Microsoft Security, Compliance, and Identity Fundamentals SC-900 Practice Question

Microsoft Purview includes more than 200 built-in sensitive information types that use pattern matching, checksums, keyword lists, and other evidence to recognize data such as credit card numbers, Social Security numbers, passport numbers, and many other identifiers. When a scan runs, these sensitive information types act as the detection logic that tags content for classification. Sensitivity label scopes merely define the locations where labels can be applied but do not perform the underlying detection. Trainable classifiers rely on machine-learning models to recognize concept-based content (for example, resumes or contracts) rather than specific patterns like credit card numbers. Data loss prevention endpoints indicate where DLP policies are enforced; they do not themselves identify sensitive data. Therefore, sensitive information types are the correct answer.