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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Privacy by Design | 20-24% | - Privacy throughout the software development lifecycle - Value-sensitive design - Core principles of Privacy by Design - Proactive vs reactive approaches |
| Topic 2: Emerging Technologies and Privacy Governance | 8-12% | - Governance frameworks and controls - Privacy impact assessments - Cloud, AI, IoT and big data privacy considerations |
| Topic 3: Foundational Principles of Privacy in Technology | 13-15% | - Data lifecycle concepts - Origins and evolution of privacy - Fair Information Practice Principles (FIPPs) - OECD Privacy Principles |
| Topic 4: Privacy Engineering and Technical Measures | 18-22% | - Privacy-enhancing technologies (PETs) - Encryption and access controls - Audit, monitoring and accountability - Data minimization, anonymization, pseudonymization |
| Topic 5: Privacy Risks, Threats and Violations | 15-19% | - Types of privacy harms - Risk assessment frameworks (LINDDUN, etc.) - Surveillance, tracking and profiling risks - Vulnerabilities in systems and data flows |
| Topic 6: Data Handling Lifecycle | 12-16% | - Secure destruction and disposal - Collection and limitation - Use, processing and retention - Disclosure, transfer and sharing |
| Topic 7: 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 |
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NEW QUESTION # 117
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.
The Privacy Team is conducting a Privacy Impact Assessment (PIA) for the new Light Blue Health application currently in development. Which of the following best describes a risk that is likely to result in a privacy breach?
Answer: B
Explanation:
Not encrypting health records when they are transferred to Light Blue Health servers can leave sensitive personal information vulnerable to interception and unauthorized access. This could result in a privacy breach if an attacker were able to access this unencrypted data.
NEW QUESTION # 118
How should the sharing of information within an organization be documented?
Answer: A
Explanation:
The sharing of information within an organization should be documented with a data flow diagram. A data flow diagram (DFD) visually represents the flow of data within a system, showing how data is processed and transferred between different parts of the organization. It helps to identify where data is stored, how it moves through various processes, and where it might be shared internally. This method provides a clear and comprehensive overview of data interactions, facilitating better understanding and management of data sharing practices.
NEW QUESTION # 119
Which Privacy by Design principle requires architects and operators to emphasize the interests of the individual by offering measures such as strong privacy defaults, appropriate notice, and user-friendly options?
Answer: B
Explanation:
The Privacy by Design principle that requires architects and operators to emphasize the interests of the individual by offering measures such as strong privacy defaults, appropriate notice, and user-friendly options is "Respect for user privacy." This principle ensures that user-centric privacy measures are embedded into the design and operation of systems.
Reference:
IAPP CIPT Study Guide, "Privacy by Design," which outlines the seven foundational principles of Privacy by Design, including respect for user privacy and its emphasis on user-centric measures.
NEW QUESTION # 120
If you are asked to advise on privacy concerns regarding paid advertisements, which is the most important aspect to cover?
Answer: B
NEW QUESTION # 121
A key principle of an effective privacy policy is that it should be?
Answer: B
Explanation:
A key principle of an effective privacy policy is that it should be presented with external parties as the intended audience1. This means that the privacy policy should be clear, easily understandable, and accessible to anyone who interacts with the organization or its services. The privacy policy should also inform external parties about how their personal data is collected, processed, stored, shared, and protected by the organization2. The other options are not principles of an effective privacy policy, but rather potential pitfalls or limitations.
NEW QUESTION # 122
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