Astronomer Certification: DAG Authoring for Apache Airflow 3 Preparation Details
The Astronomer Certification: DAG Authoring for Apache Airflow 3 exam has 75 multiple-choice questions in 60 minutes, and you need 70% to pass. This guide maps every topic to official Apache Airflow documentation. You can also explore more Astronomer certification study guides on the Astronomer Category to keep building your skills.
Astronomer Certification: DAG Authoring for Apache Airflow 3 Materials
1. Dag basics and dependencies (Dags)
Declare a Dag with @dag or with DAG, and call the decorated function.
Pythonic Dags with the TaskFlow API
Set dependencies with >>, <<, cross_downstream and chain.
Explain Dag file discovery, safe mode and .airflowignore.
2. Assets and asset-aware scheduling (Asset scheduling, Assets)
Define producers with outlets and consumers with schedule=[…].
State when an asset counts as updated: only when the producer task succeeds.
Combine assets with AND/OR logic (&, |).
Use @asset, AssetAlias, Metadata, inlet_events and triggering_asset_events.
Apply the asset URI rules.
Schedule on events through the RESTAPI and AssetWatcher, and use AssetOrTimeSchedule.
Airflow public REST API reference
3. Dynamic task mapping (Dynamic task mapping)
Use expand, partial and expand_kwargs correctly.
Pythonic Dags with the TaskFlow API
Predict the cross-product behavior of multiple expand arguments.
Map classic operators with .partial().expand() and .output.
Handle reduce steps, .map(), .zip() and .concat().
Name mapped instances with map_index_template.
Know the limits: max_map_length, max_active_tis_per_dag, and zero-length input.
Map a TaskGroup.
4. Dynamic Dags † (Dynamic Dag generation)
Generate Dags in a parse-time loop.
Choose between dynamic Dags and task mapping.
5. Dag versioning and bundles (Dag bundles)
Identify which bundle types support versioning.
Configure bundles in dag_bundle_config_list, including GitDagBundle and tracking_ref.
Explain rerun_with_latest_version precedence.
Describe a custom BaseDagBundle.
Public Interface for Airflow 3.0+
6. Dag scheduling (Dags; † Timetables)
Choose among cron, presets, @once, @continuous, timedelta, assets, timetables and None.
Customizing Dag Scheduling with Timetables
Explain data interval, logical date and catchup.
7. TaskFlowAPI (TaskFlow tutorial)
Pass data between @task functions.
Pythonic Dags with the TaskFlow API
Use multiple_outputs and .override().
Pythonic Dags with the TaskFlow API
Choose a task variant: @task.virtualenv, @task.docker, @task.sensor, @task.branch, @task.run_if or @task.skip_if.
Pythonic Dags with the TaskFlow API
8. TaskGroups † (Dags: TaskGroups)
Create groups with @task_group.
Predict group-id prefixes and default_args precedence.
Chain groups and label edges.
9. Templating (Operators; † Templates reference)
Name the rendered fields (template_fields) and load files with template_ext and template_searchpath.
Disable rendering with literal(), or replace a template with a callable.
Pythonic Dags with the TaskFlow API
Get native types with render_template_as_native_obj.
Escape braces in f-strings.
10. XComs (XComs)
Push and pull XComs, including the return_value default.
Know the Airflow 3 xcom_pull behavior and the clear-on-retry rule.
Explain how XComs differ from Variables.
Write a custom XCom backend.
Public Interface for Airflow 3.0+
11. Branching and trigger rules † (Dags: Branching)
Use @task.branch, and BaseBranchOperator.choose_branch for the class form.
Pythonic Dags with the TaskFlow API
Fix a skipped join with none_failed_min_one_success.
Match each trigger rule to its behavior.
Know LatestOnlyOperator and depends_on_past.
Wrapping Up Astronomer Certification: DAG Authoring for Apache Airflow 3
This Astronomer Certification: DAG Authoring for Apache Airflow 3 study guide covered all 11 topic areas with official Apache Airflow documentation. Read each page, run the code locally, and you will be ready for exam day. You can also explore more Astronomer certification study guides on the Astronomer Category to keep building your skills. Have a question or tip? Leave a comment below.
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