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?
A company is introducing a new data quality process and needs an Architect to recommend an appropriate approach. The new process will monitor the data that users are manually entering into the system through the Salesforce UI.
Which recommendation is correct?
Universal Containers (UC) is a business that works directly with individual consumers (B2C). They are moving from a current home-grown CRM system to Salesforce. UC has about one million consumer records.
What should the architect recommend for optimal use of Salesforce functionality and also to avoid data loading issues?
Universal Containers (UC) is launching an RFP to acquire a new accounting product available on AppExchange. UC is expecting to issue 5 million invoices per year, with each invoice containing an average of 10 line items. What should UC's Data Architect recommend to ensure scalability?
North Trail Outfitters (NTD) is in the process of evaluating big objects to store large amounts of asset data from an external system. NTO will need to report on this asset data weekly.
Which two native tools should a data architect recommend to achieve this reporting requirement?
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