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Apple·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
May 2026

Summary

Apple data engineer interview with a classic algorithm problem. Nothing too wild but it required some thought on the approach.

Questions Asked (1)

Q1

Given an array of integers representing heights of vertical lines, find the two lines that together with the x-axis form a container that holds the most water.

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

Two-pointer approach is the right move here but I spent a couple minutes convincing myself why the greedy logic actually works.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the problem and constraints, then propose a brute-force solution to establish a baseline. Introduce the two-pointer technique as an optimized O(n) solution, explaining why it works and its trade-offs. Finally, discuss edge cases and potential optimizations.

Pro tip: Emphasize the greedy proof behind moving the pointer with the shorter line: it's the only way to potentially increase the area, since the width decreases and the height is limited by the shorter line. This shows deep understanding beyond just memorizing the algorithm.

1. Clarify the problem

Restate the problem in your own words and ask clarifying questions about input constraints, expected output, and edge cases (e.g., empty array, two lines, equal heights).

2. Discuss brute-force approach

Mention that a naive solution would check all pairs of lines, calculating area as min(height[i], height[j]) * (j - i), with O(n^2) time complexity. This establishes a baseline.

3. Introduce two-pointer technique

Explain that starting with pointers at both ends and moving the pointer with the shorter line inward yields an O(n) solution. Describe the area calculation and pointer movement logic.

4. Justify correctness

Argue why moving the shorter pointer is safe: the area is limited by the shorter line, so moving the taller line cannot increase the area, while moving the shorter line might find a taller line and increase the area.

5. Analyze complexity and edge cases

State time complexity O(n) and space O(1). Discuss edge cases like empty input, two lines, and all equal heights, and confirm the algorithm handles them.

Key Points to Mention

  • Area formula: min(height[i], height[j]) * (j - i)
  • Two-pointer approach: start at ends, move shorter pointer inward
  • Greedy proof: moving the shorter pointer is the only way to potentially increase area
  • Time complexity: O(n) vs O(n^2) brute force
  • Space complexity: O(1) extra space
  • Edge cases: empty array, two lines, equal heights

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