Intervals with Exactly X Concurrent Meetings
Last updated: August 1, 2026
Quick Overview
The question asks the candidate to determine the number of intervals that have exactly X concurrent meetings occurring at the same time.
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The question asks the candidate to determine the number of intervals that have exactly X concurrent meetings occurring at the same time.
This question is typically asked during the onsite interview round for software engineering roles at Google. It evaluates the candidate's problem-solving skills, ability to work with intervals, and understanding of algorithms related to time complexity. The interviewer is looking for a clear, efficient approach to handle overlapping intervals and to implement a solution that scales well with input size.
What the Interviewer Expects
- Clearly define the problem and constraints.
- Present an efficient algorithm with a time complexity analysis.
- Provide a working implementation in Python.
- Discuss edge cases and how they are handled.
- Explain the thought process and reasoning behind the chosen approach.
Key Topics to Cover
How to Approach This
- Clarify input constraints and edge cases before writing code.
- Walk through your approach verbally and confirm with the interviewer before coding.
- Start with a brute force solution, then optimize. Mention time and space complexity.
- Test your solution with examples, including edge cases like empty input or duplicates.
- Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
- How would you optimize your solution for larger datasets?
- Can you explain how your algorithm handles edge cases?
- What would you change if the requirement was to find intervals with at least X concurrent meetings?
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Practice DSA ProblemsSample Answer
Framing
To solve the problem of finding intervals with exactly X concurrent meetings, we first need to clarify the input format. We will receive a list of meeting intervals, where each interval is defined by ...
Approach
We can use a sweep line algorithm to efficiently count concurrent meetings. The idea is to create two events for each meeting: a start event and an end event. We will then sort these events and proces...