Question 1

What issues does this Terraform + Airflow lab present?

Accepted Answer

The lab provides a hastily provisioned Airflow platform with known defects: incomplete directory provisioning, wrong script paths in Terraform, incorrect executor configuration, missing file permissions, and non-idempotent provisioning steps.

Question 2

How long does the Terraform & Airflow lab take?

Accepted Answer

The lab is designed for 60 minutes. This includes reviewing main.tf, fixing provisioning defects, updating DAG templates, running terraform plan/apply, and validating idempotency.

Question 3

What level of experience is required?

Accepted Answer

This lab targets expert-level engineers (L4). You should have strong experience with Terraform, Airflow, Python, and Linux system administration.

Question 4

How is idempotency validated?

Accepted Answer

After applying Terraform, running terraform plan again must report 'No changes.' This confirms the infrastructure provisioning is fully repeatable without side effects.

Question 5

What executor should Airflow use in this lab?

Accepted Answer

Airflow must be configured to use the LocalExecutor, which supports parallel task execution without requiring an external message queue like Celery.

Question 6

Is this lab suitable for hiring decisions?

Accepted Answer

Yes, this lab is built for qualifying senior DevOps, Platform, and Data Engineers. It tests real-world debugging, IaC best practices, and production readiness assessment.

Build Workflows with Terraform & Airflow

Production-Grade Environment

Terraform

How this lab maps to your role

DevOps Engineer

Platform Engineer

Data Engineer

Site Reliability Engineer

Cloud Engineer

Technical Assessment (Build Workflows with Terraform & Airflow)

When to use this lab

Skills Evaluated

Built for Both Sides

For Recruiters & Hiring Managers

For Professionals & Learners

Frequently Asked Questions

Ready to test real skills?