GCP Cloud Digital Leader Practice Question

BigQuery ML lets users create, train, and evaluate machine-learning models-including time-series forecasting-simply by writing SQL that runs where the data already resides. This avoids data movement and eliminates the need for Python or specialized ML frameworks, making it ideal for a SQL-proficient analyst. Cloud AutoML Tables can also access BigQuery data without export, but it relies on a separate graphical interface/API rather than pure SQL. Vertex AI Workbench with custom TensorFlow training requires coding and environment management, and Cloud Dataflow SQL is primarily for data processing rather than model training. Therefore, BigQuery ML is the best fit for the stated requirements.