You recently trained an XGBoost model on tabular data for use within your organization. You plan to expose the model as an HTTP microservice so that internal teams can make predictions using the model. After deployment, you expect a small number of incoming requests. Given these requirements, you want to productionize the model with the least amount of development effort and ensure low latency for predictions. What should you do? | Google Professional Machine Learning Engineer Quiz