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Certified Data Protection and Privacy Regulations
Target Students
-IT Security Managers
-Compliance Officers
-Information Security ProfessionalsRisk Management Professionals
IT Auditors
-Any professional involved in implementing and managing information security systems
Exam Codes
CDPPR-01 (Certified Data Protection and Privacy Regulations - Fundamentals)
CDPPR-02 (Certified Data Protection and Privacy Regulations - Advanced)
Exam Formats
Multiple choice questions
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Case study analysis
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Scenario-based questions
Duration : 5 Days
Learning Objectives
-Understand the key principles of data protection and privacy regulations.
-Gain knowledge of global data protection frameworks (e.g., GDPR, CCPA).
-Learn how to implement data protection measures within an organization.
-Understand the roles and responsibilities of a Data Protection Officer (DPO).
-Develop strategies for responding to data breaches and managing privacy risks.
-Ensure compliance with data protection laws and regulations.
Exam Options
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Online proctored exam
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On-site exam at accredited testing centers
Passing Score
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70% for certification
Exam Duration
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90 minutes for each exam
Course Outline
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Introduction to Data Protection and Privacy
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Overview of Data Protection and Privacy
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Historical Context and Evolution
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Key Concepts and Terminologies (e.g., personal data, sensitive data)
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Importance of Data Protection in Today’s Digital World
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Global Data Protection Frameworks
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General Data Protection Regulation (GDPR)
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Key Provisions and Requirements
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Rights of Data Subjects
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Data Controller vs. Data Processor Roles
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California Consumer Privacy Act (CCPA)
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Overview and Key Provisions
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Comparison with GDPR
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Other International Regulations (e.g., LGPD in Brazil, PDPA in Singapore)
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Regional Data Protection Laws
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Cross-Border Data Transfers
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Roles and Responsibilities in Data Protection
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Role of a Data Protection Officer (DPO)
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Responsibilities of Organizations under GDPR/CCPA
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Data Governance and Accountability
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Employee Training and Awareness
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Implementing Data Protection Measures
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Data Protection by Design and by Default
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Data Mapping and Inventory
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Data Minimization and Retention Policies
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Implementing Technical and Organizational Measures (TOMs)
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Encryption, Anonymization, and Pseudonymization Techniques
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Data Breach Management
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Identifying and Reporting Data Breaches
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Incident Response Planning
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Notification Requirements (e.g., to Supervisory Authorities, Data Subjects)
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Case Studies on Major Data Breaches and Lessons Learned
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Risk Management in Data Protection
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Conducting Data Protection Impact Assessments (DPIAs)
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Privacy Risk Assessment Tools and Methodologies
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Mitigating Privacy Risks
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Role of Third-Party Risk Management
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Ensuring Compliance
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Monitoring and Auditing Compliance
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Documentation and Record Keeping
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Role of Supervisory Authorities and Enforcement Actions
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Fines and Penalties for Non-Compliance
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Future Trends in Data Protection
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Emerging Data Privacy Regulations
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Impact of Technologies (e.g., AI, Big Data) on Data Privacy
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Preparing for Future Challenges in Data Protection
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