ISACA CDPSE certification exam covers a wide range of topics related to data privacy solutions engineering. These topics include data privacy governance, data privacy program management, data privacy assessment, and data privacy solutions design and implementation. CDPSE exam also covers the legal and regulatory requirements for data privacy and the impact of emerging technologies on data privacy.
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Professionals interested in taking the CDPSE exam must have at least five years of experience in data privacy or related fields. A combination of education and experience may also be considered. In addition to meeting the eligibility requirements, candidates must also adhere to ISACA's Code of Professional Ethics and Continuing Professional Education (CPE) policy. This ensures that they are committed to upholding the highest ethical standards and staying up-to-date with the latest developments in the field.
Reference: https://www.isaca.org/credentialing/certified-data-privacy-solutions-engineer
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ISACA CDPSE Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Privacy Engineering | 39% | - Privacy Related Security Controls
- 1. Breach prevention and detection
- 2. Access management and identity governance
- 3. Encryption and tokenization
- Privacy Controls
- 1. Anonymization and pseudonymization
- 2. Third-party and cross-border privacy management
- 3. Privacy by design implementation
- Technology Stacks
- 1. Cloud privacy architecture
- 2. Emerging technology considerations (AI/ML, IoT)
- 3. Privacy-enhancing technologies (PETs)
|
| Topic 2: Privacy Risk Management and Compliance | 18% | - Compliance
- 1. Incident management and breach response
- 2. Audit and monitoring processes
- 3. Regulatory requirements (GDPR, CCPA, etc.)
- Risk Management
- 1. Risk identification and analysis
- 2. Risk treatment and mitigation
- 3. Privacy risk assessment methodologies
|
| Topic 3: Data Life Cycle Management | 23% | - Data Collection and Processing
- 1. Data mapping and flow analysis
- 2. Consent and preference management
- 3. Data inventory and classification
- Data Persistence and Destruction
- 1. Data minimization techniques
- 2. Secure data disposal methods
- 3. Data retention policies
|
| Topic 4: Privacy Governance | 20% | - Privacy Operations
- 1. Privacy program management
- 2. Training and awareness
- 3. Stakeholder communication
- Privacy Governance
- 1. Governance structures and roles
- 2. Accountability frameworks
- 3. Privacy policies and standards
|