Which is NOT a suitable method for assuring the quality of data collected by a third-party company?
Answer(s): C
Introducing erroneous data to see if it's detected is not a suitable method for assuring the quality of data collected by a third-party company. This method could compromise the integrity and reliability of the data and cause confusion or harm to the users or the business. The other options are suitable methods for assuring the quality of data collected by a third-party company. Verifying the accuracy of the data by contacting users can help identify and correct any errors or inconsistencies in the data. Validating the company's data collection procedures can help ensure that they follow best practices and standards for collecting, storing, and processing personal information. Tracking changes to data through auditing can help monitor and document any modifications or deletions made to the data.https://www.isaca.org/resources/news-and-trends/industry-news/2021/data-minimization-a- practical-approach
A valid argument against data minimization is that it?
Answer(s): A
A valid argument against data minimization is that it can limit business opportunities. Data minimization refers to limiting the collection, storage, and processing of personal information to only what is strictly necessary for business operations. 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 it.https://www.manageengine.com/data-security/what-is/data-minimization.html
What is the main reason a company relies on implied consent instead of explicit consent from a user to process her data?
What is the main benefit of using dummy data during software testing?
Answer(s): D
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Leo commented on October 30, 2023 data quality oecd Anonymous upvote
Leo commented on October 30, 2023 data quality OECD Anonymous upvote