You are a lead ML engineer at a retail company. You want to track and manage ML metadata in a centralized way so that your team can have reproducible experiments by generating artifacts. Which management solution should you recommend to your team?

A. Store your tf.logging data in BigQuery. B. Manage all relational entities in the Hive Metastore. C. Store all ML metadata in Google Cloud’s operations suite. D. Manage your ML workflows with Vertex ML Metadata.