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| Section | Objectives |
|---|---|
| Segmentation and Activation | - Segmentation logic and audience building - Activation to Salesforce and external systems |
| Identity Resolution and Unification | - Identity resolution rules - Unified customer profile concepts |
| Salesforce Data Cloud Fundamentals | - Data Cloud value and use cases - Core concepts and architecture |
| Data Ingestion and Data Modeling | - Data sources and ingestion methods - Data model objects and harmonization |
| Data Governance and Privacy | - Security and data access controls - Data privacy and compliance concepts |
>> Vce Salesforce-Data-Cloud Files <<
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NEW QUESTION # 58
Which match criteria is only available as custom in order to perform an exact match in Identity Resolution?
Answer: A
Explanation:
Party Identification Id is the only match criteria that is only available as custom in order to perform an exact match in Identity Resolution. Party Identification Id is a unique identifier for each Party Identification record in the data model. It is not one of the standard match criteria that Data Cloud provides out of the box, so it has to be created as a custom match criteria. Custom match criteria allow you to use any field from the data model as a match rule. Reference: Create Custom Match Criteria
NEW QUESTION # 59
Northern Trail Outfitters uses B2C Commerce and is exploring implementing Data Cloud to get a unified view of its customers and all their order transactions.
What should the consultant keep in mind with regard to historical data ingesting order data using the B2C Commerce Order Bundle?
Answer: A
Explanation:
The B2C Commerce Order Bundle is a data bundle that creates a data stream to flow order data from a B2C Commerce instance to Data Cloud. However, this data bundle does not ingest any historical data and only ingests new orders from the time the data stream is created. Therefore, if a consultant wants to ingest historical order data, they need to use a different method, such as exporting the data from B2C Commerce and importing it to Data Cloud using a CSV file12. References:
Create a B2C Commerce Data Bundle
Data Access and Export for B2C Commerce and Commerce Marketplace
NEW QUESTION # 60
A consultant is ingesting a list of employees from their human resources database that they want to segment on.
Which data stream category should the consultant choose when ingesting this data?
Answer: C
Explanation:
Categories of Data Streams:
Profile Data: Customer profiles and demographic information.
Contact Data: Contact points like email and phone numbers.
Other Data: Miscellaneous data that doesn't fit into the other categories.
Engagement Data: Interactions and behavioral data.
Reference: Salesforce Data Stream Categories
Ingesting Employee Data:
Employee data typically doesn't fit into profile, contact, or engagement categories meant for customer data.
"Other Data" is appropriate for non-customer-specific data like employee information.
Reference: Salesforce Data Ingestion Guide
Steps to Ingest Employee Data:
Navigate to the data ingestion settings in Salesforce Data Cloud.
Select "Create New Data Stream" and choose the "Other Data" category.
Map the fields from the HR database to the corresponding fields in Data Cloud.
Reference: Salesforce Data Ingestion Tutorial
Practical Application:
Example: A company ingests employee data to segment internal communications or analyze workforce metrics.
Choosing the "Other Data" category ensures that this non-customer data is correctly managed and utilized.
Reference: Salesforce Data Management Case Studies
NEW QUESTION # 61
A consultant is troubleshooting a segment error.
Which error message is solved by using calculated insights Instead of nested segments?
Answer: A
Explanation:
Segment Errors in Data Cloud: Segments in Salesforce Data Cloud can encounter errors due to various reasons, including complexity and nested segments.
Calculated Insights vs. Nested Segments:
Complex Segments: If a segment is too complex due to extensive nesting or numerous conditions, it can lead to errors.
Simplification with Calculated Insights: Using calculated insights can simplify segment creation by pre- computing and storing complex logic or aggregations, which can then be referenced directly in the segment.
Solution:
Step 1: Identify the segment causing the "Segment is too complex" error.
Step 2: Break down complex logic into calculated insights.
Step 3: Use these calculated insights in segment definitions to reduce complexity.
References:
Salesforce Data Cloud Calculated Insights
Salesforce Data Cloud Segment Creation
NEW QUESTION # 62
Which three actions can be applied to a previously created segment?
Answer: A,B,C
Explanation:
These three actions can be applied to apreviously created segment. You can export a segment to a CSV file, delete a segment from Data Cloud, or copy a segment to create a duplicate segment with the same criteria.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_actions.htm&type=5
NEW QUESTION # 63
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