Which three statements are true for targets in data management?

The statement that is true regarding targets in data management is that the "local" setting is used for the same pod. This is significant as it indicates that when working within a cloud architecture, the local setting pertains to configurations or specifications that apply to a single pod, which is essentially a collection of resources within a cloud environment that holds data and applications. This facilitates efficient data management practices as it allows users to work with consistent data settings within the confines of a designated pod.

In addition to this, the other statements contain relevant information about target applications and data management but do not present accurate or complete definitions. For instance, valid dimension classes for target applications typically go beyond just the mentioned classes, and data table columns in target definitions generally encompass various dimensions depending on the requirements. The Refresh Metadata option is indeed related to metadata synchronization, but the scope and context may extend beyond just targets. Thus, while those statements may have elements of truth related to data management, they do not capture the specific characteristics of target management as effectively as the statement regarding the "local" setting.