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Amazon OA Coding Questions: Patterns That Repeat

The coding patterns behind Amazon OA questions — with approach breakdowns and free practice questions for each pattern.

7 min readUpdated 2026-08-09

Amazon OAs feel random until you see the patterns. These five patterns cover most of what actually appears.

Pattern 1: Hash map counting

Pair sums, anagram detection, frequency of characters, finding duplicates — these appear in nearly every OA. The signature move is a single pass with a hash map plus an O(1) lookup.

Practice variants like counting pairs with a target difference and longest substring without repeating characters — Amazon reuses these families.

Pattern 2: Sliding window and prefix sums

Subarray problems — maximum sum, target sum subarrays, window with constraint — usually reduce to a sliding window or prefix sum map. The clue is a contiguous subarray or substring constraint.

These problems punish naive double loops under big constraints, so always compute the window math before coding.

Pattern 3: Sorting plus greedy

Interval problems, scheduling, and selection problems hide behind a sort: sort by end time, then scan greedily. Merge intervals, meeting rooms, and similar variants are frequent OA material.

The complexity is usually O(n log n) from the sort — state it before writing code so you know you are done.

Pattern 4: BFS/DFS on grids and graphs

Grid traversal, connected components, and shortest path with a twist show up regularly. Practice BFS for shortest steps and DFS for counting or grouping, with visited arrays to avoid cycles.

Edge cases: blocked cells, multi-source starts, and large grids that need iterative (not recursive) DFS.

Pattern 5: Basic DP with memoization

Simple recursion-plus-cache problems — climbing stairs, house robber, unique paths — appear often at easy-medium level. Recognize the state (position, remaining, carry) and write the memo.

If a problem has an optimal substructure and asks for count, max, or min, DP or greedy is likely the route.

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Put the guide into practice with the most relevant tools and supporting resources.

  • Amazon OA prepare guide
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