What is a type of generic test that can be defined across multiple models and columns?

The correct answer is relationships, which refers to a type of generic test that validates the relationships between records in different tables or models. This can be applied to ensure that foreign key relationships are maintained across the data models you are working with. By defining relationship tests, you establish a mechanism for ensuring data integrity and consistency across multiple models, as it can check if, for example, a key in one table exists in another, thereby reinforcing the expected relational structure within your database.

Relationships as tests are particularly useful in a dbt (data build tool) environment because they allow project teams to enforce logical connections among dataset tables consistently. This supports the overall goal of maintaining high-quality and reliable data models by identifying potential discrepancies in foreign key relationships.

The other options, while useful in data modeling, do not have the same scope of generic application across multiple models:

• Accepted_values is a test that checks if a column contains only a predefined set of acceptable values, and is usually more focused on validation within a single column.

• Unique ensures that values in a particular column are distinct but is specific to a single model and its column.

• Not_null checks that values in a specified column are not null, similarly limited to individual columns in specific models.

Overall, relationships tests