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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Foundational Principles of Privacy in Technology | 13-15% | - Data lifecycle concepts - OECD Privacy Principles - Fair Information Practice Principles (FIPPs) - Origins and evolution of privacy |
| Topic 2: Emerging Technologies and Privacy Governance | 8-12% | - Cloud, AI, IoT and big data privacy considerations - Privacy impact assessments - Governance frameworks and controls |
| Topic 3: Privacy Engineering and Technical Measures | 18-22% | - Encryption and access controls - Data minimization, anonymization, pseudonymization - Privacy-enhancing technologies (PETs) - Audit, monitoring and accountability |
| Topic 4: Privacy Risks, Threats and Violations | 15-19% | - Risk assessment frameworks (LINDDUN, etc.) - Vulnerabilities in systems and data flows - Surveillance, tracking and profiling risks - Types of privacy harms |
| Topic 5: Data Handling Lifecycle | 12-16% | - Collection and limitation - Use, processing and retention - Disclosure, transfer and sharing - Secure destruction and disposal |
| Topic 6: Privacy Technologist's Role in the Organization | 7-9% | - Alignment with legal, compliance and business teams - Roles and responsibilities - Translating privacy requirements into technical terms |
| Topic 7: Privacy by Design | 20-24% | - Proactive vs reactive approaches - Privacy throughout the software development lifecycle - Value-sensitive design - Core principles of Privacy by Design |
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問題 #63
SCENARIO
Please use the following to answer the next question:
Light Blue Health (LBH) is a healthcare technology company developing a new web and mobile application that collects personal health information from electronic patient health records. The application will use machine learning to recommend potential medical treatments and medications based on information collected from anonymized electronic health records. Patient users may also share health data collected from other mobile apps with the LBH app.
The application requires consent from the patient before importing electronic health records into the application and sharing it with their authorized physicians or healthcare provider. The patient can then review and share the recommended treatments with their physicians securely through the app. The patient user may also share location data and upload photos in the app. The patient user may also share location data and upload photos in the app for a healthcare provider to review along with the health record. The patient may also delegate access to the app.
LBH's privacy team meets with the Application development and Security teams, as well as key business stakeholders on a periodic basis. LBH also implements Privacy by Design (PbD) into the application development process.
The Privacy Team is conducting a Privacy Impact Assessment (PIA) to evaluate privacy risks during development of the application. The team must assess whether the application is collecting descriptive, demographic or any other user related data from the electronic health records that are not needed for the purposes of the application. The team is also reviewing whether the application may collect additional personal data for purposes for which the user did not provide consent.
What is the best way to ensure that the application only collects personal data that is needed to fulfill its primary purpose of providing potential medical and healthcare recommendations?
答案：D
解題說明：
Primary Purpose Principle: Ensuring that data collection is strictly for fulfilling the primary purpose helps in maintaining data minimization and relevance.
Mapping Data to Functionality: Documenting each personal data category and mapping it to specific app functions or features ensures that only the necessary data is collected and used. This approach adheres to the principle of data minimization, a core aspect of Privacy by Design.
Data Inventory and Mapping: Creating a comprehensive data inventory that links each piece of personal data to its specific use case in the application helps in justifying the necessity of data collection and provides transparency.
Reference: The IAPP guidelines on conducting Privacy Impact Assessments (PIAs) highlight the importance of data mapping in identifying and documenting the personal data collected and ensuring it aligns with the application's functionalities and purposes.
問題 #64
In day to day interactions with technology, consumers are presented with privacy choices. Which of the following best represents the Privacy by Design (PbD) methodology of letting the user choose a non-zero-sum choice?
答案：A
解題說明：
* Option A: While using positive imagery and language can influence user behavior, it doesn't specifically address the principle of non-zero-sum choices, which are about providing meaningful privacy choices that do not require users to sacrifice one benefit for another.
* Option B: This option aligns with the Privacy by Design (PbD) principle of empowering users with clear, understandable choices that allow them to protect their privacy without facing undue complexity or negative consequences. This reflects a non-zero-sum approach where privacy is integrated seamlessly and transparently into the user experience.
* Option C: Displaying what other users chose can create a herd effect but does not inherently relate to non-zero-sum choices, which are about giving users meaningful and balanced privacy options.
* Option D: Using priming techniques can assist in decision-making but does not specifically address the principle of non-zero-sum choices.
References:
* IAPP CIPT Study Guide
* Privacy by Design Framework
問題 #65
it Is Important for a privacy technologist to understand dark patterns In order to reduce the risk of which of the following?
答案：A
解題說明：
it is important for a privacy technologist to understand dark patterns in order to reduce the risk of manipulation of a user's choice. Dark patterns are user interface design choices that are intended to manipulate users into taking actions they might not otherwise take.
問題 #66
A retail organization is undergoing an internal privacy audit, and wants to gauge the adherence to data access restrictions by its employees. Which of the following evidence best supports this objective?
答案：A
解題說明：
CIPT and audit frameworks (ISO/IEC 27002, NIST 800-53, SOC 2) specify that the strongest evidence of compliance with access restrictions is actual system logs showing user activity.
A trail of user actions (audit logs) provides:
* Evidence of what data employees accessed
* Date, time, user ID, system component
* Ability to detect unauthorized access or policy violations
* Verification of enforcement of least privilege and RBAC controls
* Objective proof of compliance or non-compliance
This is exactly the type of evidence auditors rely on to validate access control effectiveness.
Why the other options are weaker evidence:
* B - Summary of access policies: Shows what should happen, not what did happen.
* C - Interviews: Provide insight but not objective, verifiable evidence.
* D - RBAC mapping document: Shows intended design, not whether employees adhered to restrictions in practice.
CIPT stresses that privacy compliance requires verifying actual behavior, not just policy documentation.
問題 #67
What is the key idea behind the "flow" component of Nissenbaum's contextual integrity model?
答案：A
解題說明：
The "flow" component of Nissenbaum's contextual integrity model refers to how personal information moves within a particular context or domain. This model emphasizes that privacy is maintained when information flows according to norms appropriate to that context. For example, health information shared between a patient and doctor should not be shared outside the medical context without consent.
問題 #68
......
在這個資訊時代，IT行業被很多人關注，但是在如今人才濟濟的社會裏任然比較缺乏IT人。很多公司都招聘IT人才，他們一般考察IT人才的能力會參考他們擁有的IT相關認證證書，所以擁有一些IT相關的認證證書是受很多公司歡迎的。但是這些認證證書也不是很容易就能拿到的。IAPP CIPT 就是一個相當有難度的認證考試，雖然很多人報名參加IAPP CIPT考試，但是通過率並不是很高。
最新CIPT考題: https://www.testpdf.net/CIPT.html
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