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A financial institution is migrating its customer transaction data from a relational database (RDBMS) to Adobe Real-Time CDP. The institution's transaction records include data points like customer ID, account type, transaction type, transaction amount, and transaction date. The data architect must ensure the transaction data can be linked to individual customer profiles in Adobe Real-Time CDP while also ensuring the data model maintains performance for real-time analysis and personalization use cases. What is the best approach to model this data in Adobe Real-Time CDP's NoSQL data model?

• A.Create an Experience Data Model (XDM) Individual Profile schema for each customer and link transactions via relationships
• B.Create an XDM Experience Event schema for each transaction type
• C.Create a custom entity schema for each transaction type
• D.Create an XDM Experience Event schema for transactions and link it to the individual customer profile via the customer ID

A data architect for a global retailer wants to ingest batch data into Adobe Real-Time Customer Data Platform. The data consists of a large number of customer profiles that need to be loaded in bulk. The architect is also looking to reduce the load on the infrastructure while maintaining high throughput. Which method would the architect use to load batch data into the Adobe Real-Time CDP effectively?

• A.Using a single HTTP API request to send a batch of messages
• B.Using the Batch Ingestion API with specified batch sizes
• C.Using the Adobe Real-Time Customer Data Platform directly without APIs

A marketer needs to target their ads to premium customers who are frequent visitors and have made purchases over the value of $10,000 in the past six months. What type of segmentation criteria would best suit this use case in Adobe Real-Time CDP?

• A.Profile-based segmentation with the criteria on purchase behavior and loyalty
• B.Time-based segmentation with the criteria on purchase behavior and loyalty
• C.Population-based segmentation with the criteria on purchase behavior and loyalty
• D.Event-based segmentation with the criteria on purchase behavior and loyalty

A data engineer encounters persistent ingestion failures for a batch ingestion in the Adobe Real-Time CDP.
To troubleshoot and resolve the issue, what two steps would the data engineer take? (Choose two.)

• A.Review the data in the Batch Preview Service
• B.Enable Error diagnostic on the Source Connector settings
• C.Consult the Adobe Developer Console for error logs
• D.Enable the 'Error Reporting' function in the Profile tab
• E.Review the Failed Ingestion Records in Source connection UI

A large healthcare company has a legacy system which leverages a relational database management system (RDBMS) to keep track of patient records and has multiple tables that represent different entities like demographics, patient visits, diagnoses, treatments and insurance. The company is planning to use Adobe Real-Time Customer Data Platform (Adobe Real-Time CDP) to consolidate all their patient data and help in deriving meaningful insights. They plan to use Adobe Real-Time CDP to translate their RDBMS data model to Experience Data Model (XDM) for ease of data management and real-time analytics. However, they need to ensure that they translate their data model optimally to take full advantage of Adobe Real-Time CDP's features while keeping consistency and data integrity. Considering the data relations, which approach would the data architect adopt to best migrate RDBMS data into XDM?

• A.Create XDM schemas with two classes: demographics and patient events
• B.Create an XDM profile to capture demographics data and corresponding XDM events stitched from primary identities
• C.Create a single monolithic XDM schema to replicate the current RDBMS structure
• D.Create multiple XDM schemas representing each table in the existing RDBMS and link them using composite keys