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Amazon·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Amazon SWE coding round, pretty much just one algorithmic question about grid traversal. Short session, not much to say about it.

Questions Asked (1)

Q1

Given an n x n grid of 1s and 0s, return the total number of islands (connected groups of 1s).

Algorithms & Data Structures
Author's notes

Classic BFS/DFS problem.

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AI HintsAI Generated

Suggested Approach

Clarify that the grid is n x n and islands are 4-directionally connected. Then propose a graph traversal (DFS or BFS) that scans the grid and, upon finding an unvisited '1', increments the count and explores the entire island, marking cells as visited. Discuss complexity and possible optimizations like union-find or iterative BFS to avoid recursion limits.

Pro tip: At Amazon, emphasize scalability and edge cases: mention that for very large grids, an iterative BFS or union-find avoids recursion depth issues, and always clarify whether diagonal connections count. Also, note that modifying the input grid to mark visited cells saves space but may not be allowed—ask if mutation is acceptable.

1. Clarify the problem

Confirm grid dimensions, connectivity (4-directional vs 8-directional), and whether the input can be mutated. Ask about edge cases like empty grid or all 1s.

2. Choose traversal method

Decide between DFS (recursive or iterative) and BFS. For Amazon, mention trade-offs: DFS is simpler but recursion may overflow; BFS uses a queue and is safer for large grids.

3. Implement the algorithm

Iterate through each cell. When a '1' is found, increment island count and perform traversal to mark all connected '1's as visited (e.g., set to '0' or use a visited matrix).

4. Analyze complexity

State time complexity O(n^2) since each cell is visited once, and space complexity O(n^2) in worst case for recursion/queue or visited matrix.

5. Discuss optimizations and alternatives

Mention union-find as an alternative with near-linear time, or using BFS to avoid recursion limits. Also, note that if mutation is allowed, space can be O(1) extra.

Key Points to Mention

  • Graph traversal (DFS/BFS) on a 2D grid
  • Time complexity O(n^2) and space complexity O(n^2) worst-case
  • Handling edge cases: empty grid, all 1s, all 0s, single row/column
  • Connectivity definition: 4-directional (up, down, left, right)
  • Marking visited cells to avoid revisiting (in-place modification or separate visited matrix)
  • Alternative approaches: union-find, iterative BFS to avoid recursion depth issues

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