The role of the metadata store in monitoring MLOps
The video and exercises on the metadata store conclude your deep dive into some of the key components of a fully automated architecture. You have learned the important role of metadata in an automated MLOps workflow and how the metadata store is central to enabling the full automation of ML workflows.
In this exercise, you will classify the statements presented to you. These statements will be either true or false.
This exercise is part of the course
Fully Automated MLOps
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
