The core principle governing this domain is the hierarchical evaluation sequence within DAX context transition functions when both current row filtering and override filters are simultaneously supplied: a calculated field's value for each aggregated group in a parent iterator (such as those derived by `SUMX`, `AVERAGEX`, or similar) depends on the composite filter context formed by applying **current row values** first, followed by any explicitly passed **override arguments**. Specifically, when multiple filters are provided to such functions—typically via `CALCULATE` within an iterator—the filtering mechanism executes a two-stage revision of the filter context where current row filters (often resulting from implicit context transition) and override filters are combined before evaluation; furthermore, all non-first arguments in this specific invocation constitute independent overrides rather than sequential layers. This theoretical construct belongs to computational logic and statistical computing domains, defining how complex data aggregation behaviors resolve when multiple intersecting criteria exist within a single analytical cell.
The core principle governing this domain is the hierarchical evaluation sequence within DAX context transition functions when both current row filtering and override filters are simultaneously suppli…