Which command runs tests defined on models, sources, snapshots, and seeds?

The choice of "dbt test" is the correct answer because this command is specifically designed to execute tests that have been defined within your dbt project. These tests can be custom or predefined and apply to models, sources, snapshots, and seeds.

When you run "dbt test," it will check the integrity of your data according to the defined test conditions. This includes not only assertions made in your dbt models (like uniqueness and not-null tests) but also any data quality tests you've set up on your sources or snapshots. The purpose of this command is to ensure that the data in your dbt warehouse adheres to the expected predefined rules, which is a crucial step for maintaining data reliability and quality.

Other commands do not encompass this functionality in the same way. For instance, "dbt run" is used to execute your models and load data into your data warehouse but does not evaluate data quality or tests. "dbt compile" generates the SQL files without executing them, which is useful for debugging but not for running tests. "dbt build" creates and runs models, snapshots, and analyses; however, it primarily focuses on materializing data objects rather than specifically running tests.

Thus, "dbt test" is the