Which feature lets analysts train a model with SQL in the warehouse?
Why C is the answer
BigQuery ML
BigQuery ML lets analysts train models with SQL inside the warehouse.
In detail
- BigQuery ML trains models with SQL.
- No separate tools are needed.
Use case
An illustrative scenario, not a real incident.
Analysts train a forecast with SQL in BigQuery ML, and the data stays in place.
See it in different ways
mindmap
root((Processing))
Dataflow
Apache Beam
Dataproc
Existing Spark
Data Fusion
Visual, code free
Dataform
SQL in BigQuery
Managed Airflow
DAG orchestrationflowchart LR S0["Write SQL"] --> S1["Train"] --> S2["Predict"]
Key point: BigQuery ML trains with SQL.
Why the other options are wrong
- A. Pub/Sub
- That carries messages.
- B. Transfer Appliance
- That moves data offline.
- D. Datastream
- That replicates data.