B.

Union schema

Explanation: According to the Adobe documentation2, a union schema is a feature of Real-Time CDP that can be used to view the amalgamation of all the fields contained within multiple schemas sharing the same class. A union schema is automatically generated by the platform and reflects the latest changes in the underlying schemas. A union schema can be used to create segments or explore profiles across different datasets.

A.

Policies

C.

Labels

Explanation: According to the Adobe documentation, policies and labels are two key components of the Data Governance framework within AEP. Policies are rules that define how data can be used based on data usage labels and destination labels. Labels are metadata tags that indicate the type, purpose, and usage of data and destinations. The Data Steward must consider these items during set up within AEP to ensure data quality, compliance, and governance.

C.

Attributes

B.

Share the segment using the Google Customer Match connection using hashed email addresses as the target identity

A.

Merge Policies

Explanation: According to the Adobe documentation, merge policies are a feature of Real-Time CDP that can be used to determine how data will be prioritized and what data will be combined to create a unified view of a customer profile. Merge policies define the rules and logic for merging profile attributes from different data sources into a single profile. Merge policies can be either predefined or custom, and they can be applied at the dataset level or the tenant level.

C.

Custom date

Explanation: According to the Adobe documentation, custom date is a type of
segmentation event recency that allows specifying a fixed date or a relative date based on a field in the dataset schema. This type of recency can be used to evaluate new users each day into a segment based on a specific date, such as the anniversary of their subscription date.

B.

File based destinations

B.

Email

Explanation: An example of a profile namespace is email. A profile namespace is a type or source of identity value that is used to identify a customer across different data sources. Email is a predefined profile namespace that represents the email address of a customer.