A financial services firm uses Azure Synapse Analytics to process daily trade data. The data is stored in a dedicated SQL pool as partitioned tables by date. Recently, queries that filter on a specific date range have become slow. You suspect that partition pruning is not working effectively. What should you do to improve query performance?