You need to recommended a solution to minimize the amount of disk resources used by Query1. What should you recommend?

Rebuilding an index with FILLFACTOR=100 minimizes the initial storage footprint of the index by filling pages completely, but it can lead to increased page splits and higher disk I/O during subsequent data modifications, potentially increasing disk resources over time for maintenance rather than optimizing specific query execution disk usage.

Adding a column as an included column to an index makes the index covering for certain queries, potentially reducing logical I/O, but it increases the overall physical size of the index on disk because more data is stored within the index, thereby increasing disk resources rather than minimizing them.

Refactoring a query into a partitioned view allows SQL Server to utilize partition elimination. This feature ensures that the query optimizer only accesses the specific partitions (member tables) that contain the data relevant to the query's WHERE clause, significantly reducing the total amount of data read from disk and thus minimizing disk resources used by the query.

A filtered index reduces the physical size of the index and can improve performance for queries that match the filter predicate, but it primarily minimizes disk resources for the index itself and for specific query subsets, not through a general mechanism like partition elimination to reduce the overall data scanned for a query across a large dataset.