A company has completed their implementation of Adobe Experience Platform (AEP) and is successfully onboarding data and profiles. The company's data steward is reviewing the license dashboard and notices that Addressable Audience is significantly exceeding the license amount.
The data steward must take steps to keep Addressable Audience in line with the license amount.
Which two mechanisms are available for the data steward to reduce the size of Addressable Audience in AEP for profiles that have already been onboarded? (Choose two.)

What actions can alerts in Adobe RT-CDP trigger? (Select two.)

A marketer views the license usage dashboard first thing in the morning and notices the average profile richness metric is hovering around 300KB per profile when they only have 100KB in their contract. The marketer appropriately identifies a dataset causing the issue and determines they can drop the entire dataset without impacting their marketing use cases. They know the dataset contributes around ~150KB of average profile richness per profile. When the marketer reviews the dashboard license usage dashboard before the end of the day, they notice it has not been updated with the 150KB of richness removed. They confirm the data is deleted from the profile and are confused.
Assuming no other factors are present that are contributing to the average profile richness, why is the dashboard still showing the old value of 300KB?

A global e-commerce company wants to leverage Adobe RTCDP to implement different types of segmentation (edge, streaming, batch) to drive personalized marketing campaigns and optimize customer experiences.
The company aims to deliver real-time, dynamic, and relevant content to their customers across multiple touchpoints and wish to engage their customers with relevant messages while the customer is engaging with the brand.
What are the two best two options to consider? (Choose two.)

A data architect is asked to create an XDM Individual Profile class-based schema from the relational data model seen in the attached exhibit. From what the architect is told, the business has collected and stored the history of all home addresses (could be hundreds) used by a customer since the beginning. All addresses have a type of home but only a single address has the primary indicator flag set. The marketing team needs to be able to utilize this data for both audience/segment creation and in personalization.
Given the above relational model, what is the best way to translate this into a single schema?