Fully automated MLOps

In the world of machine learning, deploying a successful ML system requires much more than just developing an accurate model. It involves managing the entire lifecycle of the ML system, from understanding business and data context to designing the system, and deploying it to production.

In this exercise, you will have the opportunity to test your knowledge of the MLOps lifecycle by identifying the stages of the lifecycle that most accurately describe the process of building and deploying an ML system. By the end of the exercise, you should have a better understanding of the stages involved in the MLOps lifecycle and how they relate to one another.

Choose the answer that describes the stages of the MLOps lifecycles most accurately.