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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Privacy Engineering | 30% | - Integrating Privacy into the System Development Life Cycle (SDLC) - Privacy Impact Assessments - Data Protection by Design |
| Topic 2: The Privacy Technologist's Role and Perspective | 10% | - Privacy Engineering and Privacy by Design - The Role of the Privacy Technologist |
| Topic 3: Privacy Threats and Violations | 10% | - Threats to Privacy - Data Breaches |
| Topic 4: Privacy by Design | 10% | - The Seven Foundational Principles |
| Topic 5: Technical Measures and Privacy Enhancing Technologies | 30% | - Encryption and Pseudonymization - Privacy Enhancing Technologies (PETs) - De-identification and Anonymization |
| Topic 6: The Privacy Environment | 10% | - Jurisdictional Variances - Laws and Regulations |
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NEW QUESTION # 34
What was the first privacy framework to be developed?
Answer: A
Explanation:
The first privacy framework to be developed was the OECD Privacy Principles. These principles were introduced by the Organization for Economic Co-operation and Development (OECD) in 1980 and laid the groundwork for many subsequent privacy laws and regulations. The OECD Privacy Principles include guidelines on data collection, data quality, purpose specification, use limitation, security safeguards, openness, individual participation, and accountability. These principles have had a significant influence on the development of privacy practices worldwide (IAPP, Certified Information Privacy Technologist (CIPT) materials).
NEW QUESTION # 35
Which of the following methods does NOT contribute to keeping the data confidential?
Answer: A
Explanation:
Referential integrity is a database concept that ensures the validity of relationships between data points in different tables but does not directly address data confidentiality. The methods that contribute to data confidentiality include differential privacy, homomorphic encryption, and k-anonymity, as these techniques are specifically designed to protect the privacy and confidentiality of the data subjects. The IAPP emphasizes that confidentiality involves measures to prevent unauthorized access and disclosures, which referential integrity does not inherently provide.
NEW QUESTION # 36
SCENARIO
Clean-Q is a company that offers house-hold and office cleaning services. The company receives requests from consumers via their website and telephone, to book cleaning services. Based on the type and size of service, Clean-Q then contracts individuals that are registered on its resource database - currently managed in-house by Clean-Q IT Support. Because of Clean-Q's business model, resources are contracted as needed instead of permanently employed.
The table below indicates some of the personal information Clean-Q requires as part of its business operations:
Clean-Q has an internal employee base of about 30 people. A recent privacy compliance exercise has been conducted to align employee data management and human resource functions with applicable data protection regulation. Therefore, the Clean-Q permanent employee base is not included as part of this scenario.
With an increase in construction work and housing developments, Clean-Q has had an influx of requests for cleaning services. The demand has overwhelmed Clean-Q's traditional supply and demand system that has caused some overlapping bookings.
Ina business strategy session held by senior management recently, Clear-Q invited vendors to present potential solutions to their current operational issues. These vendors included Application developers and Cloud-Q's solution providers, presenting their proposed solutions and platforms.
The Managing Director opted to initiate the process to integrate Clean-Q's operations with a cloud solution (LeadOps) that will provide the following solution one single online platform: A web interface that Clean-Q accesses for the purposes of resource and customer management. This would entail uploading resource and customer information.
A customer facing web interface that enables customers to register, manage and submit cleaning service requests online.
A resource facing web interface that enables resources to apply and manage their assigned jobs.
An online payment facility for customers to pay for services.
Considering that LeadOps will host/process personal information on behalf of Clean-Q remotely, what is an appropriate next step for Clean-Q senior management to assess LeadOps' appropriateness?
Answer: D
NEW QUESTION # 37
Combining multiple pieces of information about an individual to produce a whole that is greater than the sum of its parts is called?
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.
Reference:
NIST Special Publication 800-122, Guide to Protecting the Confidentiality of Personally Identifiable Information (PII).
NEW QUESTION # 38
Which is the most accurate type of biometrics?
Answer: C
NEW QUESTION # 39
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