Microsoft Fabric Data Engineer Associate DP-700 Practice Question

Your Microsoft Fabric warehouse has two large fact tables-FactSales (5 billion rows) and FactInventory (4 billion rows)-plus small dimensions such as DimDate (~50 000 rows). All tables use ROUND_ROBIN distribution. An equi-join between the fact tables on ProductKey shows heavy data movement. To minimize movement and keep dimension joins fast, what should you change?

  • Keep ROUND_ROBIN distribution for all tables but enable result-set caching on the warehouse.

  • Set FactSales and FactInventory to REPLICATE distribution and change DimDate to HASH on DateKey.

  • Redistribute FactSales by HASH on SalesOrderNumber and set FactInventory to REPLICATE; leave DimDate as ROUND_ROBIN.

  • Redistribute FactSales and FactInventory by HASH on ProductKey, and change DimDate to REPLICATE distribution.

Microsoft Fabric Data Engineer Associate DP-700
Monitor and optimize an analytics solution
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