In the context of a ticketing platform for a renowned cinema chain, customers utilize a mobile app to search and purchase tickets. The platform employs a Dataflow streaming pipeline to handle requests, which includes verifying ticket availability, assigning prices, processing payments, reserving tickets, and updating the database upon successful purchases. Each step must maintain a low latency of no more than 50 milliseconds. To enhance the likelihood of ticket purchases, a logistic regression model has been developed using BigQuery ML to offer promotional codes for free popcorn. Given the constraints of low latency and the need for real-time processing, which of the following methods is the simplest and most effective to deploy this model into production? Choose the best option.