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Amazon·Software Engineer·Online Assessment (OA)·Intermediate

Intermediate
May 2026

Summary

Amazon SWE coding round with a greedy string construction problem. Pretty standard algorithmic question but the constraint about always picking the highest-count character tripped me up at first.

Questions Asked (1)

Q1

Given integer counts for characters 'a', 'b', and 'c', construct the longest possible string using those characters such that no three consecutive characters are the same.

Algorithms & Data Structures
Author's notes

My first instinct was to just alternate characters evenly and call it a day.

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AI HintsAI Generated

Suggested Approach

Use a greedy approach with a max-heap to always pick the character with the highest remaining count, ensuring we don't place three identical characters consecutively. At each step, choose the most frequent character that isn't the same as the last two characters, append it, decrement its count, and push it back if still positive. This yields the longest possible string because it maximizes the use of the most abundant characters while respecting the constraint.

Pro tip: Discuss the time and space complexity upfront: O(n log 3) time (effectively O(n)) and O(1) space since the heap size is at most 3. Also, mention that the greedy choice is optimal because any deviation would only reduce the length by wasting a high-frequency character.

1. Understand the problem and constraints

Clarify that we need to use all characters if possible, but the constraint may force us to leave some unused. The goal is to maximize the length of the resulting string.

2. Choose the right data structure

Use a max-heap (priority queue) to efficiently retrieve the character with the highest remaining count. Since there are only three characters, the heap size is constant.

3. Define the greedy selection rule

At each step, pick the character with the largest count that is not the same as the last two characters in the result. If the most frequent character is blocked, pick the next most frequent.

4. Simulate the process and handle edge cases

Iterate until no valid character can be added. Handle cases where counts are zero or where the last two characters force a different choice. Return the constructed string.

5. Analyze correctness and complexity

Argue that the greedy choice is optimal: always using the most frequent available character maximizes the length. Analyze time complexity as O(n log 3) = O(n) and space as O(1).

Key Points to Mention

  • Greedy algorithm with max-heap (priority queue) to always pick the most frequent valid character.
  • Constraint check: avoid placing the same character as the last two characters in the result.
  • Time complexity: O(n) where n is the total number of characters, since heap operations are O(log 3) = O(1).
  • Space complexity: O(1) because the heap stores at most 3 elements.
  • Edge cases: when one character count is much larger than the others, some characters may be left unused.
  • Proof of optimality: greedy choice ensures maximum usage of the most frequent characters, preventing early blockage.

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