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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.

HardTechnical
0 practiced
Compare the privacy and operational implications of using cloud-managed BI services (e.g., Looker Studio, Power BI SaaS) versus self-hosted BI stacks. Discuss differences in data residency, shared responsibility, access controls, encryption, auditability, and vendor lock-in considerations for a privacy-conscious architecture.
HardTechnical
0 practiced
You detect anomalous access to a dataset containing hashed PII. Draft a detailed incident investigation plan covering triage, technical forensic steps, scope determination, containment, legal notification obligations, remediation, and communication to internal and external stakeholders.
EasyTechnical
0 practiced
Describe a simple data classification scheme (e.g., public, internal, confidential, restricted) tailored for a BI environment. For each class, provide example fields or datasets, recommended access controls, and retention considerations that BI teams should follow.
MediumTechnical
0 practiced
Propose a set of monitoring KPIs and alerting thresholds that would help detect privacy incidents such as mass exports, unusual DSAR volumes, sudden spikes in report downloads, or atypical access patterns to sensitive datasets. Explain how you would tune these to reduce false positives.
HardTechnical
0 practiced
You are negotiating a contract with a new analytics vendor. Draft a prioritized checklist of essential privacy and security contractual clauses and operational SLAs you will request to protect customer data used for BI. For each item, briefly explain why it matters and how you would verify compliance.

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