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
- L4
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.
Summary
Cars enter, cars exit. Except when they don't.
How This Interview Works
- Read the vague prompt (just like a real interview)
- Ask clarifying questions to the AI interviewer
- Write your data modeling solution with real code execution
- Get instant feedback and a hire/no-hire decision