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.

HardSystem Design

0 practiced

Design a monitoring and alerting architecture to detect mass exports or suspicious data extraction from BI tools that might indicate exfiltration. Include telemetry sources, detection algorithms, anomaly scoring, retention of forensic data, and an incident response playbook for high-confidence detections.

MediumTechnical

0 practiced

Sketch an ETL job in pseudocode that ingests raw customer events, strips PII, creates aggregated tables for reporting, writes lineage metadata for compliance, and emits an audit record. Describe checkpointing and retry logic to ensure idempotency and traceability.

HardTechnical

0 practiced

Provide a practical plan to anonymize a dataset of customer transactions for external research while preserving the ability to run cohort analyses and maintain statistical validity. Discuss techniques such as k-anonymity, differential privacy, aggregation, sampling, and trade-offs between privacy and utility.

EasyTechnical

0 practiced

You are responsible for enabling audit logging on BI assets. Describe what events you would capture to support compliance audits and incident investigation (for example: view opened, export, schedule run, data source query). Also describe retention, indexing, and access restrictions for the logs themselves.

HardTechnical

0 practiced

Design a mechanism that allows once-off consent revocation to retroactively remove a user's contributions from aggregated reports and models used in BI, while preserving reproducibility and providing an auditable trail of what changed. Discuss technical steps, versioning, and trade-offs in compute and storage.

Unlock Full Question Bank

Get access to hundreds of Data Privacy and Compliance interview questions and detailed answers.

Join thousands of developers preparing for their dream job.