What does a standard job in dbt typically do?

In a standard job within dbt, the primary responsibility is to rebuild the entire Directed Acyclic Graph (DAG). This means that when a dbt job is executed, it processes all the models defined in the dbt project, ensuring that dependencies are respected and that each model is built in the correct order based on its relationships with other models. This allows dbt to build a comprehensive set of transformations and aggregations into analytics-ready tables efficiently and maintain data integrity throughout the pipeline.

Rebuilding the entire DAG ensures that all changes, whether they are model updates, new sources, or alterations in relationships, are captured and reflected in the downstream tables. It provides a holistic update to the analytics ecosystem established by the dbt project, which is essential for accurate and reliable analytics outputs.

In contrast, the other potential tasks mentioned in the choices represent specific functions that are not encapsulated in the standard job's operation, which focuses on holistic reconstruction rather than isolated tasks.