Why cloud operators simplify infrastructure tasks in Apache Airflow - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the Airflow DAG class.

Apache Airflow

from airflow.[1] import DAG

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Amodels

Boperators

Chooks

Dexecutors

Attempts:

3 left

💡 Hint

Common Mistakes

Importing DAG from airflow.operators instead of airflow.models.

The DAG class is imported from airflow.models to define workflows.

2fill in blank

medium

Complete the code to set the default arguments for the DAG.

Apache Airflow

default_args = {'owner': 'airflow', 'start_date': [1](2024, 1, 1)}

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Adateutil

Btimedelta

Cdatetime

Dtime

Attempts:

3 left

💡 Hint

Common Mistakes

Using timedelta instead of datetime for start_date.

The start_date requires a datetime object from the datetime module.

3fill in blank

hard

Fix the error in the DAG definition by completing the missing argument.

Apache Airflow

dag = DAG('example_dag', default_args=default_args, schedule_interval=[1])

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A'@daily'

Bstart_date

Ctimedelta(days=1)

DNone

Attempts:

3 left

💡 Hint

Common Mistakes

Using timedelta object instead of a cron string for schedule_interval.

The schedule_interval expects a cron string or preset like '@daily' to run daily.

4fill in blank

hard

Fill both blanks to create a simple task using BashOperator.

Apache Airflow

from airflow.operators.bash import [1]
task1 = [2](task_id='print_date', bash_command='date', dag=dag)

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ABashOperator

BPythonOperator

CEmailOperator

DDummyOperator

Attempts:

3 left

💡 Hint

Common Mistakes

Using PythonOperator or EmailOperator instead of BashOperator for bash commands.

BashOperator is used to run bash commands as tasks in Airflow.

5fill in blank

hard

Fill all three blanks to set task dependencies so task1 runs before task2 and task3.

Apache Airflow

task1 [1] task2
 task1 [2] task3
 task2 [3] task3

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A>>

B<<

C==

D!=

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<<' or '==' which do not set dependencies correctly.

The '>>' operator sets the order of tasks in Airflow DAGs, meaning the left task runs before the right.