
     Topic Hint: Sliding window + frequency map.

31–40: Advanced String Handling

  1. Convert String to Integer (atoi) – Convert string to integer with edge cases.
     Topic Hint: Parsing + boundary handling.

  2. Longest Repeated Substring – Find longest substring appearing at least twice.
     Topic Hint: Suffix array/trie.

  3. Shortest Palindrome – Make string palindrome by adding characters at front.
     Topic Hint: KMP trick + string reversal.

  4. Word Ladder Problem – Transform one word to another with minimal steps.
     Topic Hint: BFS on dictionary graph.

  5. Palindrome Partitioning – Partition string into all possible palindromic substrings.
     Topic Hint: Backtracking + DP.

  6. Valid Parentheses String – Validate if parentheses string is balanced.
     Topic Hint: Stack-based matching.

  7. Remove Invalid Parentheses – Remove minimum invalid parentheses.
     Topic Hint: BFS/backtracking.

  8. Longest Valid Parentheses – Longest valid parentheses substring.
     Topic Hint: DP or stack.

  9. Decode Ways (A=1, B=2) – Number of ways to decode numeric string.
     Topic Hint: Recursion + DP.

  10. Generate All Balanced Parentheses – Generate all valid combinations of parentheses.
     Topic Hint: Backtracking.

41–50: Real-World String Applications

  1. Roman to Integer – Convert Roman numeral to integer.
     Topic Hint: Mapping + traversal.

  2. Integer to Roman – Convert integer to Roman numeral.
     Topic Hint: Greedy + mapping.

  3. Excel Column Title → Number – Convert Excel column title to number.
     Topic Hint: Base-26 conversion.

  4. Number → Excel Column Title – Reverse conversion of numbers to Excel columns.
     Topic Hint: Division + modulo math.

  5. License Key Formatting – Format string into groups with dashes.
     Topic Hint: String manipulation.

  6. Valid Palindrome II – Check palindrome allowing one deletion.
     Topic Hint: Two-pointer with skip condition.

  7. Compare Version Numbers – Compare strings with dot-separated numbers.
     Topic Hint: Parsing + edge cases.

  8. Add Binary Strings – Perform binary addition on two strings.
     Topic Hint: Simulation of addition.

  9. Multiply Strings – Multiply two large number strings.
     Topic Hint: Simulation of long multiplication.

  10. Valid IP Address Restoration – Restore valid IP addresses from a string.
     Topic Hint: Backtracking + parsing.

Final Thoughts

This list gives you a clear problem statement + topic hint for each of the Top 50 string problems.

Note: Use it as a prep tracker : solve, review the hint and connect each problem to its pattern.
Over time, you’ll spot string problem blueprints instantly in interviews.

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"}}},"blogDetails":{"isWriter":false,"likes":0,"isLikedByUser":false,"tagIds":[6,133,134,177],"tags":[{"id":6,"name":"String","maskingName":"string","isFeatured":true},{"id":133,"name":"Coding Problems","maskingName":"coding-problems","isFeatured":true},{"id":134,"name":"Interview","maskingName":"interview","isFeatured":true},{"id":177,"name":"DSA","maskingName":"dsa","isFeatured":true}],"comments":[],"bookmark":{"isBookmarked":false,"count":0},"author":{"userId":"MjlfNF84LVsxMV0ybi10Q19BTmdlX19JdA==","name":"Raj Verma"},"viewCount":52,"showBannerImage":false,"seoTags":null,"content":"

Strings are one of the most common topics in coding interviews because they combine data structure knowledge, algorithmic thinking\nand real-world scenarios (search, validation, parsing, compression).

\n

The key to cracking them? Pattern recognition.\nMost problems fall into common categories like two-pointers, sliding window, hashing, dynamic programming or backtracking.

\n

This blog lists the Top 50 String Problems with clear descriptions + topic hints so you know exactly\nwhat the problem is and which approach to apply.

\n

Use this as your study roadmap + tracking checklist .

\n

1–10: String Basics & Manipulation

\n
    \n
  1. \n

    Reverse a String – Given a string, reverse its characters (without using built-in reverse).
    \n Topic Hint: Two-pointer or stack basics.

