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:
A.
Export data out of salesforce and store in Flat files on external system.
B.
Create a custom object to store case history and run reports on it.
C.
Leverage on premise data archival and build integration to view archived data.
D.
Leverage big object to archive case data and lightning components to show archived data.
C.
Leverage on premise data archival and build integration to view archived data.
D.
Leverage big object to archive case data and lightning components to show archived data.
Explanation:
C (On-premise data archival with integrations): Effective archiving outside Salesforce reduces storage usage and boosts performance, while integrations allow selective visibility of historical cases.
D (Big Objects with Lightning components): Salesforce Big Objects efficiently store massive historical data volumes, and Lightning components seamlessly display this archived data.
Flat file storage (A) lacks direct reporting capabilities, and custom objects (B) still consume Salesforce storage and can face performance limits at scale. Big Objects and external archival both mitigate performance and storage limitations efficiently.