How do I approach Coding & Algorithms interview questions?

Coding & Algorithms questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master coding & algorithms interviews.

What difficulty level is this interview question?

This is a Medium difficulty Coding & Algorithms question, commonly asked during Technical Screen rounds at Rippling.

What role is this question designed for?

This question is commonly asked for Software Engineer candidates at Rippling during technical interviews.

Compute max simultaneous drivers last 24 hours | Rippling Interview Question

Compute max simultaneous drivers last 24 hours

Last updated: Apr 10, 2026

Quick Overview

This question evaluates proficiency in reasoning about time-interval overlap, event aggregation, and online data structures for streaming interval queries, testing skills in algorithm design and temporal data handling within the Coding & Algorithms domain.

Rippling

Jul 31, 2025, 12:00 AM

Software Engineer

Technical Screen

Coding & Algorithms

Given delivery intervals (driverId, startTime, endTime) already recorded, implement maxSimultaneousDriverInPast24Hours() that returns the maximum number of distinct drivers who were simultaneously on a delivery at any instant within the window (now−24h, now]. Precisely define "simultaneous" and the interval semantics (open/closed). If multiple times achieve the maximum, optionally also return one such timestamp or the corresponding maximal intervals. Describe an efficient algorithm and data structures that support online inserts from RecordDelivery and queries with strong performance guarantees, and analyze time and space complexity.

Comments (0)

Loading comments...

Browse More Questions

More Coding & Algorithms•More Rippling•More Software Engineer•Rippling Software Engineer•Rippling Coding & Algorithms•Software Engineer Coding & Algorithms