A data architect is designing a Real - Time Customer Profile to capture user interactions across multiple channels for an online media company. The company tracks user interactions such as article reads, video views, and ad clicks across its website, app, and email newsletters. Currently, the Real - Time Customer Profile schema design contains a User Profile Class and an Experience Event Class. The Experience Event Class captures each interaction as a separate event record and contains an identity field (user_id) linking to the user profile. Upon review, the data architect realizes that the schema design is unable to accurately capture the sequence of interactions made by a single user during one session (defined as a continuous period of activity without more than 30 minutes of inactivity). How should the data architect modify the schema design to better capture the sequence of user interactions within a single session in the Real - Time Customer Profile?

A media company uses Adobe Experience Platform to process large quantities of media consumption data. This data was previously stored in a relational database management system (RDBMS) but has been migrated to the Adobe Real - Time CDP's NoSQL data model for improved scalability and performance. The data set includes information such as user ID, media content ID, play duration, pause durations, and timestamps of each interaction. Which combination of Experience Data Model (XDM) schemas should be used to efficiently capture and retrieve this data with the Adobe Real - Time CDP's NoSQL data model, considering the real - time analytics needs?

A company collects customer data from various sources, including customer relationship management (CRM) systems, website interactions, and in - store purchases. To create a unified Real - Time Customer Profile in Adobe Experience Platform, which approach should be taken?

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 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?