MS-102 · Question #322
You have a Microsoft 365 E5 subscription. You plan to implement a data loss prevention (DLP) strategy by using Microsoft Purview. You need to recommend a classification method for a DLP condition…
The correct answer is C. trainable classifiers. Trainable classifiers use machine learning to automatically recognize content types by being trained on sample documents. You seed the classifier with examples of the document type you want to detect (e.g., contracts, financial reports, HR documents stored in SharePoint), and…
Question
You have a Microsoft 365 E5 subscription. You plan to implement a data loss prevention (DLP) strategy by using Microsoft Purview. You need to recommend a classification method for a DLP condition. The classification method must automatically recognize document types based on existing documents in Microsoft SharePoint Online. What should you recommend?
Options
- Asensitive information types (SITs)
- Bsensitivity labels
- Ctrainable classifiers
- Dexact data match (EDM) classifiers
How the community answered
(43 responses)- A2% (1)
- B12% (5)
- C79% (34)
- D7% (3)
Explanation
Trainable classifiers use machine learning to automatically recognize content types by being trained on sample documents. You seed the classifier with examples of the document type you want to detect (e.g., contracts, financial reports, HR documents stored in SharePoint), and the model learns to identify similar documents across your environment. Sensitive information types (SITs) rely on regex patterns, keywords, and checksums-not learned document structure. Sensitivity labels are applied to classify and protect documents but are not a detection/recognition mechanism for DLP conditions. Exact data match (EDM) classifiers match specific structured data values (e.g., exact SSNs from a database), not document types or layouts.
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