Adobe AD0-E600 Dumps

After creating the Entity Relationship (Diagram (ERD) of the data sources that will be connected into an AEP implementation for a utility company, the service details (including information such as name, cost type, and category) appear multiple times across different entities (for example, in the transactional events and m the customer profile details).

When designing the XDM data model for that ERD, the data architect and the business stakeholders validate that the service details information must be included at both levels, record, and time series. The service details will be used multiple times within the same structure.

How should the service details be defined in the AEP data model to make it consistent and re-usable?

A national workout studio chain is introducing a new Family discount program. They have already deployed AEP with the following data model:

• Members Schema (Individual Profile Based):

• Primary ID: Member ID

• Secondary IDs: Email Hash. Phone Hash

• Training Sessions Management (Experience Event):

• Primary ID: Member ID

• Secondary IDs: ECID

• Subscription Management (Experience Event):

• Primary ID: Email Hash

• Secondary IDs: ECID

The workout studio wants to be able to use all of this information together with the family details to segment For example, they want to target families where one family member trams daily or one family member has the yearly subscription plan.

To start collecting Family information, the workout studio creates a form where the members can create a Family account and associate the different members to it The form will collect a list of Member IDs and generate a Family ID. A data architect will design a new schema to store the Family information.

Which identities should be used in the schema(s) to collect this form information?

There are two existing entities in the Real-time Customer Profile store: one profile record and one event.

Both the event schema and profile schema have "email" as the primary identity. The _id is used to identify unique events.

Later, a data engineer ingests one additional profile fragment and another event:

Profile: ("email": "john@example.com*. "favBrand': "Adobe")

Event: {‘’_id": '5000". "email": "john@example.com". "purchase": "Photoshop 2021")

What will the profile attributes and event look like when doing a profile lookupforjohn@example.com?

A)

B)

C)

D)