Salesforce-Data-Cloud Pass Test | Regualer Salesforce-Data-Cloud Update

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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

SectionObjectives
Segmentation and Calculated Insights- Explain calculated insights
- Create and manage segments
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
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
Data Ingestion and Modeling- Explain data modeling concepts including Data Model Objects (DMOs)
- Describe data streams and data sources
Activation- Configure activations to various targets
- Describe activation use cases

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q83-Q88):

NEW QUESTION # 83
How does Data Cloud handle an individual's right to be forgotten?

Answer: B

Explanation:
This is how Data Cloud handles an individual's right to be forgotten. It deletes the individual record from the Individual data model object (DMO) and any related records from the data stream objects (DSOs) that are mapped to it. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_delete_individual.htm&type=5


NEW QUESTION # 84
What is the maximum limit of the number of records for Full Refresh Extract Method?

Answer: D

Explanation:
Explanation
The maximum limit of the number of records for Full Refresh Extract Method is 10 million. Full Refresh Extract Method is an option for extracting data from Marketing Cloud to Data Cloud. It extracts all records from a data extension regardless of when they were created or modified. If the number of records exceeds 10 million, an error occurs and no records are extracted. References: Extract Methods


NEW QUESTION # 85
Northern Trail Outfitters (NTO) is getting ready to start ingesting its CRM data into Data Cloud.
While setting up the connector, which type of refresh should NTO expect when the data stream is deployed for the first time?

Answer: B

Explanation:
Data Stream Deployment: When setting up a data stream in Salesforce Data Cloud, the initial deployment requires a comprehensive data load.
Types of Refreshes:
Incremental Refresh: Only updates with new or changed data since the last refresh.
Manual Refresh: Requires a user to manually initiate the data load.
Partial Refresh: Only a subset of the data is refreshed.
Full Refresh: Loads the entire dataset into the system.
First-Time Deployment: For the initial deployment of a data stream, a full refresh is necessary to ensure all data from the source system is ingested into Salesforce Data Cloud.
References:
Salesforce Documentation: Data Stream Setup
Salesforce Data Cloud Guide


NEW QUESTION # 86
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 # 87
Which two applications automatically create activation targets at the time the application is connected to Data Cloud?

Answer: B,C

Explanation:
These two applications automatically create activation targets when they are connected to Data Cloud. You can use these targets to activate segments or calculated insights to these applications. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_activation.htm&type=5


NEW QUESTION # 88
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