CDPSE Online Review Course [CDPSE-ONLCOU]

OVERVIEW

Prepare to obtain the Certified Data Privacy Solutions Engineer® (CDPSE) certification and be recognized among the world’s most-qualified information systems professionals. The CDPSE Online Review Course provides online, on-demand instruction and is ideal for preparing you to take the CDPSE exam. This course will provide in-depth coverage of three domains (privacy governance, privacy architecture and data lifecycle) tested on the CDPSE exam.

• Learn the specific requirements for passing the CDPSE Exam and attaining your certification
• Review key concepts, tasks and knowledge related to the duties of a privacy practitioner.

Learners will have access to the course for one year from date of purchase and will earn 12 CPE upon completion. This course has a seat time of approximately 10 hours and is accessed via the Learning Access tab of your MyISACA dashboard

Please note : The exam is not included with the course but can be purchased seperately.

OBJECTIVES

After completing this course you should be able to:

• Build and Implement Privacy Solutions
• Manage the data lifecycle and advise technologists on privacy compliance
• Implement privacy by design which results in privacy technology platforms and products that build trust and advance data privacy.
• Ensure that privacy solutions match the organization's risk appetite and mitigate risks of noncompliance
• Improve the end user experience while preserving privacy and retaining trust.

CONTENT

Domain 1: Privacy Governance

Section A: Governance

• Module 1: Personal Data and Information
• Module 2: Privacy Laws and Standards across Jurisdictions
• Module 3: Privacy Documentation (e.g., Policies, Guidelines)
• Module 4: Legal Purpose, Consent, and Legitimate Interest
• Module 5: Data Subject Rights

Section B: Management

• Module 1: Roles and Responsibilities related to Data
• Module 2: Privacy Training and Awareness
• Module 3: Vendor and Third-Party Management
• Module 4: Audit Process
• Module 5: Privacy Incident Management

Section C: Risk Management

• Module 1: Risk Management Process
• Module 2: Privacy Impact Assessment (PIA)
• Module 3: Threats, Attacks, and Vulnerabilities related to Privacy

Domain 2: Privacy Architecture

Section A: Infrastructure

• Module 1: Technology Stacks
• Module 2: Cloud-based Services
• Module 3: Endpoints
• Module 4: Remote Access
• Module 5: System Hardening

Section B: Applications and Software

• Module 1: Secure Development Lifecycle (e.g., Privacy by Design)
• Module 2: Applications and Software Hardening
• Module 3: APIs and Services
• Module 4: Tracking Technologies

Section C: Technical Privacy Controls

• Module 1: Communication and Transport Protocols
• Module 2: Encryption, Hashing, and De-identification
• Module 3: Key Management
• Module 4: Monitoring and Logging
• Module 5: Identity and Access Management

Domain 3: Data Cycle

Section A: Data Purpose

• Module 1: Data Inventory and Classification (e.g., Tagging, Tracking, SOR)
• Module 2: Data Quality and Accuracy
• Module 3: Dataflow and Usage Diagrams
• Module 4: Data Use Limitation
• Module 5: Data Analytics (e.g., Aggregation, AI, Machine Learning, Big Data)

Section B: Data Persistence

• Module 1: Data Minimisation (e.g., De-identification, Anonymisation)
• Module 2: Data Migration
• Module 3: Data Storage
• Module 4: Data Warehousing (e.g., Data Lake)
• Module 5: Data Retention and Archiving
• Module 6: Data Destruction