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Amazon·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
Jun 2026

Summary

Amazon SWE coding round with a string reorganization problem. Pretty standard algorithmic question but the edge case tripped me up more than I expected.

Questions Asked (1)

Q1

Given a string of lowercase letters, rearrange it so that no two adjacent characters are the same. If no valid arrangement exists, return an empty string.

Algorithms & Data Structures
Author's notes

The 'aba' case was obvious but I fumbled explaining why 'aaab' is impossible.

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AI HintsAI Generated

Suggested Approach

Start by explaining that this is a greedy problem where you always place the most frequent remaining character that isn't the same as the previously placed one. Use a max-heap to efficiently track character frequencies, and after placing a character, reinsert it if it still has remaining count. If at any point the most frequent character exceeds (n+1)/2, no valid arrangement exists.

Pro tip: Mention that you can optimize by using a max-heap of counts and a 'cooldown' variable to avoid reinserting the same character immediately, but the standard greedy with a heap is sufficient. Also, clarify that the problem is equivalent to reorganizing a string such that no two adjacent characters are the same, which is a common Amazon interview question.

1. Understand the problem and edge cases

Restate the problem: rearrange a string so no two adjacent characters are identical. Identify edge cases: empty string, single character, and strings where the maximum frequency exceeds (n+1)/2.

2. Check feasibility

Count the frequency of each character. If any character appears more than (n+1)/2 times, return an empty string immediately.

3. Choose data structures

Use a max-heap (priority queue) to store characters by frequency. This allows efficient retrieval of the most frequent character that can be placed next.

4. Greedy construction

While the heap is not empty, pop the most frequent character, append it to the result, decrement its count, and if count > 0, hold it aside. Then pop the next most frequent character, append it, decrement, and reinsert the held character if its count > 0. Repeat until heap is empty.

5. Analyze complexity and test

Time complexity: O(n log k) where k is the number of distinct characters (at most 26). Space: O(k). Walk through a small example to verify correctness.

Key Points to Mention

  • Greedy approach: always pick the most frequent character that isn't the same as the last placed one.
  • Feasibility condition: max frequency <= (n+1)/2.
  • Use of a max-heap (priority queue) to efficiently get the most frequent character.
  • Handling the 'cooldown' by temporarily holding the previously used character before reinserting.
  • Time and space complexity analysis.
  • Edge cases: empty string, single character, and strings with all same characters.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.