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Amazon·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
May 2026

Summary

Amazon BI Engineer interview that came down to a classic linked list merge problem. Nothing shocking, but they made it clear you should be ready to go beyond the basic version.

Questions Asked (1)

Q1

Given the heads of two sorted linked lists, merge them into a single sorted linked list by splicing the original nodes together and return the head of the result.

Algorithms & Data Structures
Author's notes

Pretty standard if you've seen it before.

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AI HintsAI Generated

Suggested Approach

Clarify the problem constraints and edge cases, then walk through a two-pointer iterative solution that splices nodes in place. Emphasize O(n+m) time and O(1) space, and discuss how to handle duplicates and stability.

Pro tip: Use a dummy head node to simplify edge cases and avoid special-casing the first node. Also, explicitly state that you are reusing the original nodes (no new allocations) to show awareness of memory efficiency.

1. Clarify requirements and edge cases

Ask about input constraints (e.g., empty lists, duplicate values, sorted order) and whether modifying the original lists is acceptable. Confirm the expected return type.

2. Outline the two-pointer approach

Explain that you will maintain pointers to the current node in each list, compare their values, and append the smaller node to the merged list, advancing that pointer.

3. Handle edge cases and dummy node

Describe using a dummy head to simplify list construction, and cover cases where one list is exhausted by linking the remainder of the other list.

4. Analyze complexity and stability

State that time complexity is O(n+m) and space is O(1) since nodes are spliced in place. Mention that the merge is stable if you consistently choose the node from the first list when values are equal.

5. Test with examples

Walk through a simple example (e.g., 1->2->4 and 1->3->4) to verify correctness, and mention testing edge cases like empty lists or one list being longer.

Key Points to Mention

  • Two-pointer technique for merging sorted lists
  • Use of a dummy head node to simplify edge cases
  • In-place splicing of nodes (O(1) space)
  • Time complexity O(n+m) where n and m are list lengths
  • Handling duplicates and stability of the merge
  • Edge cases: empty lists, one list exhausted, all elements of one list smaller

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