You are developing a SQL Server Integration Services (SSIS) package that imports data from a relational database to a data warehouse. You are importing data from a relational table named Projects…

Option A does not use the net changes CDC function and would either return all intermediate change rows or miss the filtering needed to exclude stale intermediate updates.

Option B likely uses cdc.fn_cdc_get_all_changes, which returns every individual change operation including intermediate updates, producing duplicate processing of the same row rather than only the most recent value.

Option C does not correctly filter for only inserted and updated rows within the appropriate LSN boundary range needed to capture changes since the previous package execution.

Option D uses the cdc.fn_cdc_get_net_changes function, which returns only the net result of all changes to each row within the LSN range since the last package execution - for rows that were updated multiple times, only the latest version is returned, which satisfies the requirement to process only the most recent values for inserts and updates.