Which tool can schedule a multi-step data workflow with DAGs?
Why D is the answer
Managed Service for Apache Airflow
Managed Service for Apache Airflow, formerly Cloud Composer, runs Apache Airflow DAGs. Workflows is a lighter alternative.
In detail
- Managed Service for Apache Airflow schedules DAGs.
- Workflows is a lighter option.
Use case
An illustrative scenario, not a real incident.
A team schedules a multi-step workflow as a DAG in Managed Service for Apache Airflow.
See it in different ways
flowchart LR A["Extract"] --> B["Transform"] A --> C["Validate"] B --> D["Load"] C --> D
sequenceDiagram participant C as Managed Service for Apache Airflow participant J as Dataproc job participant L as Cloud Logging participant O as Operator C->>J: Start the step J--xC: Fails C->>J: Retry J->>L: Logs C-->>O: Alert if retries run out
flowchart LR S0["Define DAG"] --> S1["Schedule"] --> S2["Run tasks"] --> S3["Monitor"]
Key point: Managed Airflow schedules DAGs.
Why the other options are wrong
- A. Cloud DLP
- Cloud DLP protects data.
- B. BigLake
- BigLake is for analytics.
- C. Memorystore
- Memorystore is a cache.

