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IAPP CIPT Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Handling Lifecycle	12-16%	- Collection and limitation - Disclosure, transfer and sharing - Secure destruction and disposal - Use, processing and retention
Topic 2: Privacy Engineering and Technical Measures	18-22%	- Privacy-enhancing technologies (PETs) - Encryption and access controls - Data minimization, anonymization, pseudonymization - Audit, monitoring and accountability
Topic 3: Privacy Risks, Threats and Violations	15-19%	- Surveillance, tracking and profiling risks - Vulnerabilities in systems and data flows - Types of privacy harms - Risk assessment frameworks (LINDDUN, etc.)
Topic 4: Emerging Technologies and Privacy Governance	8-12%	- Governance frameworks and controls - Privacy impact assessments - Cloud, AI, IoT and big data privacy considerations
Topic 5: Privacy Technologist's Role in the Organization	7-9%	- Roles and responsibilities - Translating privacy requirements into technical terms - Alignment with legal, compliance and business teams
Topic 6: Privacy by Design	20-24%	- Value-sensitive design - Proactive vs reactive approaches - Privacy throughout the software development lifecycle - Core principles of Privacy by Design
Topic 7: Foundational Principles of Privacy in Technology	13-15%	- Origins and evolution of privacy - Fair Information Practice Principles (FIPPs) - Data lifecycle concepts - OECD Privacy Principles

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IAPP Certified Information Privacy Technologist (CIPT) Sample Questions (Q196-Q201):

NEW QUESTION # 196
Which of the following is considered a client-side IT risk?

A. An employee stores his personal information on his company laptop.
B. Security policies focus solely on internal corporate obligations.
C. An organization increases the number of applications on its server.
D. IDs used to avoid the use of personal data map to personal data in another database.

Answer: A

NEW QUESTION # 197
Combining multiple pieces of information about an individual to produce a whole that is greater than the sum of its parts is called?

A. Identification.
B. Insecurity.
C. Exclusion.
D. Aggregation.

Answer: D

Explanation:
Aggregation involves the combination of various data points to create a more comprehensive profile or dataset that provides greater insight than the individual pieces alone. This technique can pose privacy risks because it may reveal patterns and personal information that were not apparent when the data points were viewed separately. This practice is often discussed in privacy and data protection contexts where it can lead to inadvertent breaches of privacy if not managed properly.

NEW QUESTION # 198
Granting data subjects the right to have data corrected, amended, or deleted describes?

A. Use limitation.
B. Accountability.
C. Individual participation
D. A security safeguard

Answer: C

Explanation:
The concept described in the question pertains to Individual Participation, which is a principle found in various data protection frameworks, such as the OECD Privacy Guidelines and the GDPR. Individual Participation refers to the rights provided to data subjects to participate in the process of managing their personal data. This includes rights such as accessing their data, correcting inaccuracies, and requesting the deletion of their data. These rights empower individuals to have a say in how their data is used and ensure that it remains accurate and up-to-date.

NEW QUESTION # 199
To meet data protection and privacy legal requirements that may require personal data to be disposed of or deleted when no longer necessary for the use it was collected, what is the best privacy-enhancing solution a privacy technologist should recommend be implemented in application design to meet this requirement?

A. Implement automated deletion of off-site backup of personal data based on annual risk assessments.
B. Implement a process to delete personal data on demand and maintain records on deletion requests.
C. Securely archive personal data not accessed or used in the last 6 months. Automate a quarterly review to delete data from archive once no longer needed.
D. Develop application logic to validate and purge personal data according to legal hold status or retention schedule.

Answer: D

Explanation:
To meet data protection and privacy legal requirements regarding the disposal or deletion of personal data when it is no longer necessary, the best privacy-enhancing solution involves integrating robust application logic. Option C suggests developing application logic that validates and purges personal data according to its legal hold status or retention schedule. This approach ensures compliance with legal mandates for data retention and deletion, minimizing the risk of retaining unnecessary personal data. References to this can be found in IAPP's CIPT materials, specifically in the sections discussing data lifecycle management and legal compliance requirements.

NEW QUESTION # 200
What is the goal of privacy enhancing technologies (PETS) like multiparty computation and differential privacy?

A. To protect the security perimeter and the data items themselves.
B. To facilitate audits of third party vendors.
C. To protect sensitive data while maintaining its utility.
D. To standardize privacy activities across organizational groups.

Answer: C

NEW QUESTION # 201
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