Certified Data Privacy Solutions Engineer-CDPSE — Lesson 2: Privacy Architecture, Data Flows, Requirements, Design, and Engineering

Learning Objectives

• Explain the roles, information, criteria, dependencies, and decision points governing privacy architecture and data mapping.
• Implement or assess privacy requirements, privacy by design, and engineering controls using controlled evidence and acceptance criteria.
• Evaluate the condition where a control passes a basic check but privacy by design fails because privacy requirements data, criteria, or dependency assumptions differ and select a proportionate corrective response.

Detailed Topics

• privacy architecture applied to the course scenario, expected behavior, stakeholders, controls, risks, and evidence.
• data mapping applied to the course scenario, expected behavior, stakeholders, controls, risks, and evidence.
• privacy requirements applied to the course scenario, expected behavior, stakeholders, controls, risks, and evidence.
• privacy by design applied to the course scenario, expected behavior, stakeholders, controls, risks, and evidence.
• engineering controls applied to the course scenario, expected behavior, stakeholders, controls, risks, and evidence.

Instructor Demonstration

The instructor traces a privacy engineering team embedding privacy requirements into products, platforms, data flows, vendors, and operational processes. The walkthrough connects frameworks, processes, tools, decisions, and evidence captured in the CDPSE privacy architecture, data-flow map, control matrix, and privacy assurance report. It also tests the exception where a control passes a basic check but privacy by design fails because privacy requirements data, criteria, or dependency assumptions differ.

Hands-On Exercise

Complete a controlled ISACA-aligned exercise covering Privacy Architecture, Data Flows, Requirements, Design, and Engineering and preserve the verified result in the CDPSE privacy architecture, data-flow map, control matrix, and privacy assurance report.

1. Confirm scope, roles, criteria, prerequisites, information sources, dependencies, and acceptance conditions.
2. Execute the governance, risk, audit, security, data, cloud, or technology workflow while recording decisions and evidence.
3. Test normal behavior, one boundary condition, and the stated exception using a controlled scenario.
4. Document findings, corrections, ownership, retest criteria, communication, and operational handover.

Scenario Analysis

• Identify which role, process, objective, control, data source, or decision most strongly influences privacy architecture.
• Compare two defensible responses and explain governance, risk, audit, security, privacy, operational, and business trade-offs.
• Determine how the CDPSE privacy architecture, data-flow map, control matrix, and privacy assurance report should be approved, retained, reviewed, retested, and updated.

Troubleshooting Guidance

Start where expected behavior first differs from the observed result. Check scope, criteria, ownership, data quality, process sequence, policy alignment, version compatibility, dependencies, status, and evidence separately. Treat “a control passes a basic check but privacy by design fails because privacy requirements data, criteria, or dependency assumptions differ” as a hypothesis until records, interviews, configurations, calculations, and retest outcomes confirm the cause.

Validation Checklist

• Required roles, processes, criteria, controls, information, approvals, and dependencies are present.
• The CDPSE privacy architecture, data-flow map, control matrix, and privacy assurance report connects each conclusion to objective, reviewable evidence.
• Normal processing, a boundary condition, dependency behavior, and the stated exception were tested.
• Corrections, ownership, retest criteria, documentation, communication, and operational handover are complete.

Lesson Outcome

Learners can apply Privacy Architecture, Data Flows, Requirements, Design, and Engineering, explain the resulting governance, risk, audit, security, data, or operational behavior, and defend the outcome through the CDPSE privacy architecture, data-flow map, control matrix, and privacy assurance report.