Dag — Google Cloud ML Engineer Practice Questions

A Directed Acyclic Graph (DAG) is a data structure used to represent workflow dependencies, where nodes are tasks and directed edges encode execution order with no cycles. In machine learning pipelines on Google Cloud, DAGs are central to orchestration tools like Cloud Composer (Apache Airflow) and Vertex AI Pipelines (Kubeflow Pipelines), where each step, such as data ingestion, preprocessing, training, and evaluation, must execute in the correct order. The Google Cloud ML Engineer exam tests your ability to design and troubleshoot DAG-based pipelines, ensuring tasks are idempotent, dependencies are correctly declared, and failures can be retried without corrupting pipeline state.

Free questions on dag