UC has migrated its Back-office data into an on-premisedatabase with REST API access. UC recently implemented Sales cloud for its sales organization. But users are complaining about a lack of order data inside SF.UC is concerned about SF storage limits but would still like Sales cloud to have access to the data.Which design patterns should a data architect select to satisfy the requirement?
Answer(s): B
For a production cutover, a large number of Account records will be loaded intoSalesforce from a legacy system. The legacy system does not have enough information to determine the Ownership for these Accounts upon initial load. Which two recommended options assign Account ownership to mitigate potential performance problems?
Answer(s): A,B
Universal Containers (UC) has several custom Visualforce applications have been developed in which users are able to edit Opportunity records. UC struggles with data completeness on their Opportunity records and has decided tomake certain fields required that have not been in the past. The newly required fields are dependent on the Stage of the Opportunity, such that certain fields are only required once an Opportunity advances to later stages. There are two fields. What is the simplest approach to handle this new requirement?
Universal Containers (UC) is a major supplier of office supplies. Some products are produced by UC and some by other manufacturers. Recently, a number of customers have complained that product descriptions on the invoices do not match the descriptions in the online catalog and on some of the order confirmations (e.g., "ballpoint pen" in the catalog and "pen" on the invoice, anditem color labels are inconsistent: "what vs. "White" or "blk" vs. "Black"). All product data is consolidated in the company data warehouse and pushed to Salesforce to generate quotes and invoices. The online catalog and webshop is a Salesforce CustomerCommunity solution. What is a correct technique UC should use to solve the data inconsistency?
Answer(s): C
Universal Containers (UC) is going thought major reorganization of their sales team. This would require changes to a large a number of group members and sharing rules. UCs administrator is concerned about long processing time and failure during the process.What should a Data architect implement to make changes efficiently?
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