Meeting Rooms

Algorithms
Easy
Spotify
107.1K views

Given an array of meeting time intervals, determine if a person could attend all meetings. Sort the intervals and check for overlaps.

Why Interviewers Ask This

Spotify asks this question to evaluate a candidate's ability to optimize data structures for resource management, mirroring their need for efficient scheduling systems. It tests fundamental algorithmic thinking, specifically the application of sorting to solve interval overlap problems, while assessing clarity in communicating logic under pressure.

How to Answer This Question

1. Clarify Requirements: Confirm if intervals are inclusive or exclusive and handle edge cases like empty arrays immediately. 2. Propose Strategy: Explicitly state that sorting by start time is the optimal approach to linearize the problem. 3. Walk Through Logic: Explain how iterating through the sorted list allows you to compare each meeting's start time with the previous one's end time to detect conflicts. 4. Analyze Complexity: Discuss Time Complexity (O(N log N) due to sorting) and Space Complexity (O(1) or O(N) depending on sort implementation). 5. Implement Cleanly: Write code with clear variable names, ensuring you handle boundary conditions where meetings touch but do not overlap.

Key Points to Cover

  • Explicitly choosing sorting as the primary optimization strategy
  • Correctly defining the overlap condition (start < previous_end)
  • Clearly articulating O(N log N) time complexity reasoning
  • Demonstrating awareness of edge cases like empty arrays
  • Connecting the algorithmic efficiency to real-world scalability needs

Sample Answer

To determine if a person can attend all meetings, we first need to understand the input structure. We have an array of intervals representing start and end times. The core challenge is identifying any overlaps efficientl…

Common Mistakes to Avoid

  • Failing to sort the intervals first, leading to an inefficient O(N^2) nested loop comparison
  • Incorrectly handling boundary conditions where one meeting ends exactly when another starts
  • Neglecting to analyze time and space complexity after writing the solution
  • Overlooking edge cases such as null inputs or single-element arrays

Sound confident on this question in 5 minutes

Answer once and get a 30-second AI critique of your structure, content, and delivery. First attempt is free — no signup needed.

Try it free

Related Interview Questions

Browse all 145 Algorithms questionsBrowse all 30 Spotify questions