A large telecommunication provider that provides internet services to both residence and business has the following attributes:
- A customer who purchases its services for their home will be created
as an Account in Salesforce.
- Individuals within the same house address will be created as Contact
in Salesforce.
- Businesses are created as Accounts in Salesforce.
- Some of the customers have both services at their home and business.
What should a data architect recommend for a single view of these customers without creating multiple customer records?

UC has to built a B2C ecommerce site on Heroku that shares customer and order data with a Heroku Postgres database. UC is currently utilizing Postgres as the single source of truth for both customers and orders. UC has asked a data architect to replicate the data into salesforce so that salesforce can now act as the system of record. What are the 3 considerations that data architect should weigh before implementing this requirement? Choose 3 answer

Universal Containers (UC) has implemented Salesforce, UC is running out of storage and needs to have an archiving solution, UC would like to maintain two years of data in Saleforce and archive older data out of Salesforce. Which solution should a data architect recommend as an archiving solution?

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, and item 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 Customer Community solution. What is a correct technique UC should use to solve the data inconsistency?

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?