Certification Exam: DAG Authoring

Certification Exam: DAG Authoring

Challenge your DAG authoring skills and show to the world your expertise in creating amazing DAGs!

rate limit

Code not recognized.

About this course

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.

Description
To pass the Astronomer Certification Apache Airflow DAG Authoring , you have to show your capabilities of understanding the different features that Airflow brings to create DAGs. What are the pros and cons of each one as well as their limitations. You should be comfortable for recommending settings and design choices for data pipelines according to different use cases. You should know the most common operators as well as the specificities of others allowing  to define DAG dependencies, choose different branches, wait for events and so on.
 

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.

Exam details
Exam format: 75 Multiple choice questions
Time allotted: 60 Minutes
Passing score: 70% (53 corrects out of 75)
Exam Registration fee: $150
Prerequisites: We recommend taking the Apache Airflow DAG Authoring Prep Course to prepare for the exam.
Language: English
 

+ Resources

Resources to help you prepare for the exam: 

  • Apache Airflow DAG Authoring Prep Course.
  • Astronomer guides.
  • Airflow documentation.
 

Curriculum

  • Important notes!
  • Quick information for your Badge
  • Exam

About this course

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.

Description
To pass the Astronomer Certification Apache Airflow DAG Authoring , you have to show your capabilities of understanding the different features that Airflow brings to create DAGs. What are the pros and cons of each one as well as their limitations. You should be comfortable for recommending settings and design choices for data pipelines according to different use cases. You should know the most common operators as well as the specificities of others allowing  to define DAG dependencies, choose different branches, wait for events and so on.
 

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.

Exam details
Exam format: 75 Multiple choice questions
Time allotted: 60 Minutes
Passing score: 70% (53 corrects out of 75)
Exam Registration fee: $150
Prerequisites: We recommend taking the Apache Airflow DAG Authoring Prep Course to prepare for the exam.
Language: English
 

+ Resources

Resources to help you prepare for the exam: 

  • Apache Airflow DAG Authoring Prep Course.
  • Astronomer guides.
  • Airflow documentation.
 

Curriculum

  • Important notes!
  • Quick information for your Badge
  • Exam