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Data Engineering

APACHE AIRFLOW INTERVIEW QUESTIONS

APACHE AIRFLOW

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Curriculum

Topic

  • Apache Airflow – What It Is and the Problem It Solves2:05
  • Airflow vs Cron vs Jenkins – Why Choose Airflow?2:13
  • What Is a DAG in Airflow and Why Must It Be Acyclic?2:07
  • Airflow Core Components Explained – Webserver, Scheduler, Executor, and Metadata Database1:51
  • Task vs Operator vs Task Instance in Airflow – Key Differences1:59
  • Airflow – Data Processing Tool or Orchestration Tool1:55
  • Airflow DAG Files – Format and Where Airflow Finds Them1:54
  • Idempotent Tasks in Airflow – Meaning and Importance2:01
  • Airflow vs Prefect vs Dagster – When to Choose Each2:10
  • Common Real-World Use Cases of Apache Airflow2:08
  • Anatomy of a Simple Airflow DAG File – Section by Section1:56
  • Defining Task Dependencies in Airflow Using >>, <<, and set_upstream()1:58
  • start_date vs execution_date vs logical_date in Airflow1:47
  • Airflow Catchup Explained – When to Set catchup=False1:56
  • No Dependency Between Tasks in Airflow – What Happens?1:48
  • Organizing Large Airflow DAGs – Keeping 50+ Tasks Readable2:07
  • Dynamic Task Mapping in Airflow with .expand() – Real-World Use Case1:54
  • Creating Multiple Airflow DAGs Programmatically from a Config File2:09
  • Maximum Tasks in an Airflow DAG and Its Impact on Scheduler Performance2:05
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