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Salesforce-Data-Cloud Practice Questions

Question # 1
Which two statements about Data Cloud's Web and Mobile App connector are true?
A. Any Data Streams associated with Web or Mobile connector app will be automatically deleted upon deleting the app from Data Cloud Setup.
B. Data Cloud administrators can see the status of a Web or Mobile connector app on the app details page.
C. Tenant Specific Endpoint is auto-generated in Data Cloud when setting up a Mobile or Web app connection.
D. Mobile and Web SDK schema can be updated to delete an existing field.


B. Data Cloud administrators can see the status of a Web or Mobile connector app on the app details page.
C. Tenant Specific Endpoint is auto-generated in Data Cloud when setting up a Mobile or Web app connection.



Question # 2
How can a consultant modify attribute names to match a naming convention in Cloud File Storage targets?
A. Use a formula field to update the field name in an activation.
B. Update attribute names in the data stream configuration.
C. Set preferred attribute names when configuring activation.
D. Update field names in the data model object.


C. Set preferred attribute names when configuring activation.




Explanation:

A Cloud File Storage target is a type of data action target in Data Cloud that allows sending data to a cloud storage service such as Amazon S3 or Google Cloud Storage.

When configuring an activation to a Cloud File Storage target, a consultant can modify the attribute names to match a naming convention by setting preferred attribute names in Data Cloud. Preferred attribute names are aliases that can be used to control the field names in the target file. They can be set for each attribute in the activation configuration, and they will override the default field names from the data model object.

The other options are incorrect because they do not affect the field names in the target file. Using a formula field to update the field name in an activation will not change the field name, but only the field value. Updating attribute names in the data stream configuration will not affect the existing data lake objects or data model objects. Updating field names in the data model object will change the field names for all data sources and activations that use the object, which may not be desirable or consistent.


Question # 3
Which two applications automatically create activation targets at the time the application is connected to Data Cloud?
A. Personalization powered by Interaction Studio
B. Amazon S3
C. B2C Commerce
D. Marketing Cloud Engagement


A. Personalization powered by Interaction Studio
C. B2C Commerce




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.


Question # 4
Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?
A.
Transaction

B.
Individual

C.
Sales Order

D. Engagement


D. Engagement

The appropriate data stream category to be assigned for time-based operations in segmentation and calculated insights would be Engagement.

  • Engagement data typically involves time-based interactions, such as customer behavior, activity, or interaction data, which are critical for segmentation and insights based on time.

  • Transaction and Sales Order data categories are more focused on financial or order-related data, while Individual refers to static, personal customer data.

Therefore, Engagement is the most suitable for time-based operations.



Question # 5
What does the Source Sequence reconciliation rule do in Identity Resolution?
A. Sets the priority of specific data sources when building attributes in a unified profile such as a first or last name
B. Identifies which data sources should be used in the process of reconciliation by prioritizing the most recently updated data source
C. Includes data from sources where the data is alphanumerically sequenced
D. Identifies which individual records should be merged into a unified profile by setting a priority for specific data sources


A. Sets the priority of specific data sources when building attributes in a unified profile such as a first or last name



Question # 6
A customer wants to create segments of users based on their Customer Lifetime Value. The source data that will be brought into the Data Cloud does not include that KPI. What process should be followed to achieve this outcome?
A. Map Data to Data Model > Create Calculated Insight > Use in Segmentation
B. Ingest Data > Map Data to Data Model > Create Calculated
C. Insight > Use in Segmentation
D. Ingest Data > Create Calculated Insight > Use in Segmentation
E. Create Calculated Insight > Map Data to Data Model > Use in Segmentation


B. Ingest Data > Map Data to Data Model > Create Calculated




Explanation:

To create segments of users based on their Customer Lifetime Value, the customer needs to first ingest the source data into Data Cloud, then map the data to the Customer 360 data model, then create a calculated insight using the formula editor, and finally use the calculated insight in segmentation.


Question # 7
What is the correct formula to display the value of the raw data column of "RetailPrice' plus an additional 5 percent?
A. sourceField['RetailPrice1*l .05
B. SELECT(['RetailPrice']*1.05)
C. sourceField['retailprice']*1.05
D. SELECT(['retailprice']*1.05)


C. sourceField['retailprice']*1.05

Explanation:

This is the correct formula to display the value of the raw data column of “RetailPrice” plus an additional 5 percent. The formula uses the sourceField function to access the raw data column, and then multiplies it by 1.05 to add 5 percent. The formula is case-sensitive, so the column name must match exactly with the raw data column name. References: [Formula Editor], [sourceField Function]


Question # 8
What is allowed when editing a Calculated Insight?
A. Removing existing measures
B. Adding new measures
C. Adding new dimensions
D. Removing existing dimensions


B. Adding new measures



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