Which solution meets the requirements for managing access to Personal Identifiable Information (PII) in a Delta Lake table?

The chosen solution effectively addresses the management of access to Personal Identifiable Information (PII) in a Delta Lake table by utilizing partitioning strategies that are aligned with access control requirements. By partitioning the data by the topic field, it becomes easier to enforce access control lists (ACLs) and execute delete statements specifically on the partitions containing PII. This granular control allows organizations to limit access to sensitive data while still being able to share non-sensitive information with wider audiences.

The concept of leveraging partition boundaries in access management is crucial in data governance, particularly when dealing with regulations on handling PII. This approach ensures that only authorized users can access the parts of the dataset containing sensitive information and facilitates compliance with privacy laws and regulations.

This method also helps improve data management efficiency. By isolating PII into distinct partitions, operations such as data deletion can be performed on those segments without impacting the overall performance and availability of non-PII data.

In contrast, other choices do not provide effective strategies for managing access to PII. For instance, simply deleting all data biweekly may not ensure that necessary compliance and access controls are maintained. Storing all data in a single partition while aiming for query performance fails to address the sensitive nature of PII and does