To improve the performance of queries that return a small subset of rows from a large table, search optimization service and automatic clustering are effective features. Search optimization service enhances the efficiency and speed of searches by optimizing how data is indexed and queried. Automatic clustering automatically organizes data into micro-partitions based on usage patterns, which can significantly speed up query performance. Row access policies, on the other hand, are related to security and do not directly affect the query performance. Multi-cluster virtual warehouses deal with scaling resources to handle concurrency, and secure views are related to data access control, neither of which directly improves query performance for small subsets of rows.