What best describes the function of metadata for data assets?

• A. It identifies, describes, explains, and provides content, context, structure, and classifications.
• B. It stores raw data in a data lake.
• C. It enforces access control policies.
• D. It replaces data dictionaries.

Answer: (A)

Metadata for data assets serves to identify, describe, and provide the content, context, structure, and classifications of the data. It tells you what the data is, where it came from, who owns it, and how it should be interpreted. It also captures how the data is organized (schemas, formats, data types) and how it should be treated (sensitivity levels, retention, quality rules). This combination of content, context, and structure makes data discoverable and understandable across tools and teams, enabling effective governance, risk management, data quality assessment, and downstream analytics. For example, metadata might document that a customer table comes from the CRM system, has fields for name and email with specific data types, includes a business definition for each field, notes the data steward and last refresh date, and marks the data as sensitive with a defined retention period.

Storing raw data in a data lake is about where data is kept, not about describing it. Enforcing access control policies is about who can do what, which is governance and security enforcement rather than the descriptive purpose of metadata. Replacing data dictionaries implies metadata would substitute documentation that explains data elements; in reality, data dictionaries are a form of metadata, and metadata complements rather than replaces such documentation.