A Direct Lake semantic model built on a Fabric lakehouse powers an executive dashboard. Users report that certain visuals load slowly on the first interaction of the day, and Performance Analyzer shows most of the time is spent scanning a very wide fact Delta table (150+ columns) even though visuals reference only a handful of columns. You want to reduce the initial cold-query latency without switching away from Direct Lake. Which action most directly improves this?