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| Section | Objectives |
|---|---|
| Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Activation | - Describe activation use cases - Configure activations to various targets |
| Data Cloud Setup and Administration | - Manage Data Cloud permissions and security - Configure Data Cloud settings |
| Segmentation and Calculated Insights | - Explain calculated insights - Create and manage segments |
| Data Ingestion and Modeling | - Explain data modeling concepts including Data Model Objects (DMOs) - Describe data streams and data sources |
| 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 | - Explain the purpose and configuration of Identity Resolution - Describe matching and reconciliation rules |
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NEW QUESTION # 157
Which three components of Data Cloud can be bundled within a Data Kit?
Answer: B,D,E
Explanation:
These three components of Data Cloud can be bundled within a Data Kit. A Data Kit is a package that contains data model objects, segments, and data streams that can be installed in another Data Cloud org.
References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_kit.htm&type=5
NEW QUESTION # 158
The leadership team at Cumulus Financial has declared that customers who have deposited more than
$250,000 in the last 5 years and who are not using advisory services, will be the central focus for all new campaigns in the next year. Which two features support this need?
Answer: C,D
Explanation:
These two features support the need to calculate each customer's lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Calculated Insight allows you to create complex calculations based on stored data, such as LTV. Segment allows you to create audiences based on different criteria, such as revenue source. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_calculated_insights.htm&type=5
https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation.htm&type=5
NEW QUESTION # 159
A company wants to test its marketing campaigns with different target populations.
What should the consultant adjust in the Segment Canvas interface to get different populations?
Answer: B
Explanation:
Segmentation in Salesforce Data Cloud:
The Segment Canvas interface is used to define and adjust target populations for marketing campaigns.
Reference: Salesforce Segment Canvas Documentation
Elements for Adjusting Target Populations:
Direct Attributes: These are specific attributes directly related to the target entity (e.g., customer age, location).
Related Attributes: These are attributes related to other entities connected to the target entity (e.g., purchase history).
Population Filters: Filters applied to define and narrow down the segment population (e.g., active customers).
Reference: Salesforce Segmentation Guide
Steps to Adjust Populations in Segment Canvas:
Direct Attributes: Select attributes that directly describe the target population.
Related Attributes: Incorporate attributes from related entities to enrich the segment criteria.
Population Filters: Apply filters to refine and target specific subsets of the population.
Example: To create a segment of "Active Customers Aged 25-35," use age as a direct attribute, purchase activity as a related attribute, and apply population filters for activity status and age range.
Reference: Salesforce Segment Canvas Tutorial
Practical Application:
Navigate to the Segment Canvas.
Adjust direct attributes and related attributes based on campaign goals.
Apply population filters to fine-tune the target audience.
Reference: Salesforce Marketing Cloud Segmentation Best Practices
NEW QUESTION # 160
A customer has requested that their personal data be deleted. Which action should be performed to accommodate this request in Data Cloud?
Answer: C
Explanation:
This action should be performed to accommodate the request to delete personal data in Data Cloud. 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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5
NEW QUESTION # 161
What is a DMO called if it inherits the name, shape, and semantics of the reference object?
Answer: C
Explanation:
A Data Model Object (DMO) that inherits the name, shape, and semantics of the reference object is called a Standard DMO. A reference object is a predefined object in the Data Cloud data model that represents a common entity or concept, such as Individual, Order, or Product. A Standard DMO is a copy of a reference object that you can use to ingest data from a specific source without modifying the original reference object. A Standard DMO has the same fields and relationships as the reference object, but you can add custom fields or relationships to it if needed. References: Data Model Objects
NEW QUESTION # 162
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