Universal Containers (CU) is in the process of implementing an enterprise data warehouse (EDW). UC needs to extract 100 million records from Salesforce for migration to the EDW.
What data extraction strategy should a data architect use for maximum performance?
A large multinational B2C Salesforce customer is looking to implement their distributor management application is Salesforce. the application has the following capabilities:
1.Distributor create sales order in salesforce
2.Sales order are based on product prices applicable to their region
3. Sales order are closed once they are fulfilled
4. It is decided to maintain the order in opportunity object
How should the data architect model this requirement?
Universal Containers (UC) is in the process of migrating lagacy inventory data from an enterprise resources planning (ERP) system into Sales Cloud with the following requirements:
Legacy inventory data will be stored in a custom child objects called Inventory_c.
Inventory data should be related to the standard Account object.
The Inventory_c object should Inhent the same sharing rules as the Account object.
Anytime an Account record is deleted in Salesforce, the related Inventory_c record(s) should be deleted as well.
What type of relationship field should a data architect recommend in this scenario?
A customer wants to maintain geographic location information including latitude and longitude in a custom object. What would a data architect recommend to satisfy this requirement?
Universal Containers (UC) is implementing Salesforce and will be using Salesforce to track customer complaints, provide white papers on products, and provide subscription based support.
Which license type will UC users need to fulfill UC's requirements?
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