Hard
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Track the Median of a Growing Stream Coding / DSA Interview

Design a structure that supports inserting numbers one at a time from a stream and efficiently reporting the median of all numbers seen so far.

1. Problem Statement

Design a structure that supports inserting integers one at a time from a stream and returning the median of all values inserted so far, at any point.

2. Live Coding Format

Work in the provided coding workspace while explaining your decisions to the live interviewer. Validation may use inline tests, examples, comments, or a verbal walkthrough.

3. Key Focus Areas

  • 1
    Problem clarification and contract
  • 2
    Approach exploration and optimality
  • 3
    Think-aloud communication and pacing
  • 4
    Implementation correctness
  • 5
    Code quality and language fluency
  • 6
    Handwritten tests and dry run
  • 7
    Debugging and self-correction
  • 8
    Complexity analysis
  • 9
    Follow-up performance

4. What Strong Candidates Should Demonstrate

  • Clarify insertion frequency, query frequency, and duplicate/negative value assumptions before coding.
  • Explain a naive sorted-storage baseline and improve to a balanced two-heap design.
  • Think aloud while implementing careful heap balancing logic.
  • Validate with explicit expected outputs and a top-to-bottom handwritten dry run.
  • Analyze time and space complexity and handle a focused follow-up extension.

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Practice this problem in the live coding workspace while the interviewer probes your clarification, implementation, trade-offs, and validation.

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Core Concepts

HeapsStreamingData Structure DesignComplexity Analysis

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