Master the Salesforce Data Cloud Accredited Professional Exam(WI24) Salesforce-Data-Cloud Exam with Confidence!

According to the Salesforce Data Cloud documentation1, the timezone used for Segmentation and Activation is the one set by the Salesforce Data Cloud org, not by the individual user or admin. This ensures consistency and accuracy across different users and regions.

A Data Model Object (DMO) that inherits the name, shape, and semantics of the reference object is called a Standard DMO. A reference object is a predefined object in the Data Cloud data model that represents a common entity or concept, such as Individual, Order, or Product. A Standard DMO is a copy of a reference object that you can use to ingest data from a specific source without modifying the original reference object. A Standard DMO has the same fields and relationships as the reference object, but you can add custom fields or relationships to it if needed. References: Data Model Objects

Reducing the number of matching rules can increase the consolidation rate for Identity Resolution, because it reduces the chances of finding multiple matches for the same individual. Matching rules tell Data Cloud which profiles to unify during the identity resolution process. Ifthere are too many matching rules, Data Cloud might find more than one match for a given profile, resulting in a lower consolidation rate. References: Identity Resolution Match Rules

This feature can help Northern Trail Outfitters calculate each customer’s lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Streaming data transformations allow you to transform and enrich streaming data from different sources using formulas and operators. References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_streaming_data_transform.htm &type=5

The maximum limit of the number of records for Full Refresh Extract Method is 10 million. Full Refresh Extract Method is an option for extracting data from Marketing Cloud to Data Cloud. It extracts all records from a data extension regardless of when they were created or modified. If the number of records exceeds 10 million, an error occurs and no records are extracted. References: Extract Methods

These two features support the need to calculate each customer’s lifetime value (LTV) and create breakdowns of the revenuesourced by different channels. Calculated Insight allows you to create complex calculations based on stored data, such as LTV. Segment allows you to create audiences based on different criteria, such as revenue source. References: https://help.salesforce.c om/s/articleView?id=sf.c360_a_calculated_insights.htm&type=5https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation.htm &type=5

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.

Data Cloud’s primary value to customers is that it provides a platform that enables customers to create a unified view of a customer and their related data across different channels andsystems, using the Customer 360 data model as the foundation. References: [Data Cloud Overview], [Customer 360 Data Model]

You can customize the Data Cloud canonical model by adding, editing, or deleting objects,fields, and relationships. You can also modify the properties, labels, and descriptions of these components. References:https://help.salesforce.c om/s/articleView?id=sf.c360_a_data_cloud_canonical_model.htm&type=5

A window function is a unique requirement of a Streaming Insight query. It defines the time interval for the queryto run on the streaming data and the frequency of the query execution. References:https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insigh ts.htm&type=5