Toll Road Sensor Analytics

A easy Data Modeling mock interview question on DataDriven. Practice with AI-powered feedback, real code execution, and a hire/no-hire decision.

Domain

Data Modeling

Difficulty

easy

Seniority

mid

Interview Prompt

We operate a toll road network with 200 sensor-equipped lanes across 15 locations. Each sensor captures license plate reads, timestamps, and lane metadata. We need to compute real-time traffic volume, average transit times between checkpoints, and flag anomalies for toll evasion detection. Design the data model.

How This Interview Works

1. Read the vague prompt (just like a real interview)
2. Ask clarifying questions to the AI interviewer
3. Write your data modeling solution with real code execution
4. Get instant feedback and a hire/no-hire decision