When migrating donation data into NPSP, which two features should be considered to improve search performance?

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To improve search performance when migrating donation data into NPSP, utilizing skinny tables is a key consideration. Skinny tables are special database tables in Salesforce that contain a subset of fields from an existing object. By implementing skinny tables, you can enhance query performance, especially for objects that are frequently queried but contain many fields. The benefit arises because skinny tables allow for faster access to the data by reducing the number of fields and optimizing how data is retrieved.

Skinny tables can help address performance issues that often arise from complex queries, particularly when working with large data sets such as donation records. This optimization plays a critical role when your organization needs to quickly access and manipulate large volumes of donation data.

While the other options contain features related to performance, they don't specifically focus on the direct performance enhancements of search queries in the context of migrating donation data. For instance, SOSL is a powerful search option, but it does not optimize the underlying data structure. Custom indexes can improve performance, but they require deliberate configuration and may not address the immediate needs of the entire dataset as effectively as skinny tables. Lastly, Salesforce Optimizer is a tool that provides recommendations but is more focused on overall system health rather than directly improving search performance for specific migrations. Overall, skinny tables are

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