Salesforce Salesforce-Data-Cloud - Salesforce Data CloudAccredited Professional Exam (SP25)

Data Cloud can address these two common use cases by providing a platform that allowscustomers to ingest, map, enrich, and activate data from various sources using the Customer 360 data model, and by enabling customers to create segments, insights, and activations based on their customer data. References: [Data Cloud Overview], [Customer 360 Data Model], [Data Activation]

This configuration will ensure that Data Cloud only ingests new files from the Amazon S3 bucket and updates or inserts new records into the data stream without deleting existing records. References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm &type=5

The data streams that use the Marketing Cloud Connector refresh data using MarketingCloud’s Automation Studio. The Marketing Cloud Connector is a feature that allows you to stream data from Marketing Cloud to Data Cloud in near real time. The connector uses Automation Studio to schedule and run data extracts from Marketing Cloud data extensions and send them to Data Cloud via SFTP. You canconfigure the frequency and time of the data extracts in Automation Studio. References: Marketing Cloud Connector

The Customer 360 data model is a conceptual model and a canonicalmodel. A conceptual model is a high-level representation of the entities and relationships in a domain of interest, without specifying any implementation details. A canonical model is a common and consistent data model that can be used across different systems and applications. References: [Customer 360 Data Model Overview], [Conceptual Model], [Canonical Model]

Numeric is the only type of measures that support aggregate functions. Measures are numeric fields that can be aggregated using functions such as SUM, AVG, MIN, MAX, or COUNT. For example, you can use a measure to calculate the total revenue or the average order value from your data. Date, Text, and Boolean are not types of measures, but types of dimensions. Dimensions are fields that can be used to group or filter data, but not to perform calculations. References: Measures andDimensions

To create a multi-dimensional metric to identify unified individual lifetime value (LTV), the administrator needs to join the following data model objects (DMOs) in the Calculated Insight:

Unified Individual: This DMOrepresents the unified profile of an individual, which contains attributes from multiple sources.

Unified Link Individual: This DMO represents the link between an Individual DMO and a Unified Individual DMO.

Sales Order: This DMO represents a transaction or purchase made by an individual.

The sequence of joins should start from the Unified Individual DMO, then join the Unified Link Individual DMO using the UnifiedIndividualId field, and then join the Sales Order DMO usingthe IndividualId field. This way, the administrator can access the sales order data for each unified individual and calculate their lifetime value.

To track the daily transaction volume for each customer in real time and send out a notification as soon as it detects volume outside a customer’s normal range, the administrator should use a Streaming Insight paired with a Data Action. A Streaming Insight is a metric that is calculated on streaming data as it is ingested into Data Cloud, allowing near-real-time analysis of customer behavior. A Data Action is an action that is triggered by a Streaming Insight, such as sending an email, updating a record, or calling an API. By using these features, the administrator can monitor and respond to customer transactions in real time.

When B2C Commerce Data Stream is created from the Order Bundle, 30 days of historical data is loaded. The Order Bundle is a preconfigured data bundle that contains order-related data from B2C Commerce Cloud. Data Stream is a feature that allows you to stream data from B2C Commerce Cloud to Data Cloud in near real time. References: B2C Commerce Data Stream

This is how Data Cloud handles an individual’s right to be forgotten. It deletes the individual record from the Individual data model object (DMO) and any related records from the data stream objects (DSOs) that are mapped to it. References:https://help.salesforce.com/s/articleView?id=sf.c360_a_da ta_cloud_delete_individual.htm&type=5

These two steps are required when configuring a Marketing Cloud activation. You need to select an activation target that represents a Marketing Cloud business unit and a contact point that represents a Marketing Cloud data extension.References:https://help.sales force.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud.htm&type=5