The Universal Containers company used Einstein Analytics to create two datasets:

Dataset A: contains a list of activities with an “activityID” dimension and a “userID” dimension
Dataset B: contains a list of users with a “userID” dimension

The team wants to delete from Dataset A all activities related to users in Dataset B.

How can an Einstein Consultant help them achieve this?

A. Use an external ETL tool to extract both datasets and delete records

B. Use a combination of dataflow transformations: “augment” and “filter”

C. Use the recipe operation “delete” and set “userID” as the deletion ID
D. Use the dataflow transformation “delete” and set “userID” as the deletion ID