A data analyst needs to implement data governance in Adobe Real-Time CDP handling sensitive personal data and ensuring compliance with privacy regulations. What are the three most suitable actions to facilitate this process? (Choose three.)

A comprehensive data governance strategy for sensitive data in Real-Time CDP involves three key actions. First, applying data usage labels to sensitive datasets (D) is the foundational step to classify data. Second, enabling stricter access control using RBAC and ABAC (E) ensures that only authorized users can view or manipulate this sensitive data. Third, leveraging Privacy Service to manage privacy job requests (B), such as data access or deletion requests from consumers, is essential for complying with regulations like GDPR and CCPA.

A. While labeling all data is good practice, the immediate priority for handling sensitive data and ensuring compliance is to label the sensitive datasets first.
C. Completely disabling the ability to export personal data is an overly broad and impractical measure; governance focuses on controlling exports based on policies.

1. Adobe Experience Platform Documentation. (2023). Data Governance overview. Adobe Experience League. Retrieved from https://experienceleague.adobe.com/docs/experience-platform/data-governance/home.html. (See the "Data usage labels" and "Data usage policies" sections.)

2. Adobe Experience Platform Documentation. (2023). Privacy Service overview. Adobe Experience League. Retrieved from https://experienceleague.adobe.com/docs/experience-platform/privacy/home.html. (See the "Introduction" which describes creating and managing privacy jobs.)

3. Adobe Experience Platform Documentation. (2023). Attribute-based access control overview. Adobe Experience League. Retrieved from https://experienceleague.adobe.com/docs/experience-platform/access-control/abac/overview.html. (This document explains how to use labels to restrict access to specific data.)