What is Apache Airflow - Quick Revision & Key Takeaways

Recall & Review

beginner

What is Apache Airflow?

Apache Airflow is a tool to help you schedule and manage tasks automatically. It lets you create workflows as code, so you can control when and how tasks run.

beginner

What is a DAG in Apache Airflow?

A DAG (Directed Acyclic Graph) is a set of tasks with a clear order. It shows how tasks depend on each other and the sequence they run in Airflow.

intermediate

How does Apache Airflow schedule tasks?

Airflow uses a scheduler that checks when tasks should run based on time or events. It then triggers tasks in the right order automatically.

intermediate

Why use Apache Airflow instead of manual scripts?

Airflow helps organize complex workflows, retries failed tasks, and shows clear logs. This makes managing many tasks easier and less error-prone than manual scripts.

beginner

What language do you use to write Airflow workflows?

You write Airflow workflows in Python. This lets you use normal code to define tasks and their order.

What does Apache Airflow primarily help you do?

A Schedule and manage automated workflows

B Store large amounts of data

C Create user interfaces

D Monitor network traffic

Apache Airflow is designed to schedule and manage workflows automatically.

In Airflow, what is a DAG?

A A set of tasks with dependencies

B A type of database

C A user interface component

D A cloud service

A DAG is a Directed Acyclic Graph that defines task order and dependencies.

Which language is used to write Airflow workflows?

A Java

B JavaScript

C Ruby

D Python

Airflow workflows are written in Python.

What component in Airflow triggers tasks at the right time?

A Executor

B Database

C Scheduler

D Webserver

The scheduler checks when tasks should run and triggers them accordingly.

Why is Airflow better than running manual scripts for workflows?

A It requires no coding

B It organizes tasks, retries failures, and logs clearly

C It runs tasks faster

D It replaces all databases

Airflow helps manage complex workflows with retries and clear logs, making it more reliable than manual scripts.

Explain what Apache Airflow is and why it is useful.

Think about how Airflow helps manage tasks automatically and why that is better than doing it by hand.

Describe the role of a DAG and the scheduler in Apache Airflow.

Focus on how tasks are organized and run in Airflow.