In Microsoft Purview Information Protection, pre-trained (Microsoft-provided) trainable classifiers are designed to automatically recognize specific categories of content by learning from examples rather than relying only on patterns or keywords. Microsoft’s guidance explains that trainable classifiers “look for data by learning from examples,” and that Microsoft supplies a catalog of “pre-trained classifiers that you can use immediately in your tenant.” The documentation explicitly lists content types these classifiers can recognize, including “Resumes,” along with other categories such as Source code, Threat and harassment, and more. Because they’re already trained by Microsoft, you can use them “to identify and classify items across SharePoint, OneDrive, and Exchange,” and then take actions such as auto-labeling or enforcing DLP policies based on the classifier match.

By contrast, Content explorer is a reporting tool that lets you view where sensitive info types/labels were found; it doesn’t identify resumes on its own. Activity explorer shows events like DLP policy matches over time. eDiscovery is used for legal hold, search, and review, not for semantic content identification. Therefore, to identify documents that are employee resumes, the correct Microsoft compliance feature is the pre-trained (Microsoft-provided) trainable classifier for Resumes.