    \n
    2. \n
  2. \n

    Check Palindrome String – Verify if a string reads the same forward and backward (e.g., “madam”).
    \n Topic Hint: Two-pointer comparison.

    \n
    3. \n
  3. \n

    Find First Non-Repeating Character – Return the first character that doesn’t repeat in the string.
    \n Topic Hint: Hash map frequency counting.

    \n
    4. \n
  4. \n

    Count Vowels & Consonants – Count how many vowels and consonants exist in the string.
    \n Topic Hint: Iteration + character classification.

    \n
    5. \n
  5. \n

    Anagram Check – Check if two strings are rearrangements of each other.
    \n Topic Hint: Sorting or hash map frequency.

    \n
    6. \n
  6. \n

    Group Anagrams – Group strings that are anagrams of each other.
    \n Topic Hint: Hash map with sorted signature or frequency map.

    \n
    7. \n
  7. \n

    Longest Common Prefix – Find the longest shared prefix among a list of strings.
    \n Topic Hint: Sorting + prefix checking.

    \n
    8. \n
  8. \n

    Remove Duplicates from String – Remove duplicate characters (e.g., “banana” → “ban”).
    \n Topic Hint: Hash set or stack.

    \n
    9. \n
  9. \n

    Check Rotation of Another String – Check if one string is a rotation of another.
    \n Topic Hint: Concatenation + substring search.

    \n
    10. \n
  10. \n

    String Compression – Compress repeated characters (e.g., “aaabb” → “a3b2”).
    \n Topic Hint: Run-length encoding logic.

    \n
    11. \n
\n

11–20: Substring & Subsequence Problems

\n
    \n
  1. \n

    Longest Substring Without Repeating Characters – Find the longest substring with all unique characters.
    \n Topic Hint: Sliding window + hash map.

    \n
    2. \n
  2. \n

    Minimum Window Substring – Smallest substring containing all characters of a target string.
    \n Topic Hint: Sliding window with frequency maps.

    \n
    3. \n
  3. \n

    Longest Palindromic Substring – Find the longest palindromic substring.
    \n Topic Hint: Expand-around-center or DP.

    \n
    4. \n
  4. \n

    Count All Palindromic Substrings – Count all palindromic substrings in a string.
    \n Topic Hint: DP or center expansion.

    \n
    5. \n
  5. \n

    Longest Common Subsequence – Longest subsequence present in both strings.
    \n Topic Hint: Classic DP.

    \n
    6. \n
  6. \n

    Longest Repeating Subsequence – Longest subsequence appearing more than once.
    \n Topic Hint: DP with index constraints.

    \n
    7. \n
  7. \n

    Edit Distance (Levenshtein) – Minimum operations to convert one string to another.
    \n Topic Hint: DP (insertion, deletion, replacement).

    \n
    8. \n
  8. \n

    Check Subsequence – Check if one string is a subsequence of another.
    \n Topic Hint: Two-pointer traversal.

    \n
    9. \n
  9. \n

    Smallest Window Containing All Characters – Find the shortest substring containing all unique characters.
    \n Topic Hint: Sliding window technique.

    \n
    10. \n
  10. \n

    Find All Subsequences of a String – Generate all subsequences.
    \n Topic Hint: Recursion/backtracking.

    \n
    11. \n
\n

21–30: Pattern Matching & Searching

\n
    \n
  1. \n

    Rabin-Karp Algorithm – Search for a substring using rolling hash.
    \n Topic Hint: Hashing + sliding window.

    \n
    2. \n
  2. \n

    KMP Algorithm – Pattern matching using prefix function.
    \n Topic Hint: Prefix table preprocessing.

    \n
    3. \n
  3. \n

    Z-Algorithm for String Matching – Preprocess Z-array for fast substring search.
    \n Topic Hint: Linear preprocessing technique.

    \n
    4. \n
  4. \n

    Wildcard Matching – Match string against ? and *.
    \n Topic Hint: DP on pattern and string.

    \n
    5. \n
  5. \n

    Regular Expression Matching – Match with regex symbols . and *.
    \n Topic Hint: Hard-level DP.

    \n
    6. \n
  6. \n

    Implement strstr() – Implement substring search function manually.
    \n Topic Hint: Naïve search or KMP.

