An organisation wants Microsoft Purview to recognise a category of business content that simple keyword or pattern rules cannot reliably identify, by showing it examples to learn from. Which classification capability fits this need?
- AA sensitive information type, which matches predefined patterns such as bank account numbers.
- BA trainable classifier, which you train to recognise content by giving it samples. Correct
- CDocument fingerprinting, which recognises an item because it is a variation on a template.
- DExact data match, which detects the presence of specific exact strings.
Why A is wrong: A sensitive information type matches known patterns of data and is an automated pattern-matching method; it is not trained from samples the way a trainable classifier is.
Why B is correct: Correct. The grounding defines a Microsoft Purview trainable classifier as a tool you can train to recognise various types of content by giving it samples to evaluate, after which it can identify items for use in solutions such as Office sensitivity labels and retention label policies.
Why C is wrong: Document fingerprinting is an automated pattern-matching technique tied to a template; it does not learn a content category from sample documents.
Why D is wrong: Exact data match looks for specific exact strings and is a pattern-matching method, not a classifier you train by evaluating samples.