ISC2 Certified Cloud Security Professional (CCSP) Practice Question
While reviewing a cloud data-discovery proof-of-concept, you must ensure the tool can locate national ID numbers that users sometimes embed in screenshots and scanned PDF files stored in an S3-compatible bucket. Which specific capability should the tool provide to reliably identify this unstructured sensitive information?
Structured query language crawlers that profile relational schemas
Optical character recognition with pattern-based content inspection
JSON path querying across object metadata
A differential privacy engine that adds statistical noise to query outputs
Screenshots and scanned PDFs are image-based or binary files whose text is not natively searchable. A data-discovery service must first extract any embedded text and then evaluate it against sensitive data patterns. Optical character recognition (OCR) performs this extraction, and when combined with pattern matching (regular expressions or predefined classifiers), it enables accurate discovery of PII inside otherwise unstructured image content. The other options focus on metadata querying, relational profiling, or privacy-preserving analytics and do not allow the tool to read text hidden within images.
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ISC2 Certified Cloud Security Professional (CCSP)
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