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Answer: Data retention policies can be implemented by setting data expiration rules based on the creation or modification date of the data and automating the deletion process to ensure data is retained within the required 5 to 7-year window.
Data retention policies are crucial for compliance with GDPR and other regulatory requirements, especially when handling sensitive customer data. In Azure Databricks, these policies can be effectively implemented by setting data expiration rules that automatically manage the lifecycle of the data. This includes automating the deletion process to ensure that data is not retained beyond the specified 7-year limit, while also ensuring it is kept for the minimum required 5 years. This approach not only ensures compliance but also optimizes storage costs and reduces the risk of unauthorized access to outdated data.
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In the context of data governance within an Azure Databricks environment, a company is looking to implement data retention policies to ensure compliance with GDPR and other regulatory requirements. The company stores sensitive customer data that must be retained for a minimum of 5 years but no longer than 7 years. Which of the following options best describes how to effectively implement data retention policies in Azure Databricks to meet these requirements? (Choose one correct answer)
A
Data retention policies are not necessary for compliance with GDPR and other regulatory requirements, as Azure Databricks automatically handles all data retention needs.
B
Data retention policies can be implemented by manually tracking the age of data and deleting it once it exceeds the 7-year limit, without the need for automation.
C
Data retention policies can be implemented by setting data expiration rules based on the creation or modification date of the data and automating the deletion process to ensure data is retained within the required 5 to 7-year window.
D
Data retention policies are only applicable to non-sensitive data and do not need to be implemented for sensitive customer data stored in Azure Databricks.