What type of file contains information from your data warehouse about tables and views?

The correct choice is a Catalog Artifact because this type of file holds metadata about the tables and views in your data warehouse. Catalog Artifacts typically include essential details such as schema definitions, column names, data types, and descriptions of the tables and views, allowing users to understand the structure and contents of the data warehouse efficiently.

This is particularly important for analytics engineers and data teams as it supports documentation and facilitates the process of understanding data lineage, helping in tasks such as data validation, data quality assessment, and ensuring compliance with data governance practices. By having a well-defined Catalog Artifact, teams can better manage their data assets and improve collaboration across different functions within the organization.

The other options refer to different concepts: Data Source Artifacts pertain to the origins of the data and how it is ingested, Generic Tests involve reusable test cases for validating data, and Job Configuration Files are concerned with how dbt runs jobs or models rather than storing metadata about tables and views.