Your question is Normalization in Equipment Service Databases. 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).
In analytics and operational reporting, poor table design can create duplicate data, inconsistent updates, and unreliable metrics. This matters in environments tracking Lam Research tools, chambers, and service events where the same attributes can appear repeatedly across records.
Explain the concept of normalization in databases. You should describe what normalization is, why it is used, and how it reduces redundancy and improves data integrity. Use a simple example such as storing tool_id, tool_model, customer_site, and service_engineer data for Lam Research equipment service records.
Keep your answer at an interview level: define normalization clearly, explain the purpose of first, second, and third normal form at a high level, and mention trade-offs such as when a team might intentionally denormalize for reporting or performance.