Show you can work with data on Google Cloud, from ingesting and analyzing it with BigQuery and Looker to managing access, and track your readiness for the Associate Data Practitioner exam.

Fundamental

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Fundamental

Prepare and test your skills

Concept

DAG

Topic in 1 exam domain

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Also called: Airflow DAG file, Airflow DAGs, DAGs, directed acyclic graph, Directed Acyclic Graphs

A Directed Acyclic Graph (DAG) is an Airflow workflow definition that organizes a collection of tasks according to their relationships and dependencies to run them at the right time and in the right order. On Associate Data Practitioner it comes up as a tool in Cloud Composer to orchestrate complex data pipelines by managing task dependencies and sequencing jobs beyond simple time-based scheduling.

What you can expect on the exam

Task dependency sequencing. Expect to evaluate how a DAG coordinates workflow execution by ensuring each downstream Task runs only after the upstream tasks it depends on have completed.
Execution triggering methods. Be ready to recognize that a DAG can be initiated on a recurring schedule, manually, or through event-driven mechanisms such as Pub/Sub topic messages.
Airflow DAG components. You may need to understand the core structure of a DAG defined in Python, which is composed of the DAG definition, Airflow operators, and operator relationships.

Where this appears on the exam

1 subdomain in 1 of 4 domains

Section 3
Data Pipeline Orchestration
1. 3.2Schedule, automate, and monitor basic data processing tasks
  - Create and manage scheduled queries (e.g., BigQuery, Cloud Scheduler, Cloud Composer)

How learners score on this topic

Last updated November 2, 2026

Associate Data Practitioner

Show you can work with data on Google Cloud, from ingesting and analyzing it with BigQuery and Looker to managing access, and track your readiness for the Associate Data Practitioner exam.

Fundamental

Prepare and test your skills

Fundamental

Prepare and test your skills

Concept

DAG

Topic in 1 exam domain

X LinkedIn Facebook Reddit

Also called: Airflow DAG file, Airflow DAGs, DAGs, directed acyclic graph, Directed Acyclic Graphs

What you can expect on the exam

Task dependency sequencing. Expect to evaluate how a DAG coordinates workflow execution by ensuring each downstream Task runs only after the upstream tasks it depends on have completed.
Execution triggering methods. Be ready to recognize that a DAG can be initiated on a recurring schedule, manually, or through event-driven mechanisms such as Pub/Sub topic messages.
Airflow DAG components. You may need to understand the core structure of a DAG defined in Python, which is composed of the DAG definition, Airflow operators, and operator relationships.

Where this appears on the exam

1 subdomain in 1 of 4 domains

Section 3
Data Pipeline Orchestration
1. 3.2Schedule, automate, and monitor basic data processing tasks
  - Create and manage scheduled queries (e.g., BigQuery, Cloud Scheduler, Cloud Composer)

How learners score on this topic

Last updated November 2, 2026

What you can expect on the exam

Where this appears on the exam

Related topics

How learners score on this topic

What you can expect on the exam

Where this appears on the exam

Related topics

How learners score on this topic