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You are designing an inventory updates table in an Azure Synapse Analytics dedicated SQL pool. The table will have a clustered columnstore index and will include the following columns: * EventDate: 1 million per day * EventTypelD: 10 million per event type * WarehouselD: 100 million per warehouse * ProductCategoryTypeiD: 25 million per product category type You identify the following usage patterns: Analyst will most commonly analyze transactions for a warehouse. Queries will summarize by product category type, date, and/or inventory event type. You need to recommend a partition strategy for the table to minimize query times. On which column should you recommend partitioning the table?