What are the three types of models we can create when generating a schema?

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Multiple Choice

What are the three types of models we can create when generating a schema?

When generating a schema, you model data from three perspectives: physical, logical, and metadata. The physical model translates the design into concrete database structures—tables, columns with data types, indexes, constraints, and storage specifics. The logical model defines what data is stored and how it relates—entities (tables), attributes, keys, and relationships—without tying them to any particular storage details. The metadata model captures information about the data itself—definitions, descriptions, data lineage, ownership, and governance rules that help manage and understand the schema. These three together cover how data is stored, how it’s organized, and how it’s described and governed, which is why that option is the best fit. The other choices introduce terms like rational, which aren’t standard modeling categories for schema generation.

When generating a schema, you model data from three perspectives: physical, logical, and metadata. The physical model translates the design into concrete database structures—tables, columns with data types, indexes, constraints, and storage specifics. The logical model defines what data is stored and how it relates—entities (tables), attributes, keys, and relationships—without tying them to any particular storage details. The metadata model captures information about the data itself—definitions, descriptions, data lineage, ownership, and governance rules that help manage and understand the schema. These three together cover how data is stored, how it’s organized, and how it’s described and governed, which is why that option is the best fit. The other choices introduce terms like rational, which aren’t standard modeling categories for schema generation.

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