What member mapping types are available in Data Management?

The member mapping types available in Data Management include Explicit, Range, In, Multi Dimension, and Like. Each of these types serves a specific purpose in how data is mapped from source systems into the target data structure within Enterprise Planning and Budgeting Cloud.

Explicit mapping is used to define individual mappings between source and target members. This is useful when there is a direct one-to-one relationship between members. Range mapping allows for the mapping of a series of members, facilitating the handling of large data sets where individual mappings would be cumbersome. The In mapping type is employed for scenarios where a member can be mapped if it exists in a specified list of values. Multi Dimension mapping allows for the inclusion of several dimensions in the mapping process, accommodating complex data structures. Lastly, the Like mapping type is beneficial when you want to map members based on a naming convention or pattern, allowing for wildcard searches in member names.

The distinction of option D as the correct choice lies in its inclusion of these applicable mapping types without any mismatches or overly ambiguous terms. Other options mix terms that either do not align with the standard terminologies used in Data Management or include combinations like "Between" or "Ignore," which are not part of the recognized member mapping types, thus affirming D