Design a data quality framework for a modern data platform.

This tests your ability to design a systematic, end-to-end data quality strategy, not just isolated fixes. A strong answer covers four pillars: establish a governance structure with clear roles (stewards, custodians), profile and assess current data quality, define standards and metrics tied to business KPIs, and implement technical controls like schema validation and cleansing. The biggest red flag is focusing only on specific tools without first defining the ownership, policies, and business impact that make those tools effective.