What type of information does dbt debug display?

The correct choice refers to the debug information about dbt settings. When using the dbt debug command, it primarily provides insights into the configuration of your dbt project. This includes confirming whether the connection to the data warehouse is successful, inspecting the current dbt version, and checking configurations like the profile and target settings.

This information is essential for diagnosing potential issues in your dbt project, as it directly highlights whether your settings are set up correctly for your environment and whether you're able to communicate with your data warehouse effectively.

While execution logs, documentation of models, and source freshness reports are useful features within dbt, they serve different purposes. Execution logs detail the output of dbt runs, documentation provides insights into your models and their schemas, and source freshness reports assess the timeliness of source data. However, none of these options provide the same level of direct insight into the settings and configuration as the debug command does.