
Ultimate access to all questions.
As a lead ML engineer at a retail company, you are responsible for ensuring that your team can track and manage ML metadata in a centralized way. This is crucial for enabling reproducible experiments and generating artifacts consistently. Considering the need for an efficient management solution, which tool or service would 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.