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| Section | Objectives |
|---|---|
| Activation | - Describe activation use cases - Configure activations to various targets |
| Identity Resolution | - Describe matching and reconciliation rules - Explain the purpose and configuration of Identity Resolution |
| Data Cloud Overview | - Explain the purpose and functionality of Data Cloud - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform |
| Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Data Ingestion and Modeling | - Explain data modeling concepts including Data Model Objects (DMOs) - Describe data streams and data sources |
| Data Cloud Setup and Administration | - Configure Data Cloud settings - Manage Data Cloud permissions and security |
| Segmentation and Calculated Insights | - Explain calculated insights - Create and manage segments |
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NEW QUESTION # 74
Which three options can be used to build a filter in the Segmentation Canvas?
Answer: A,C,E
Explanation:
A window function is a unique requirement of a Streaming Insight query. It defines the time interval for the query to run on the streaming data and the frequency of the query execution. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
NEW QUESTION # 75
How many days of historical data is loaded when B2C Commerce Data Stream is created from the Order Bundle?
Answer: D
Explanation:
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
NEW QUESTION # 76
What is Data Cloud's primary value to customers?
Answer: C
Explanation:
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]
NEW QUESTION # 77
What can be customized in the Data Cloud canonical model?
Answer: D
Explanation:
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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_canonical_model.htm&type=5
NEW QUESTION # 78
When setting up the data source object or schema for data ingestion, what are the three data categories to select from?
Answer: B,C,E
Explanation:
These are the three data categories to select from when setting up the data source object or schema for data ingestion. Engagement data includes information about how customers interact with a brand or product, such as clicks, views, likes, etc. Order data includes information about transactions or purchases made by customers, such as order ID, amount, date, etc. Profile data includes information about customers' attributes or preferences, such as name, email, gender, etc. References: [Data Categories]
NEW QUESTION # 79
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