Microsoft Power BI Data Analyst Practice Question

Your Power BI model contains a SalesTransactions fact table with roughly 500 million imported rows at order-line granularity. Users only analyze revenue and units by month and product category and never need line-level details. Report visuals that reference this table render slowly and dataset refresh consumes excessive memory. You must improve both refresh and query performance while keeping all required business metrics. Which approach should you choose?

  • Load a summarized version of SalesTransactions that groups by calendar month and product category and returns pre-aggregated revenue, margin, and quantity, removing the detailed rows from the model.

  • Change the storage mode of SalesTransactions to DirectQuery so queries run directly against the source system.

  • Turn on the Auto date/time option so Power BI creates cached date hierarchies for each date column.

  • Enable incremental refresh on SalesTransactions and keep only the last two years of partitions.

Microsoft Power BI Data Analyst
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