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Which three statements accurately describe the different data stream types in Marketing Cloud Intelligence?

Which harmonization method can cause query performance issues if there are many data streams to process?

A client's data consists of three data streams as follows: Data Stream A:The data streams should be linked together through a parent-child relationship. Out of the three data streams, Data Stream C is considered the source of truth for both the dimensions and measurements. The client would like to have a "Site Revenue" measurement. This measurement should return the highest revenue value per Site, for example: For Site Key ‘SK_C_2’, the "Site Revenue" should be $7.00. When aggregated by date, the "Site Revenue" measurement should return the total sum of the results of all sites. For example: For the date 1 Apr 2020, "Site Revenue" should be $11.00 (sum of Site Revenue for Site Keys ‘SK_C_1' ($4.00) and ‘SK_C_2’ ($7.00))Which options will yield the desired result;

As can be seen from the table, there are in fact two fields that hold a certain connection: Exam ID and Exam Topic. The connection indicates that where an Exam ID is found a single Exam Topic value is associated with it.The client has a requirement to be able to view measurements from all data sources sliced by Exam Topic values, as seen in the following example:Which harmonization feature should an Implementation engineer use to meet the client's requirement?

Besides the campaign, site, and media buy entities, the search keyword data stream type also includes which entity?