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Important notes!
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Quick information for your Badge
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Exam
Certification Exam: DAG Authoring
Challenge your DAG authoring skills and show to the world your expertise in creating amazing DAGs!
Overview
Big part of your crucial work is to author reliable and efficient DAGs.
Apache Airflow is the leading orchestrator for authoring, scheduling, and monitoring data pipelines. It has quickly become an invaluable asset in any data professional's toolbox.
If you have a solid experience with creating DAGs, then you may be ready to apply your skills directly to the certification exam. If not, have no fear- you will be able to take our prep course to learn everything you need to know to pass the exam.
Receiving an Astronomer Certification Apache Airflow DAG Authoring demonstrates your knowledge of designing and creating reliable data pipelines following best practices.
Once you pass the exam, you will receive an official certificate that you can show off to your organization and peers alike.
We recommend at least 6 months of experience with Airflow.
The exam is designed to assess the following topics:
- Variables
- Pools
- Trigger Rules
- DAG Dependencies
- Idempotency
- Dynamic DAGs
- Versioning
- DAG Scheduling
- Templating
- TaskFlow API
- XCOMs
- SubDAGs
- Branching
- SLAs
and more.
We recommend you take the Apache Airflow DAG Authoring Prep Course. This course will help you gain the skills needed to pass the exam.
⚠️ IMPORTANT: Once enrolled in the exam, you have 30 days to take it. After 30 days, it expires and you will have to pay again.
+ Resources
Resources to help you prepare for the exam: ⠀
- Apache Airflow DAG Authoring Prep Course.⠀
- Astronomer guides.⠀
- Airflow documentation.⠀