You are part of the engineering team at a company that operates a ticketing platform for a large chain of cinemas. The platform allows customers to use a mobile app to search for movies they are interested in and purchase tickets directly through the app. The process of ticket purchasing involves sending requests to Pub/Sub, which are then processed by a Dataflow streaming pipeline. This pipeline is designed to perform the following steps with low latency requirements (less than 50 milliseconds for each step): 1. Checking the availability of movie tickets at the selected cinema. 2. Assigning the price of the ticket and accepting payment. 3. Reserving the tickets at the chosen cinema. 4. Updating the database with successful purchases. Recently, you developed a logistic regression model using BigQuery ML, which predicts whether offering a promo code for free popcorn increases the likelihood of a ticket purchase. This prediction needs to be integrated into the ticket purchasing process. What is the simplest way to deploy this model to production while ensuring minimal latency?