Every year, Ursa Major Solar has more than 1 million orders. Each order contains an average of 10 line items. The Chief Executive Officer (CEO) needs the Sales Reps to see how much money each customer generates year-over-year. However, data storage is running low in Salesforce.
Which approach for data archiving is appropriate for this scenario?
A manager at Cloud Kicks is importing Leads into Salesforce and needs to avoid creating duplicate records.
Which two approaches should the manager take to achieve this goal? (Choose two.)
UC has millions of Cases and are running out of storage. Some user groups need to have access to historical cases for up to 7 years.
Which 2 solutions should a data architect recommend in order to minimize performance and storage issues?
Choose 2 answers:
Get Cloudy Consulting uses an invoicing system that has specific requirements. One requirement is that attachments associated with the Invoice_c custom object be classified by Types (i.e., ""Purchase Order"", ""Receipt"", etc.) so that reporting can be performed on invoices showing the number of attachments grouped by Type.
What should an Architect do to categorize the attachments to fulfill these requirements?
An Architect needs information about who is creating, changing, or deleting certain fields within the past four months.
How can the Architect access this information?
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