Your question is Schema Evolution in Data Lakes. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How do you handle schema evolution in distributed data lakes or data warehouses over time?
Focus on backward and forward compatibility, versioned contracts, and how you prevent breaking downstream jobs when columns are added, renamed, or removed. Explain how you would validate, migrate, and monitor schema changes in production.