Astronomer · Foundations
Astronomer Apache Airflow 3 Fundamentals
Formerly Apache Airflow Fundamentals.
Demonstrate core Apache Airflow knowledge: architecture, DAG authoring, scheduling, and the UI/CLI.
Current exam version: Astronomer's certification exams are built on Airflow 3, including assets, DAG versioning and the new architecture.Source: astronomer.io/certification/, verified 2026-10-11
Apache Airflow 3 Fundamentals exam at a glance
| Exam code | — |
|---|---|
| Vendor | Astronomer |
| Level | Foundations |
| Domains | 4 |
| Published practice questions | 55 |
| Our mock exam | 75 questions in 60 minutes |
| Our practice pass target | 70% |
| Checked against the exam guide | July 7, 2026 |
| Official exam page | Astronomer — Apache Airflow 3 Fundamentals |
The mock exam length, time limit and pass target are our practice settings, not official exam scores or a guarantee of passing. Check the official Apache Airflow 3 Fundamentals exam page for the current format, price and scoring before you book.
Apache Airflow 3 Fundamentals exam domains
Weights show our practice allocation, built from the official exam guide; official blueprints may give ranges. Each domain links to its free sample questions (with explanations) and study guide preview once they are published.
Airflow Concepts and Architecture
30%Core Airflow concepts and architecture components: what Airflow is, DAGs, tasks, the scheduler, executor, webserver, metadata database, and use cases.
- What Apache Airflow is and appropriate use cases
- Core concepts: DAG, task, task instance, DAG run, operator
- Architecture components: Scheduler, Webserver, Metadata Database, Executor, Workers
- Executor types (Sequential, Local, Celery, Kubernetes) at a high level
- The task lifecycle and task states
- When Airflow is and isn't the right tool (orchestration vs data processing)
Free Airflow Concepts and Architecture practice questions →Airflow Concepts and Architecture study guide →
Authoring and Scheduling DAGs
35%Writing DAGs in Python, scheduling with schedule/cron, start_date, catchup, backfill, and setting task dependencies.
- Defining a DAG in Python (DAG object, dag_id, default_args)
- Scheduling: schedule/schedule_interval, cron expressions, presets (@daily, @hourly)
- start_date, execution/logical date, and how the first run is determined
- Catchup and backfilling missed DAG runs
- Setting dependencies with >>, <<, set_upstream/set_downstream
- Idempotency and why tasks should be deterministic/retry-safe
Free Authoring and Scheduling DAGs practice questions →Authoring and Scheduling DAGs study guide →
Operators, Tasks, and Dependencies
20%Using operators to define tasks, passing data with XComs, connections, variables, sensors, and trigger rules.
- Common operators (PythonOperator, BashOperator, and provider operators)
- Tasks vs operators vs task instances
- XComs for passing small amounts of data between tasks
- Connections and Variables for configuration and secrets
- Sensors and how they wait for conditions
- Trigger rules (all_success, all_done, one_failed, etc.)
Free Operators, Tasks, and Dependencies practice questions →Operators, Tasks, and Dependencies study guide →
Monitoring, the UI, and the CLI
15%Using the Airflow UI and CLI to monitor, trigger, debug, and retry DAGs and tasks.
- Airflow UI views: Grid, Graph, Calendar, and logs
- Reading task states and colors to diagnose runs
- Manually triggering DAGs and clearing/retrying tasks
- Common Airflow CLI commands (dags list, dags trigger, tasks test)
- Viewing task logs to debug failures
Free Monitoring, the UI, and the CLI practice questions →Monitoring, the UI, and the CLI study guide →
Apache Airflow 3 Fundamentals FAQ
How is the Apache Airflow 3 Fundamentals practice assessment configured?
Our practice format targets 75 questions in 60 minutes. Availability depends on the published question bank and is shown on this course page. Official exam question counts and formats may differ.
What does the 70% practice target mean?
Check the provider's current exam guide for official scoring. A practice percentage is not an official scaled score. DataCertPrep uses 70% as an internal practice target, not a prediction or guarantee of passing.
How should I assess my progress in Apache Airflow 3 Fundamentals?
Use practice accuracy to find weak topics. Repeating familiar questions can inflate your score. Check coverage of the current objectives, practise hands-on tasks, and assess yourself on unseen questions.
What is the best way to study Apache Airflow 3 Fundamentals?
Read the available guides, work through practice explanations, use flashcards and complete practical exercises. Take a timed assessment when available. Check the provider's current exam guide before booking your exam.
Should I use Apache Airflow 3 Fundamentals exam dumps?
No. "Dumps" are questions copied or recalled from the live exam. Certification exams are covered by a candidate agreement that prohibits sharing or using them, and breaking it can lead to a revoked certification or a ban from future exams. Dumps are also often wrong, and they go out of date when the exam blueprint changes. Memorising answers does not build the skills the exam tests. Study the official Astronomer exam guide and practise with original questions that explain each answer, such as the free sample questions linked on this page.