Certified Data Privacy Solutions Engineer (CDPSE) Practice Exam

Certified Data Privacy Solutions Engineer (CDPSE) Practice Exam

About the Certified Data Privacy Solutions Engineer (CDPSE) Exam

The Certified Data Privacy Solutions Engineer (CDPSE) credential is designed to validate the technical expertise required to assess, develop, and implement comprehensive data privacy measures. CDPSE-certified professionals bridge the technical privacy skills gap, equipping organizations with capable privacy technologists to build solutions that mitigate risks and enhance efficiency.

Benefits of CDPSE Certification

• Highest-Paid Salary Among US Cert Holders
• Use Skills Learned from CDPSE Daily
• Increased Productivity

CDPSE Course Outline

The Certified Data Privacy Solutions Engineer (CDPSE) Exam covers the following topics - 

Domain 1 – Privacy Governance (20%) 

A—PRIVACY GOVERNANCE

• Personal Information
• Privacy Principles (e.g., Privacy by Design, Consent, Transparency)
• Privacy Laws and Regulations
• Privacy Documentation (e.g., Policies, Guidelines)

B—PRIVACY OPERATIONS

• Organizational Culture, Structure, and Responsibilities
• Vendor and Supply Chain Management
• Incident Management
• Data Subject Rights, Requests, and Notification

Domain 2 – Privacy Risk Management & Compliance (18%)

A—RISK MANAGEMENT

• Risk Management Process and Policies
• Privacy-Focused Assessment (e.g., Privacy Impact Assessment (PIA))
• Privacy Training and Awareness
• Threats and Vulnerabilities
• Risk Response

B—COMPLIANCE

• Privacy Frameworks
• Evidence and Artifacts
• Program Monitoring and Metrics

Domain 3 – Data Lifecycle Management (23%)

A—DATA COLLECTION AND PROCESSING

• Data Inventory, Dataflow Diagram, and Classification
• Data Quality (e.g. Accuracy)
• Data Use Limitation
• Data Analytics (e.g., Aggregation, AI, Data Warehouse)

B—DATA PERSISTENCE AND DESTRUCTION

• Data Minimization
• Data Disclosure and Transfer
• Data Storage, Retention, and Archiving
• Data Destruction

Domain 4 – Privacy Engineering (39%)

A—TECHNOLOGY STACKS

• Infrastructure and Platform Technology (e.g., legacy, cloud computing)
• Devices and Endpoints
• Connectivity
• Secure Development Life Cycle
• APIs and Cloud-Native Services

B—PRIVACY RELATED SECURITY CONTROLS

• Asset Management
• Identity and Access Management
• Patch Management and Hardening
• Communication and Transport Protocols
• Encryption and Hashing
• Monitoring and Logging

C—PRIVACY CONTROLS

• Consent Tagging
• Tracking Technologies (e.g., cookie management)
• Anonymization and Pseudonymization
• Privacy Enhancing Technologies (PETs)
• AI/Machine Learning (ML) Considerations