Design a Linked Queue with Deletion Follow-Ups

Quick Overview

Design a linked queue with constant-time enqueue and dequeue, then compare source-faithful delete-by-value and duplicate-removal semantics before implementation.

Design a Linked Queue with Deletion Follow-Ups

Company: Amazon

Role: Software Engineer

Category: Software Engineering Fundamentals

Difficulty: medium

Interview Round: Onsite

# Design a Linked Queue with Deletion Follow-Ups Design a queue with `O(1)` enqueue and dequeue using a hand-built linked structure rather than a native queue or collection. Then discuss how to extend it with `delete(x)` and `removeAllDuplicates()`, identifying the observable semantics that must be clarified before either follow-up is implemented. ### Constraints & Assumptions - The base queue owns head and tail pointers and may be empty. - Enqueue and dequeue must remain `O(1)`. - The source does not say whether `delete(x)` removes one or all matches, or whether duplicate removal keeps one copy or removes every repeated value. ### Clarifying Questions to Ask - What should dequeue return or do when the queue is empty? - Should `delete(x)` remove the first match, the last match, or every match? - Does `removeAllDuplicates()` retain one occurrence of each value or remove values that appear more than once entirely? ```hint Protect the tail invariant Any traversal that unlinks nodes must update both head and tail when it removes the first or last node. ``` ### What a Strong Answer Covers - Node, head, and tail invariants for constant-time base operations. - Separate algorithms for the plausible deletion and duplicate-removal contracts. - Empty, singleton, repeated-value, head, tail, and all-removed cases. - Complexity with and without an auxiliary membership or frequency structure. ### Follow-up Questions 1. How would the design change if native hash-based collections became available? 2. Can arbitrary delete-by-value remain worst-case `O(1)` without maintaining additional indexes?

Quick Answer: Design a linked queue with constant-time enqueue and dequeue, then compare source-faithful delete-by-value and duplicate-removal semantics before implementation.

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Sep 2, 2026
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Design a Linked Queue with Deletion Follow-Ups

Design a queue with O(1) enqueue and dequeue using a hand-built linked structure rather than a native queue or collection. Then discuss how to extend it with delete(x) and removeAllDuplicates(), identifying the observable semantics that must be clarified before either follow-up is implemented.

Constraints & Assumptions

  • The base queue owns head and tail pointers and may be empty.
  • Enqueue and dequeue must remain O(1) .
  • The source does not say whether delete(x) removes one or all matches, or whether duplicate removal keeps one copy or removes every repeated value.

Clarifying Questions to Ask Guidance

  • What should dequeue return or do when the queue is empty?
  • Should delete(x) remove the first match, the last match, or every match?
  • Does removeAllDuplicates() retain one occurrence of each value or remove values that appear more than once entirely?

What a Strong Answer Covers Guidance

  • Node, head, and tail invariants for constant-time base operations.
  • Separate algorithms for the plausible deletion and duplicate-removal contracts.
  • Empty, singleton, repeated-value, head, tail, and all-removed cases.
  • Complexity with and without an auxiliary membership or frequency structure.

Follow-up Questions Guidance

  1. How would the design change if native hash-based collections became available?
  2. Can arbitrary delete-by-value remain worst-case O(1) without maintaining additional indexes?
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