Free Adobe AD0-E605 Exam Dumps Questions & Answers

A multinational company is transitioning its on-premises data warehouse to the Adobe Experience Platform in an attempt to reap the benefits of real-time data and cloud scalability. The current data warehouse includes a complex set of relational databases with numerous tables including Orders, OrderDetails, Customers, Products, and Suppliers. The Orders and OrderDetails are interconnected with a one-to-many relationship, while the rest of the tables have many-to-many relationships.
Which two approaches should be followed while translating this release database management system (RDBMS) schema to Adobe Real-Time Customer Data Platform's (Adobe Real-Time CDP) NoSQL data model, considering the maintenance of data relationships? (Choose two.)

• A.  Create separate experience data model schemas for each entity and use nested fields to store related data
• B.  Create separate experience data model schemas for each entity, use lookup fields for one-to-many relationships, and use arrays to maintain many-to-many relationships
• C.  Create separate schemas for each entity and build foreign key relationships similar to the SQL model
• D.  Create only two schemas: one for Customers and another for all related entities
• E.  Develop a custom schema for each entity, linking them together using relationship identifiers within nested fields of the schema

A company has two identities (CRM ID and Email ID) that can be used to define their customers in their customer relationship management (CRM) system However, not all customers have provided their Email ID.
but all customers have a unique CRM ID The CRM data stored in the system takes the form:

The company wishes to construct a single view of their customer in Real-time Customer Profile. Which two steps would they take to avoid having Incomplete customer profiles'' (Choose two.)

• A.  Mark CRM ID as the primary identity in their Experience Data Model (XDM) schema
• B.  Treat the CRM ID and Email ID as separate identities in the XDM schema
• C.  Establish both the CRM id and Email id as co-primary identities in their xdm schema
• D.  Remove any profiles without an Email ID before Ingestion into Real-Time Customer Profile
• E.  Mark Email ID as the primary identity in their XDM schema

A marketing manager wants to activate a segment across multiple channels for consistent and personalized messaging. What is the key consideration when activating this audience from the Adobe Real-Time CDP?

• A.  All execution channels must be pre-setup with the same targeting templates.
• B.  The data sent to each execution channel should only include the latest transaction data
• C.  Each execution channel should individually validate the segment data upon receipt.
• D.  The selected execution channels should have the ability to consume segment data.

A data engineer is troubleshooting an issue where clickstream data being ingested via Adobe's Web SDK into Adobe Real-Time CDP is not populating the desired segment. The segment is looking for visitors who have added an item to their cart but have not made a purchase in over 30 days. The source data consists of user interactions, collected in real-time. It is available in a structured format and includes information like click timestamp, visitor ID, event type (page view, item added to cart, purchase, etc.), and item details.
What is the possible cause for the error when trying to create the Edge Segment?

• A.  The SDK has not been configured to send data to the platform
• B.  The segment logic of 30 days between events does not meet Edge segmentation criteria.
• C.  The data being ingested does not include timestamp information
• D.  The data engineer has not specified that the data should populate this segment during ingestion.

A data scientist is working with Adobe Real-Time CDP and wants to ensure better monitoring of data streams. Which feature in the Adobe Experience Platform User Interface would the data scientist use to monitor the data ingestion process in real time?

• A.  Datastream Activity
• B.  Streaming end-to-end Monitoring
• C.  Dataset Management Dashboard
• D.  Data Quality and Compliance Dashboard