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In the Advanced Data Modeling & DAX, we looked at different ways to create Dynamic Elements in report visuals by using DAX functions. One of the DAX functions we used was CROSSFILTER(). Which of the following are true about the DAX function CROSSFILTER()?

a) It can only be used in functions that take a filter as an argument, such as CALCULATE()
b) CROSSFILTER() specifies the cross-filtering direction to be used in a calculation for a relationship that exists between two columns
c) It has two arguments: a column name and the direction of the cross filter
d) When the CROSSFILTER() direction is set to Both, filters on either side of the relationship filters the other side.

1 Answer

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Final answer:

CROSSFILTER() is significant in DAX for modifying filter context between table relationships. It is used with CALCULATE(), and its function is to specify cross-filtering directions, such as 'None', 'OneWay', or 'Both', contrary to the claim that it has only two arguments and directions.

Step-by-step explanation:

When dealing with Advanced Data Modeling & DAX, the CROSSFILTER() function is an important tool for modifying filter context in Power BI. To clarify the points raised in the question:

  • b) CROSSFILTER() specifies the cross-filtering direction to be used in a calculation for a relationship that exists between two columns. This is essential for controlling how filters are applied across related tables.
  • a) It can only be used in functions that take a filter as an argument, such as CALCULATE() as CROSSFILTER() modifies how CALCULATE() manages the filter context across the relationships.
  • c) It actually has three arguments: the two columns defining the relationship and the direction of the cross filter, which can be 'None', 'OneWay', or 'Both'.
  • d) When the CROSSFILTER() direction is set to Both, indeed, filters on either side of the relationship have the ability to filter the other side, enabling bidirectional filter context propagation.

It's important to understand the syntax and use of CROSSFILTER() to build effective data models and create dynamic report visuals.