ISC2 Certified Cloud Security Professional (CCSP) Practice Question
A cloud-hosted application writes customer support transcripts to an Amazon S3 bucket in JSON format. Management asks you to extend the existing data discovery process so that credit-card numbers embedded in those JSON files are reliably identified and sent to the DLP system for policy enforcement. Which capability is most important for the discovery tool to support when dealing with this semi-structured data source?
Inline deep-packet inspection on the cloud gateway to analyze traffic entering the S3 bucket.
Block-level hashing of S3 objects to detect previously identified files containing credit-card data.
Schema-on-read parsing that can traverse JSON objects with expressions such as JSONPath to expose individual field values.
JDBC-based metadata crawlers that enumerate fixed columns in relational database tables.
JSON is semi-structured: each object contains key/value pairs but the schema can vary between files. To locate sensitive fields such as credit-card numbers, the discovery engine must first parse the JSON structure at read time, then apply pattern matching to the resulting elements. Tools that expose schema-on-read parsing through JSONPath (or similar) let the engine understand where values reside regardless of differing layouts. Pure relational crawlers, network DPI, or block-level hashing do not interpret JSON objects, so they cannot accurately isolate card data inside the files.
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What is JSON and why is it considered semi-structured data?
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What is JSONPath, and why is it important for data discovery in data like JSON files?
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ISC2 Certified Cloud Security Professional (CCSP)
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