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Question 41 of 358
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Trainable classifiers are meant to learn a category of content from positive and negative sample documents (unstructured/content-based classification). The requirement describes matching against existing data samples/known values and then blocking sharing/sending, which aligns to Exact Data Match (EDM)—implemented as a sensitive information type (SIT) built from your dataset.
https://learn.microsoft.com/en-us/purview/sit-get-started-exact-data-match-based-sits-overview
Answer: A and E Trainable classifiers are for identifying items (documents), not the elements in the items (sensitive info type). Data Loss Prevention policy will provide the means of preventing sharing. Purview.