A manufacturing company wants to use Amazon Lookout for Equipment to detect anomalies in their factory's heavy machinery. They have historical sensor data stored in Amazon S3 and want to ensure that their machine learning model is continuously updated with new sensor data as it becomes available. Which AWS service combination would be most effective for implementing a real-time data processing and model updating pipeline in this scenario? (Select two)