You are optimizing a Power BI data model that currently occupies 1.2 GB in memory and performs sluggishly when users interact with visuals. Profiling shows that the FactSales table contains 50 million rows and three columns (RowGuid, ETLLoadDate, Comments) that are never referenced in reports, calculated columns, or measures. Which action will most directly reduce memory usage and improve query performance without affecting existing reports?
Hide the three columns in Model view so that report authors cannot select them.
Disable the Auto Date/Time option for new files in the Power BI Desktop global settings.
Use Power Query to remove the RowGuid, ETLLoadDate, and Comments columns and then refresh the dataset.
Set the summarization option of the three columns to "Do not summarize" in the properties pane.
Removing unused columns before they are loaded into the model frees VertiPaq from storing their values, which lowers the in-memory footprint and speeds column scans. Hiding a column, changing its default summarization, or toggling the Auto Date/Time option does not eliminate the column's data from the model, so they have little or no impact on memory consumption or query speed.
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