In the process of creating object types, each column from the backing dataset becomes what?

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Multiple Choice

In the process of creating object types, each column from the backing dataset becomes what?

Explanation:
When modeling object types, each column from the backing dataset becomes a property of the object type. A property defines an attribute of the object, with its own name, data type, and constraints. This mapping turns the dataset’s schema into the object type’s schema, while each row in the dataset becomes a distinct object instance whose properties hold the row’s values. A row is an instance, not a property, and an index isn’t the mapping here.

When modeling object types, each column from the backing dataset becomes a property of the object type. A property defines an attribute of the object, with its own name, data type, and constraints. This mapping turns the dataset’s schema into the object type’s schema, while each row in the dataset becomes a distinct object instance whose properties hold the row’s values. A row is an instance, not a property, and an index isn’t the mapping here.

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