Which method can help decrease record load time?

Adding a two-column index is an effective method to decrease record load time. This approach enhances database performance by allowing faster data retrieval when queries are executed against the indexed fields. When a database is indexed properly, particularly with multi-column indexes, it optimizes the way data is stored and accessed. This means that when a user requests to view a record, the system can quickly locate the necessary information without having to scan through every record in the database.

Optimizing indexing is particularly beneficial in large datasets where load times can be significantly influenced by how efficiently data can be queried. In contexts like Service Cloud, where quick access to customer records is vital for providing excellent service, implementing appropriate indexing strategies can lead to a noticeable improvement in performance and user experience.

In contrast, increasing the number of fields in related lists may actually lead to longer load times since more data needs to be fetched and displayed. Enabling separate loading of all records can also result in slower performance when compared to optimizing indexing, as it typically does not enhance data retrieval speed. Lastly, while removing all related lists would reduce the number of elements loaded at once, it may not be a practical or feasible solution depending on business needs.