Use this quick start guide to collect all the information about IAPP CIPT Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the IAPP Certified Information Privacy Technologist (CIPT) exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual IAPP Certified Information Privacy Technologist (CIPT) certification exam.
The IAPP CIPT certification is mainly targeted to those candidates who want to build their career in Privacy Laws and Regulations domain. The IAPP Certified Information Privacy Technologist (CIPT) exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of IAPP Information Privacy Technologist.
IAPP CIPT Exam Summary:
| Exam Name | IAPP Certified Information Privacy Technologist (CIPT) |
| Exam Code | CIPT |
| Exam Price |
USD $First Time Candidate: $550 Retake: $375 |
| Duration | 150 mins |
| Number of Questions | 90 |
| Passing Score | 300 / 500 |
| Books / Training |
CIPT Body of Knowledge CIPT Exam Blueprint |
| Schedule Exam | CIPT |
| Sample Questions | IAPP CIPT Sample Questions |
| Practice Exam | IAPP CIPT Certification Practice Exam |
IAPP Information Privacy Technologist Exam Syllabus Topics:
| Topic | Details |
|---|---|
Foundational Principles |
|
|
General Understanding of Privacy Risk Models and Frameworks and their Roles in Laws and Guidance |
- FIPPs and OECD Principles - Privacy frameworks (e.g., NIST/NICE, ISO/IEC 27701 and BS100112 Privacy Information Management System) - Nissenbaum’s Contextual Integrity - Calo’s Harms Dimensions - FAIR (Factor Analysis in Information Risk |
| General Understanding of Privacy by Design Principles |
- Full Life Cycle Protection - Embedded into Design - Full Functionality - Visibility and Transparency - Proactive not Reactive - Privacy by Default - Respect for Users |
| General Understanding of Privacy-related Technology Fundamentals |
- Risk concepts (e.g., threats, vulnerability) - Data/security incidents vs. personal data/privacy breaches - Privacy and security practices within an organization - Understanding how technology supports information governance in an organization - External Data Protection and Privacy notices - Internal Data Protection and Privacy guidelines, policies and procedures - Third-party contracts and agreements - Data inventories, classification and records of processing - Enterprise architecture and data flows, including cross-border transfers - Data Protection and Privacy impact assessments (DPIA/PIAs) - Privacy related Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) |
| General Understanding of the Data Life Cycle |
- Collection - Use - Disclosure - Transfer - Retention - Destruction |
The Privacy Technologist’s Role in the Context of the Organization |
|
| General responsibilities |
- Understanding various roles within the privacy team (e.g., DPO, CPO, legal compliance, security - Implementing industry Privacy Standards and Frameworks - Translating legal and regulatory requirements into practical technical and/or operational solutions - Consulting on internal privacy notices and external privacy policies - Consulting on contractual and regulatory requirements |
| Technical Responsibilities |
- Advising on technology elements of privacy and security practices - Advising on the privacy implications of new and emerging technologies - Implementing privacy and security technical measures - Implementing and developing privacy-enhancing technologies and tools - Advising on the effective selection and implementation during acquisition of privacy impacting products - Advising on privacy by design and security and privacy impact assessments in systems development - Handling individuals’ rights requests (e.g., access, deletion) - Supporting records of processing activities (RoPA), automation of inventory and data flow mapping - Reviewing security incidents/investigations and advising on breach notification - Performing and supporting IT privacy oversights and audits including 3rd party assessment - Developing, compiling and reporting Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) |
Privacy Risks, Threats and Violations |
|
| Data Ethics |
- Legal versus Ethical (e.g., when working with countries that lack privacy laws) - Moral issues (e.g., gaining access to sensitive personal information through illegal means and using information for personal advantage) - Societal issues (e.g., manipulating societal conversations and attitudes on controversial topics) - Bias/discrimination (e.g., incorporating personal preference into data decisions) |
| During Data Collection |
- Asking individuals to reveal personal information - Tracking and surveillance (e.g., geo-tagging, geo-social patterns) - Lack of informed consent - Automatic collection - Inaccuracies - Extracting from publicly available sources - Jurisdictional implications (e.g., localization, government access) |
| During Data Use |
- Insecurity - Identification/re-identification - Aggregation - Secondary Use - Exclusion - Profiling |
| During Data Dissemination |
- Disclosure - Distortion - Exposure - Breach of Confidentiality (personal data breaches) - Increased accessibility - Blackmail - Appropriation |
| Intrusion, Decisional Interference and Self-Representation |
- Behavioral advertising - Cyberbullying - Social engineering - Blackmail - Dark patterns |
| Software Security |
- Vulnerability management - Intrusion detection and prevention - Change management (e.g., patches, upgrades) - Open-source vs Closed-source - Possible violations by service providers |
Privacy-Enhancing Strategies, Techniques and Technologies |
|
| Data Oriented Strategies |
- Separate - Minimize - Abstract - Hide |
|
Process Oriented Strategies
|
- Informing the Individual - User Control - Policy and Process Enforcement - Demonstrate Compliance |
| Techniques |
- Aggregation - De-identification - Anonymization - Pseudonymization - Encryption - Identity and access management - Authentication - Technology implications of Privacy Regulations and Techniques needed for:
|
Privacy Engineering |
|
| The Privacy Engineering role in the organization |
- Effective Implementation - Technological Controls - Protecting Privacy during the Development Lifecycle |
| Privacy Engineering Objectives |
- Predictability - Manageability - Disassociability |
| Privacy Design Patterns |
- Design patterns to emulate - Dark patterns to avoid |
| Privacy Risks in Software | - Controls/countermeasures |
Privacy by Design Methodology |
|
| The Privacy by Design Process |
- Goal Setting - Documenting Requirements - Understanding quality attributes - Identify information needs - Privacy risk assessment and analysis - High-level design - Low-level design and implementation - Impose controls
- Testing and validation |
| Privacy Interfaces and User Experience |
- Design Effects on User Behavior - UX Design and Useability of privacy-related functions - Privacy Notices, Setting and Consent Management - Usability Testing |
| Value Sensitive Design |
- How Design Affects Users - Strategies for Skillful Practice |
| Ongoing Vigilance |
- Privacy audits and IT control reviews - Code reviews - Code audits - Runtime behavior monitoring - Software evolution - Data cleansing in production and non-production environments |
Evolving or Emerging Technologies in Privacy |
|
| Robotics and Internet of Things (IoT) |
- Mobile phones - Wearable devices - Edge Computing - Smart homes and cities (e.g., CCTV and tracking/surveillance) - Robots - Drones |
| Internet/eCommerce |
- Adtech - Cookies and other webtracking technologies - Alerts and notifications - Location tracking - Chatbots - Online/mobile payments |
| Biometrics |
- Facial recognition - Speech recognition - Fingerprint ID - Behavioral profiling |
| Corporate IT Services |
- Shared Data centers - Cloud-based infrastructure - Third-party vendor IT solutions - Remote working - Video calls and conferencing |
| Advanced Computing |
- Data Management and Analytics - Artificial Intelligence - Quantum computing - Blockchain - Cryptocurrencies - Non-fungible tokens (NFT - Machine and Deep Learning |
| Social Networks |
- Social media - Messaging and video calling - Virtual/Augmented reality |
To ensure success in IAPP Information Privacy Technologist certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for IAPP Certified Information Privacy Technologist (CIPT) exam.