Multi-environment deployment (dev, staging, prod) in Apache Airflow - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to set the Airflow environment variable for the deployment environment.

Apache Airflow

export AIRFLOW_ENV=[1]

Drag options to blanks, or click blank then click option'

Adevelopment

Btesting

Cdebug

Dproduction

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'production' instead of 'development' for dev environment.

Setting AIRFLOW_ENV to development configures Airflow for the dev environment.

2fill in blank

medium

Complete the code to select the correct Airflow configuration value for the staging environment.

Apache Airflow

airflow config get-value core [1]

Drag options to blanks, or click blank then click option'

Aairflow.cfg

Bdags_folder

Cexecutor

Dsql_alchemy_conn

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing the config file name with a config key.

The executor setting defines how tasks are run, which can differ in staging.

3fill in blank

hard

Fix the error in the command to deploy Airflow DAGs to the production environment.

Apache Airflow

scp dags/ [1]:/usr/local/airflow/dags/

Drag options to blanks, or click blank then click option'

Auser@prod-server

Bprod-server

Cuser@staging-server

Dlocalhost

Attempts:

3 left

💡 Hint

Common Mistakes

Omitting the user in the remote host address.

Using user@prod-server correctly specifies the remote user and host for production deployment.

4fill in blank

hard

Fill both blanks to set the Airflow home directory and the environment variable for staging.

Apache Airflow

export AIRFLOW_HOME=[1]
export AIRFLOW_ENV=[2]

Drag options to blanks, or click blank then click option'

A/opt/airflow/staging

Bstaging

C/usr/local/airflow

Dproduction

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing production paths or environment names in staging setup.

Setting AIRFLOW_HOME to the staging directory and AIRFLOW_ENV to 'staging' configures the environment correctly.

5fill in blank

hard

Fill all three blanks to create a dictionary mapping environments to their Airflow executor types.

Apache Airflow

executors = {
    '[1]': '[2]',
    '[3]': 'LocalExecutor'
}

Drag options to blanks, or click blank then click option'

Aproduction

BCeleryExecutor

Cdevelopment

DSequentialExecutor

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping executor types between environments.

This dictionary maps 'production' to 'CeleryExecutor' and 'development' to 'LocalExecutor', common Airflow setups.