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| Section | Objectives |
|---|---|
| Data Cloud Setup and Administration | - Manage Data Cloud permissions and security - Configure Data Cloud settings |
| Data Cloud Overview | - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform - Explain the purpose and functionality of Data Cloud |
| Identity Resolution | - Describe matching and reconciliation rules - Explain the purpose and configuration of Identity Resolution |
| Segmentation and Calculated Insights | - Explain calculated insights - Create and manage segments |
| Activation | - Describe activation use cases - Configure activations to various targets |
| 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 |
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NEW QUESTION # 36
Which of the following are characteristics of Formulas? (Choose 2)
Answer: A,D
Explanation:
These are two characteristics of Formulas. Formulas are a feature that allows you to create custom fields in the data model using simple logic on a row-based operation. For example, you can use a formula to create a field that concatenates the first name and last name of an individual. Formulas are easyto use and self-service, meaning that you can create them without coding or complex queries. You can use formulas to enrich your data and create more meaningful segments and insights. References: Formulas
NEW QUESTION # 37
Northern Trail Outfitters wants to be able to calculate each customer's lifetime value (LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels. How should this use case be addressed in Data Cloud?
Answer: B
Explanation:
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
NEW QUESTION # 38
Cloud Kicks has received a Request to be Forgotten by a customer. In which two ways can Data Cloud honor this request?
Answer: B,C
Explanation:
These two ways can help Data Cloud honor a request to be forgotten by a customer. The Consent API allows you to set a consent flag for an individual that prevents further processing of their data and deletes their records from source data streams. The delete from file functionality allows you to upload a file with individual IDs that will be deleted from Data Cloud. References: https://help.salesforce.com/s/articleView?
id=sf.c360_a_data_cloud_consent_api.htm&type=5https://help.salesforce.com/s/articleView?id=sf.
c360_a_data_cloud_delete_from_file.htm&type=5
NEW QUESTION # 39
How does an administrator increase the consolidation rate for Identity Resolution?
Answer: C
Explanation:
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. If there are too many matching rules, Data Cloud might find more than one match for a given profile, resulting in a lower consolidation rate. Reference: Identity Resolution Match Rules
NEW QUESTION # 40
Which three options can be used to build a filter in the Segmentation Canvas?
Answer: A,B,C
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 # 41
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