Universal Containers has millions of cases and are running out storage. Some user groups need to have access to historical cases for up to seven years.
Which two solutions should a data architect recommend in order to minimize performance and storage issues?
(Choose two.)

• A.Leverage big object to archive case data and Lightning components to show archived data
• B.Leverage on-premise data archival and build integration to view archived data
• C.Export data out of Salesforce and store in flat files on external system
• D.Create a custom object to store case history and run reports on it

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Universal Containers has a large volume of Contact data going into Salesforce.com. There are 100,000 existing contact records. 200,000 new contacts will be loaded. The Contact object has an external ID field that is unique and must be populated for all existing records.
What should the architect recommend to reduce data load processing time?

• A.Load all records via the Upsert operation to determine new records vs. existing records.
• B.Load new records via the Insert operation and existing records via the Update operation.
• C.Delete all existing records, and then load all records together via the Insert operation.
• D.Load Contact records together using the Streaming API via the Upsert operation.

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