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keyboard_arrow_down Step-by-Step - Writing Your First DAG
Data Engineering Path  ·  Airflow
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Theoretical Quiz — Module 5

📝 Test Your Knowledge

Q1. What is the purpose of catchup=False in a DAG definition?

Show Answer

When catchup=False, Airflow will NOT backfill DAG Runs for dates between the start_date and the current date. Only the latest scheduled run will be created. Without this, Airflow would create DAG Runs for every scheduled interval since start_date.

Q2. Explain what {{ ds }} and {{ ds_nodash }} resolve to and why they're important.

Show Answer
  • {{ ds }} resolves to the logical date in YYYY-MM-DD format (e.g., "2024-01-15")
  • {{ ds_nodash }} resolves to the same date without dashes (e.g., "20240115")

They're important because they make DAGs idempotent — the same DAG processes different dates by using the templated date, without any code changes.

Q3. Name three levels of DAG testing and what each level validates.

Show Answer
  1. DAG Validation: Tests that DAGs load without import errors (DagBag test)
  2. Unit Testing: Tests individual task logic with sample data (pytest)
  3. Integration Testing: Tests end-to-end pipeline with real connections (staging environment)
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