How should you configure the pipeline?

You are building an ML model to detect anomalies in real-time sensor data. You will use Pub/Sub to handle incoming requests.

You want to store the results for analytics and visualization.

How should you configure the pipeline?
A . 1 = Dataflow, 2 – Al Platform, 3 = BigQuery
B . 1 = DataProc, 2 = AutoML, 3 = Cloud Bigtable
C . 1 = BigQuery, 2 = AutoML, 3 = Cloud Functions
D . 1 = BigQuery, 2 = Al Platform, 3 = Cloud Storage

Answer: A

Explanation:

Reference: https://cloud.google.com/solutions/building-anomaly-detection-dataflow-bigqueryml-dlp