In AI data management, which describes an application-level inventory containing information about each data element in the system?

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Multiple Choice

In AI data management, which describes an application-level inventory containing information about each data element in the system?

Explanation:
This describes a data catalog or data inventory at the application level. It means keeping metadata about every data element within a specific app—details like data name, type, source, owner, classification, retention, privacy attributes, and data lineage. Having this inventory enables effective data governance, discovery, impact analysis, and risk management because you can quickly answer what data exists, where it comes from, who is responsible, and how it’s used or protected. The other options don’t describe an inventory of data elements: a privacy policy outlines rules for handling data, a data visualization dashboard presents insights rather than cataloging data, and a random sample of data records does not provide a structured overview of all elements.

This describes a data catalog or data inventory at the application level. It means keeping metadata about every data element within a specific app—details like data name, type, source, owner, classification, retention, privacy attributes, and data lineage. Having this inventory enables effective data governance, discovery, impact analysis, and risk management because you can quickly answer what data exists, where it comes from, who is responsible, and how it’s used or protected. The other options don’t describe an inventory of data elements: a privacy policy outlines rules for handling data, a data visualization dashboard presents insights rather than cataloging data, and a random sample of data records does not provide a structured overview of all elements.

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