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IAPP CIPT or Certified Information Privacy Technologist certification is a globally recognized credential that verifies a professional's expertise in managing privacy risks and compliance requirements in technology products and services. Certified Information Privacy Technologist (CIPT) certification is designed for individuals who work in the field of privacy technology or are responsible for developing, implementing, and managing privacy programs within organizations.
The CIPT certification is aimed at professionals who are working with technology and data protection issues. Certified Information Privacy Technologist (CIPT) certification covers various aspects of privacy and data protection, including data governance, risk management, compliance, and emerging technologies. The CIPT Certification is designed to help professionals develop a comprehensive understanding of privacy and data protection technologies, and to help them stay up-to-date with the latest trends and developments in the field.
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The CIPT Exam covers a wide range of topics, including privacy laws and regulations, data protection techniques, security measures, and risk management. It is intended for individuals who work in IT, security, compliance, and data protection. Certified Information Privacy Technologist (CIPT) certification is recognized globally as a standard of excellence in the field of information privacy, and it is an essential credential for professionals who want to advance their careers in this field.
NEW QUESTION # 152
Combining multiple pieces of information about an individual to produce a whole that is greater than the sum of its parts is called?
Answer: B
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 # 153
A valid argument against data minimization is that it?
Answer: B
Explanation:
A valid argument against data minimization is that it can limit business opportunities23. Data minimization refers to limiting the collection, storage, and processing of personal information to only what is strictly necessary for business operations3. While this practice can help protect privacy and security, it can also restrict the potential uses and benefits of data for innovation, research, marketing, analytics etc.23. The other options are not valid arguments against data minimization, but rather arguments in favor of it23.
https://www.manageengine.com/data-security/what-is/data-minimization.html
NEW QUESTION # 154
What is the main issue pertaining to data protection with the use of 'deep fakes'?
Answer: D
Explanation:
Deep fakes pose a significant challenge to data protection primarily due to their potential to create and spread highly realistic but false information. According to the accuracy principle of data protection, personal data should be accurate and kept up to date. Deep fakes violate this principle by generating false representations of individuals, leading to potential harm and misinformation. This aligns with the guidelines provided in IAPP documentation that emphasizes the importance of maintaining accurate and truthful personal data to protect individuals' privacy and prevent harm.
NEW QUESTION # 155
An organization is reliant on temporary contractors for performing data analytics and they require access to personal data via software-as-a-service to perform their job. When the temporary contractor completes their work assignment, what woul
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