The Universal Containers company used Einstein Analytics to create two datasets:
Dataset A: contains a list of activities with an "activitylD" dimension and a "userlD" dimension
Dataset B: contains a list of users with a "userlD" 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 the dataflow transformation "delete" and set "userlD" as the deletion ID.
B . Use a combination of dataflow transformations: "augment" and "filter."
C . Use an external ETL tool to extract both datasets and delete records. D, Use the recipe operation "delete" and set "userlD" as the deletion ID.
Answer: B
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