To qualify for the CDPSE certification, candidates must have at least five years of experience in IT and a minimum of three years of experience in data privacy. They must also have completed a minimum of 20 hours of training in data privacy and pass the CDPSE certification exam. CDPSE exam is a four-hour, computer-based test that consists of 100 multiple-choice questions.

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ISACA CDPSE (Certified Data Privacy Solutions Engineer) certification exam is a new certification program that is designed to validate an individual's knowledge and expertise in data privacy and protection solutions. Certified Data Privacy Solutions Engineer certification is designed to equip professionals with the knowledge and skills required to manage and protect sensitive data, ensuring compliance with regulatory requirements and industry standards.

Reference: https://www.isaca.org/credentialing/certified-data-privacy-solutions-engineer

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ISACA CDPSE (Certified Data Privacy Solutions Engineer) Exam is a globally recognized certification for professionals who aim to demonstrate their expertise in data privacy solutions engineering. CDPSE exam is designed to validate the candidate's knowledge and skills in developing and implementing data privacy solutions to protect sensitive information and ensure compliance with privacy regulations. The CDPSE certification is ideal for professionals who work in the field of data protection, including data privacy officers, data protection officers, compliance officers, and security professionals.

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ISACA CDPSE Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Life Cycle Management	23%	- Data Retention and Destruction 1. Data Minimization 2. Secure Data Destruction 3. Data Disclosure and Transfer 4. Data Storage and Retention - Data Collection and Processing 1. Analytics and Data Processing Techniques 2. Data Classification and Quality 3. Data Use Limitation 4. Data Inventory and Data Flow Mapping
Topic 2: Privacy Engineering	39%	- Technology and Architecture 1. Secure Development Lifecycle (SDLC) 2. Infrastructure and Cloud Technologies 3. APIs and Application Design 4. Devices and Endpoints - Security Controls Supporting Privacy 1. Logging and Monitoring 2. Encryption and Hashing 3. Identity and Access Management 4. Patch Management and Hardening - Privacy Enhancing Controls 1. Privacy Enhancing Technologies (PETs) 2. Tracking and Cookie Controls 3. Anonymization and Pseudonymization 4. AI and Machine Learning Privacy Considerations 5. Consent Management Technologies
Topic 3: Privacy Risk Management and Compliance	18%	- Risk Management 1. Privacy Impact Assessments (PIA) 2. Threats and Vulnerabilities 3. Risk Management Processes 4. Risk Response and Treatment 5. Privacy Training and Awareness - Compliance 1. Privacy Frameworks 2. Evidence and Audit Artifacts 3. Program Monitoring and Metrics
Topic 4: Privacy Governance	20%	- Privacy Governance Fundamentals 1. Privacy Documentation (Policies, Standards, Guidelines) 2. Personal Information 3. Privacy Laws and Regulations 4. Privacy Principles (Privacy by Design, Consent, Transparency) - Privacy Operations 1. Data Subject Rights and Requests 2. Vendor and Supply Chain Management 3. Incident Management 4. Organizational Structure and Responsibilities