Salesforce Data-Cloud-Consultant Exam Dumps
Salesforce Certified Data Cloud Consultant (SP24)
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Salesforce Data-Cloud-Consultant Sample Questions
Question # 1If a data source does not have a field that can be designated as a primary key, what shouldthe consultant do?
A. Use the default primary key recommended by Data Cloud.
B. Create a composite key by combining two or more source fields through a formula field.
C. Select a field as a primary key and then add a key qualifier.
D. Remove duplicates from the data source and then select a primary key.
Question # 2
A customer has two Data Cloud orgs. A new configuration has been completed and testedfor an Amazon S3 data stream and its mappings in one of the Data Cloud orgs. What is recommended to package and promote this configuration to the customer's secondorg?
A. Use the Metadata API.
B. Use the Salesforce CRM connector.
C. Create a data kit.
D. Package as an AppExchange application.
Question # 3
A consultant at Northern Trail Outfitters is attempting to ingest a field from the Contactobject in Salesforce CRM that contains both yyyy-mm-dd and yyyy-mm-dd hh:mm:ssvalues. The target field is set to Date datatype.Which statement is true in this situation?
A. The target field will throw an error and store null values.
B. The target field will be able to hold both types of values.
C. The target field will only hold the time part and ignore the date part.
D. The target field will only hold the date part and ignore the time part.
Question # 4
A segment fails to refresh with the error "Segment references too many data lake objects(DLOS)".Which two troubleshooting tips should help remedy this issue?Choose 2 answers
A. Split the segment into smaller segments.
B. Use calculated insights in order to reduce the complexity of the segmentation query.
C. Refine segmentation criteria to limit up to five custom data model objects (DMOs).
D. Space out the segment schedules to reduce DLO load.
Question # 5
What is the primary purpose of Data Cloud?
A. Providing a golden record of a customer
B. Managing sales cycles and opportunities
C. Analyzing marketing data results
D. Integrating and unifying customer data
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