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| Section | Objectives |
|---|---|
| Identity Resolution | - Explain the purpose and configuration of Identity Resolution - Describe matching and reconciliation rules |
| Data Cloud Setup and Administration | - Manage Data Cloud permissions and security - Configure Data Cloud settings |
| Activation | - Configure activations to various targets - Describe activation use cases |
| Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Data Ingestion and Modeling | - Describe data streams and data sources - Explain data modeling concepts including Data Model Objects (DMOs) |
| Data Cloud Overview | - Explain the purpose and functionality of Data Cloud - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform |
| Segmentation and Calculated Insights | - Create and manage segments - Explain calculated insights |
1. Cumulus Financial uses Service Cloud as its CRM and stores mobile phone, home phone, and work phone as three separate fields for its customers on the Contact record. The company plans to use Data Cloud and ingest the Contact object via the CRM Connector.
What is the most efficient approach that a consultant should take when ingesting this data to ensure all the different phone numbers are properly mapped and available for use in activation?
A) Ingest the Contact object and map the Work Phone, Mobile Phone, and Home Phone to theContact Point Phone data map object from the Contact data stream.
B) Ingest the Contact object and create formula fields in the Contact data stream on the phonenumbers, and then map to the Contact Point Phone data map object.
C) Ingest the Contact object and then create a calculated insight to normalize the phone numbers,and then map to the Contact Point Phone data map object.
D) Ingest the Contact object and use streaming transforms to normalize the phone numbers fromthe Contact data stream into a separate Phone data lake object (DLO) that contains three rows,and then map this new DLO to the Contact Point Phone data map object.
2. A customer has multiple team members who create segment audiences that work in different time zones. One team member works at the home office in the Pacific time zone, that matches the org Time Zone setting.
Another team member works remotely in the Eastern time zone.
Which user will see their home time zone in the segment and activation schedule areas?
A) Both team members; Data Cloud adjusts the segment and activation schedules to the time zone of the logged-in user
B) Neither team member; Data Cloud shows all schedules in GMT.
C) The team member in the Eastern time zone.
D) The team member in the Pacific time zone.
3. A consultant needs to package Data Cloud components from one
organization to another.
Which two Data Cloud components should the consultant include in a
data kit to achieve this goal?
Choose 2 answers
A) Segments
B) Data model objects
C) Calculated insights
D) Identity resolution rulesets
4. If a data source does not have a field that can be designated as a primary key, what should the consultant do?
A) Select a field as a primary key and then add a key qualifier.
B) Create a composite key by combining two or more source fields through a formula field.
C) Remove duplicates from the data source and then select a primary key.
D) Use the default primary key recommended by Data Cloud.
5. What is the role of artificial intelligence (AI) in Data Cloud?
A) Creating dynamic data-driven management dashboards
B) Enhancing customer interactions through insights and predictions
C) Generating email templates for use cases
D) Automating data validation
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: B,D | Question # 4 Answer: B | Question # 5 Answer: B |
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