What is the difference between Vertex ML Metadata and Audit logs in Vertex AI's context ?

[gauravpant]

Vertex ML Metadata is local to Vertex AI , on the other hand Audit logs are kind of characteristic of the GCP itself . 

Both the features can essentially tell us about our ML workflow .

To know about a certain Machine Learning workflow outside of Google Cloud Console (  using nodejs apis ) , which of the feature among the 2 should be used and why ?