Merge Overlapping Intervals

Last updated: August 10, 2026

Quick Overview

The question asks the candidate to write a function that merges overlapping intervals from a given list of intervals.

ByteDance
Coding & Algorithms
Senior SDE, Quality Platform & AI Test Automation
ByteDance
August 10, 2026
Senior SDE, Quality Platform & AI Test Automation
Technical Screen
Coding & Algorithms
Medium

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17 solved


The question asks the candidate to write a function that merges overlapping intervals from a given list of intervals.

This question is commonly asked during technical screens to assess a candidate's problem-solving skills and understanding of algorithms. Interviewers are looking for the ability to handle data structures effectively, as well as the candidate's approach to optimizing solutions. The question tests the candidate's ability to think critically and efficiently manage overlapping data, which is crucial in software development roles focused on quality and automation.

What the Interviewer Expects
  • Explain the approach to solving the problem clearly.
  • Provide a well-structured algorithm with a correct implementation.
  • Discuss the time and space complexity of the solution.
  • Handle edge cases and provide test cases to validate the solution.
  • Demonstrate good coding practices and clarity in the code.
Key Topics to Cover
Data Structures
Sorting Algorithms
Time Complexity
Edge Cases
Algorithm Optimization
How to Approach This
  1. Clarify input constraints and edge cases before writing code.
  2. Walk through your approach verbally and confirm with the interviewer before coding.
  3. Start with a brute force solution, then optimize. Mention time and space complexity.
  4. Test your solution with examples, including edge cases like empty input or duplicates.
  5. Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
  • How would you modify your solution if the intervals were not sorted?
  • Can you explain how your solution handles edge cases?
  • What would you do if the input size were significantly larger?
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Sample Answer
Approach

To solve the problem of merging overlapping intervals, we can follow these steps:

  1. Sort the intervals based on the start time. This allows us to easily compare adjacent intervals.
  2. **Iterate t...
Algorithm

Here is the Python implementation of the solution:

def merge_intervals(intervals): if not intervals: return [] # Step 1: Sort the intervals by the start time intervals.so...

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