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What is the purpose of "exposures" in dbt?
Questions in this quiz
What is the purpose of "exposures" in dbt?
What is the difference between a "view" and a "table" materialization in dbt?
What is a dbt "source"?
What is a reasonable way to think about how dbt fits into a broader "modern data stack" alongside a tool like Fivetran/Airbyte (extraction/loading) and a warehouse like Snowflake/BigQuery?
What is a common project structure convention in dbt for organizing models into "staging", "intermediate", and "marts" layers?
What is a dbt "macro"?
What is the purpose of the `{{ this }}` Jinja variable within a dbt model's SQL, particularly relevant for incremental models?
What is a dbt "model"?
What is a "snapshot" in dbt, and what problem does it solve?
What is the purpose of dbt "tests"?
What does `dbt run` do, as the core command for executing a dbt project?
What is the dbt "DAG" (Directed Acyclic Graph), and how is it constructed?