Data Governance and Classification Questions

Covers frameworks and practices for classifying and governing organizational data. Candidates should demonstrate how to define classification schemes such as public, internal, confidential, and restricted and how to identify sensitivity categories including personally identifiable information, protected health information, payment and financial data, biometric data, and location data. Explain how classification drives data handling requirements including storage location choices, encryption and access control policies, retention and deletion schedules, data minimization, and cross border data handling. Discuss implementation patterns such as metadata and labeling, automated discovery and classification, integration with data pipelines and applications, policy enforcement and auditing, roles and responsibilities for data stewardship, and how to align classification with legal and regulatory compliance and privacy requirements.