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Data Privacy and Compliance Questions

Covers principles, frameworks, and operational practices for managing personal and sensitive data in compliance with law and ethics across contexts such as research and marketing. Topics include regulatory regimes and requirements for data protection, privacy by design, consent management and informed consent procedures, rights subject mechanisms including data access and deletion requests, data retention and deletion policies, deidentification and pseudonymization techniques, Institutional Review Board and research ethics considerations, vendor and third party data processing agreements, auditing and compliance monitoring of systems, privacy impact and risk assessments, secure data storage and access controls, breach response and notification processes, and how platform and marketing technology capabilities affect compliance. Candidates should be able to explain both conceptual requirements and practical implementation tradeoffs when applying privacy and compliance controls in research operations and marketing technology stacks.

EasyTechnical
19 practiced
Define privacy by design and list five practical controls or patterns you would adopt when building BI dashboards and automated reports to align with that principle. Explain how each control reduces privacy risk while still providing actionable business insights.
EasyTechnical
24 practiced
Describe the end-to-end steps you would take to respond to a Data Subject Access Request (DSAR) for an individual's data that may appear across transactional databases, analytics tables, BI extracts, and archived backups. Include identification, scope definition, verification, extraction/export, redaction, and documentation for audit purposes.
MediumTechnical
24 practiced
Describe how you would implement and test a deletion workflow that ensures GDPR's right to erasure across data lake, BI extracts, materialized views, and backups. Include orchestration, mapping identifiers across systems, validation, and exceptions such as legal holds.
MediumTechnical
25 practiced
You have been asked to run a compliance audit of BI datasets and reports across the company. List the steps, tools, and metrics you would use to evaluate compliance with privacy policies and regulations, and describe how you would prioritize remediation tasks.
EasyTechnical
17 practiced
Explain the difference between anonymization and pseudonymization in the context of BI analytics. Provide concrete examples of when each technique is appropriate for internal dashboards, external research sharing, and marketing segmentation. Discuss reversibility, re-identification risk, and the regulatory implications for GDPR and other privacy regimes.

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