Microsoft Azure Data Engineer Associate - DP-203
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In your batch processing solution, you need to configure batch retention policies to manage the storage and lifecycle of the processed data. The organization has specific requirements for data retention, such as retaining data for a minimum of 10 years and allowing for data deletion after 15 years. How would you implement this functionality?
In your batch processing solution, you need to configure batch retention policies to manage the storage and lifecycle of the processed data. The organization has specific requirements for data retention, such as retaining data for a minimum of 10 years and allowing for data deletion after 15 years. How would you implement this functionality?
Explanation:
Option B is the correct approach as it leverages Azure Data Lake Storage Gen2's lifecycle management features to configure the retention policy. Azure Data Lake Storage Gen2 allows for setting policies that can retain data for a specific duration, such as 10 years, and delete data after a longer duration, such as 15 years. This meets the organization's specific requirements for data retention. Options A, C, and D do not provide the same level of control and flexibility for configuring batch retention policies.