Imagine you are managing a support system with a large corpus of written support cases that can be classified into 3 separate categories: Technical Support, Billing Support, or Other Issues. Your goal is to quickly build, test, and deploy an automated service that will classify future written requests into one of these categories. Considering the need for fast development and deployment, how should you configure the machine learning pipeline?