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An implementation engineer is requested to extract the second position of the Campaign Name values. The Campaign values consist of multiple delimiter types, as can be seen in the following example: Campaign Name: Ad15X2w&Delux_wal90 Desired value: Delux Which three harmonization methods will achieve the desired outcome?
Correct Answer: A,B,E
To extract specific elements from a string in Marketing Cloud Intelligence, such as the second position of a Campaign Name with multiple delimiters, several harmonization methods can be employed: Calculated Dimensions: These allow for the creation of custom dimensions using expressions or formulas that manipulate existing data. A calculated dimension can be designed to parse and extract segments of a string based on delimiters. Patterns: This method involves defining a pattern or regex (regular expression) that matches and isolates the desired portion of the string. Patterns are highly effective for strings with complex structures and varying delimiter types. Mapping Formula: Similar to calculated dimensions, mapping formulas provide a way to apply a transformation or extraction rule to data fields directly within data streams, enabling targeted data extraction like the desired 'Delux' from the Campaign Name. These methods enable the implementation engineer to accurately segment and extract the needed data from complex string fields efficiently.
