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| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion and Modeling | - Explain data modeling concepts including Data Model Objects (DMOs) - Describe data streams and data sources |
| Topic 2: Activation | - Configure activations to various targets - Describe activation use cases |
| Topic 3: Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Topic 4: Data Cloud Overview | - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform - Explain the purpose and functionality of Data Cloud |
| Topic 5: Identity Resolution | - Describe matching and reconciliation rules - Explain the purpose and configuration of Identity Resolution |
| Topic 6: Data Cloud Setup and Administration | - Manage Data Cloud permissions and security - Configure Data Cloud settings |
| Topic 7: Segmentation and Calculated Insights | - Create and manage segments - Explain calculated insights |
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NEW QUESTION # 130
Which three Data Model objects do Reconciliation Rules operate across?
Answer: B,C,E
Explanation:
These are the three Data Model objects that Reconciliation Rules operate across. Reconciliation rules tell Data Cloud how to prioritize values for unified individual profiles when there is conflicting information in the data model. For example, if two profiles have different email addresses, reconciliation rules can determine which one to use for the unified profile. Reconciliation rules can operate on the Individual object, which represents a person or entity, the Party Identification object, which represents an identifier such as a social media handle or a loyalty card number, and the Contact Point Email object, which represents an email address. Reference: Identity Resolution Reconciliation Rules
NEW QUESTION # 131
Which functionality does Data Cloud offer to improve customer support interactions when a customer is working with an agent?
Answer: A
Explanation:
Customer Support in Salesforce Data Cloud: One of the key benefits of Salesforce Data Cloud is its ability to enhance customer support by providing comprehensive and real-time customer data.
Real-Time Data Integration: This functionality allows customer support agents to access the most up-to-date customer information, improving their ability to respond to customer inquiries and issues effectively.
Benefits for Customer Support:
Immediate Access: Agents have real-time access to customer interactions and data, ensuring they can provide accurate and timely support.
Contextual Information: The integrated data provides a holistic view of the customer's history and preferences, allowing for more personalized support interactions.
Use Case: When a customer contacts support, the agent can see real-time updates on recent purchases, interactions, and any ongoing issues, enabling them to resolve queries quickly and efficiently.
References:
Salesforce Data Cloud for Customer Support
Real-Time Data Integration in Salesforce
NEW QUESTION # 132
Cloud Kicks has received a Request to be Forgotten by a customer. In which two ways can Data Cloud honor this request?
Answer: C,D
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 sourcedata 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.salesfo
NEW QUESTION # 133
Which data model subject area should be used for any Organization, Individual, or Member in the Customer
360 data model?
Answer: C
Explanation:
Explanation
The party subject area should be used for any organization, individual, or member in the Customer 360 data model. It includes information such as name, address, email, phone, and loyalty membership.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_party.htm&type=5
NEW QUESTION # 134
What are the two distinct phases of data model management in Data Cloud?
Answer: B,D
Explanation:
These two phases are distinct phases of data model management in Data Cloud. Data ingestion is the process of bringing data from different sources into Data Cloud using connectors or APIs. Data modeling is the process of mapping the ingested data to the Data Cloud canonical model or creating custom data model objects. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_model.htm&type=5
NEW QUESTION # 135
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