You are designing a star schema in Power BI Desktop that contains a Sales fact table and a separate Date table. You must ensure that DAX time-intelligence functions such as TOTALYTD return correct results while keeping the model performant. Which configuration should you apply to the relationship between the two tables and to the Date table itself?
Leave both tables unmarked and create a Many-to-Many bidirectional relationship so that filters flow both ways.
Mark the Date column in the Date table as a date table, then create a One-to-Many single-direction relationship from Date to Sales.
Mark the Sales table as a date table and create a One-to-One bidirectional relationship between Sales and Date.
Enable the Auto Date/Time option and remove the explicit Date table to rely on hidden date hierarchies.
Time-intelligence functions require a dedicated calendar table that is explicitly marked as a date table. The Date column in that table must contain unique, contiguous dates. The relationship from the Date table (dimension) to the Sales table (fact) should use a One-to-Many (1:* ) cardinality with single-direction cross-filtering so that filter context flows from the Date dimension to the fact rows without introducing unnecessary bidirectional filters that can slow performance. Marking the Date table and setting the relationship accordingly satisfies both functional and performance requirements.
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Why does the Date table need to be marked as a date table?
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What does 'One-to-Many single-direction relationship' mean?
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Why is relying on the Auto Date/Time option not recommended for this scenario?
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