    \n
    7. \n
  7. \n

    Count Pattern Occurrences in String – Count how many times a pattern appears.
    \n Topic Hint: KMP/Z algorithm.

    \n
    8. \n
  8. \n

    Word Break Problem – Check if string can be segmented into dictionary words.
    \n Topic Hint: DP with hash set.

    \n
    9. \n
  9. \n

    Longest Prefix Suffix (LPS) – Longest prefix that is also a suffix.
    \n Topic Hint: KMP preprocessing array.

    \n
    10. \n
  10. \n

    Find All Anagrams in String – Return indices of substrings that are anagrams of target.
    \n Topic Hint: Sliding window + frequency map.

    \n
    11. \n
\n

31–40: Advanced String Handling

\n
    \n
  1. \n

    Convert String to Integer (atoi) – Convert string to integer with edge cases.
    \n Topic Hint: Parsing + boundary handling.

    \n
    2. \n
  2. \n

    Longest Repeated Substring – Find longest substring appearing at least twice.
    \n Topic Hint: Suffix array/trie.

    \n
    3. \n
  3. \n

    Shortest Palindrome – Make string palindrome by adding characters at front.
    \n Topic Hint: KMP trick + string reversal.

    \n
    4. \n
  4. \n

    Word Ladder Problem – Transform one word to another with minimal steps.
    \n Topic Hint: BFS on dictionary graph.

    \n
    5. \n
  5. \n

    Palindrome Partitioning – Partition string into all possible palindromic substrings.
    \n Topic Hint: Backtracking + DP.

    \n
    6. \n
  6. \n

    Valid Parentheses String – Validate if parentheses string is balanced.
    \n Topic Hint: Stack-based matching.

    \n
    7. \n
  7. \n

    Remove Invalid Parentheses – Remove minimum invalid parentheses.
    \n Topic Hint: BFS/backtracking.

    \n
    8. \n
  8. \n

    Longest Valid Parentheses – Longest valid parentheses substring.
    \n Topic Hint: DP or stack.

    \n
    9. \n
  9. \n

    Decode Ways (A=1, B=2) – Number of ways to decode numeric string.
    \n Topic Hint: Recursion + DP.

    \n
    10. \n
  10. \n

    Generate All Balanced Parentheses – Generate all valid combinations of parentheses.
    \n Topic Hint: Backtracking.

    \n
    11. \n
\n

41–50: Real-World String Applications

\n
    \n
  1. \n

    Roman to Integer – Convert Roman numeral to integer.
    \n Topic Hint: Mapping + traversal.

    \n
    2. \n
  2. \n

    Integer to Roman – Convert integer to Roman numeral.
    \n Topic Hint: Greedy + mapping.

    \n
    3. \n
  3. \n

    Excel Column Title → Number – Convert Excel column title to number.
    \n Topic Hint: Base-26 conversion.

    \n
    4. \n
  4. \n

    Number → Excel Column Title – Reverse conversion of numbers to Excel columns.
    \n Topic Hint: Division + modulo math.

    \n
    5. \n
  5. \n

    License Key Formatting – Format string into groups with dashes.
    \n Topic Hint: String manipulation.

    \n
    6. \n
  6. \n

    Valid Palindrome II – Check palindrome allowing one deletion.
    \n Topic Hint: Two-pointer with skip condition.

    \n
    7. \n
  7. \n

    Compare Version Numbers – Compare strings with dot-separated numbers.
    \n Topic Hint: Parsing + edge cases.

    \n
    8. \n
  8. \n

    Add Binary Strings – Perform binary addition on two strings.
    \n Topic Hint: Simulation of addition.

    \n
    9. \n
  9. \n

    Multiply Strings – Multiply two large number strings.
    \n Topic Hint: Simulation of long multiplication.

    \n
    10. \n
  10. \n

    Valid IP Address Restoration – Restore valid IP addresses from a string.
    \n Topic Hint: Backtracking + parsing.

    \n
    11. \n
\n

Final Thoughts

\n

This list gives you a clear problem statement + topic hint for each of the Top 50 string problems.

\n

Note: Use it as a prep tracker : solve, review the hint and connect each problem to its pattern.
\nOver time, you’ll spot string problem blueprints instantly in interviews.

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