Which artifacts are generated by dbt during a project run?

Prepare for the dbt Labs Analytics Engineer Certification Test. Study with engaging questions and detailed explanations. Get ready to earn your analytics engineer certification with confidence!

The correct answer is the collection of artifacts generated by dbt during a project run, which includes manifest.json, catalog.json, run_results.json, and sources.json. Each of these files serves a specific purpose:

  • manifest.json: This file contains a comprehensive definition of the project's structure. It includes details about the models, seeds, tests, macros, and analyses, as well as their dependencies. This is essential for dbt to understand the relationships and lineage between different components in the project.
  • catalog.json: This artifact provides metadata about the tables and columns that dbt has created. It includes information such as the names of the tables, the types of data they contain, and any documentation that is associated with them. This is particularly important for analysts and data engineers to understand the structure of the data.

  • run_results.json: This file captures the results of the most recent run of the project, including information about which models were run, whether they succeeded or failed, and any tests that were executed. It is useful for debugging and understanding the execution history of the dbt run.

  • sources.json: This artifact holds information about the source data and its configurations. It includes details about the source tables and columns

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