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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

SectionObjectives
Data Cloud Setup and Administration- Manage Data Cloud permissions and security
- Configure Data Cloud settings
Segmentation and Calculated Insights- Create and manage segments
- Explain calculated insights
Data Ingestion and Modeling- Describe data streams and data sources
- Explain data modeling concepts including Data Model Objects (DMOs)
Data Cloud Overview- Describe the Data Cloud ecosystem and how it fits into the Salesforce platform
- Explain the purpose and functionality of Data Cloud
Data Cloud Reporting and Analytics- Utilize Data Cloud reports and dashboards
Identity Resolution- Describe matching and reconciliation rules
- Explain the purpose and configuration of Identity Resolution
Activation- Configure activations to various targets
- Describe activation use cases

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q57-Q62):

NEW QUESTION # 57
Which two statements about Data Cloud's Web and Mobile App connector are true?

Answer: A,B

Explanation:
The app details page shows the status of the app, such as active, inactive, or error. The tenant specific endpoint is a unique URL that isgenerated for each app and used to send data to Data Cloud from theweb or mobile SDK.References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_web_mobile_app_connector.htm&type=5


NEW QUESTION # 58
How does identity resolution select attributes for unified individuals when there Is conflicting information in the data model?

Answer: D

Explanation:
Identity resolution is the process of creating unified profiles of individuals by matching and merging data from different sources. When there is conflicting information in the data model, such as different names, addresses, or phone numbers for the same person, identity resolution leverages reconciliation rules to select the most accurate and complete attributes for the unified profile. Reconciliation rules are configurable rules that define how to resolve conflicts based on criteria such as recency, frequency, source priority, or completeness. For example, a reconciliation rule can specify that the most recent name or the most frequent phone number should be selected for the unified profile. Reconciliation rules can be applied at the attribute level or the contact point level. References: Identity Resolution, Reconciliation Rules, Salesforce Data Cloud Exam Questions


NEW QUESTION # 59
What component of Calculated Insights can be included as attribute data in an activation?

Answer: D

Explanation:
Explanation
Dimensions are attributes that can be used to group or filter data in calculated insights. You can include dimensions as attribute data in an activation by selecting them from the available attributes list.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_calculated_insights.htm&type=5


NEW QUESTION # 60
Which two statements about Data Cloud's Web and Mobile App connector are true?

Answer: A,B

Explanation:
Explanation
The app details page shows the status of the app, such as active, inactive, or error. The tenant specific endpoint is a unique URL that is generated for each app and used to send data to Data Cloud from the web or mobile SDK. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_web_mobile_app_connector.htm&type=5


NEW QUESTION # 61
What are three benefits of Calculated Insights over Segmentation Operators?

Answer: B,D,E

Explanation:
Calculated Insights are predefined and calculated metrics that can help you build segments. Some of the benefits of Calculated Insights over Segmentation Operators are:
Calculated Insights are better suited for non-trivial calculations, such as calculating a Net Promoter Score as a percentage, which would require multiple steps and operators in segmentation.
Calculated Insights can query engagement data greater than 2 years, while segmentation operators are limited to 2 years of engagement data.
Calculated Insights are better suited for complex queries over multiple objects, such as joining data from different sources or aggregating data across different levels.


NEW QUESTION # 62
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