Tableau-CRM-and-Einstein-Discovery-Consultant Practice Test

A consultant built an Einstein Analytics app for the Sales Operations team. The team wants to share this app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
In the process of creating the template, which role does the original Einstein Analytics app for the Sales Operation team play?

A. It is the template.

B. It is the instance.

C. It is the master.

D. It is the target.

An Einstein Analytics team plans to enable data sync (replication).
Which two limits are specific to data sync (replication) and should be considered before enabling the feature because they might impact existing jobs?
Choose 2 answers

A. Maximum number of dataflow definitions

B. Maximum number of dataflow transformations

C. Maximum number of objects that can be enabled for data sync (replication)

D. Timeout for ELT (Extract Load Transform) jobs that are scheduled but not yet executed

How many concurrent stories per org are allowed?

A. 5

B. 4

C. 2

D. 1

Results from an Einstein Discovary story are reviewed with a business user. They agree with the findings but noticed that none of the fields used in the story have a correlation value greater than 4%. The client is now concerned that the model may not be good enough to next steps?

A. Rerun and update the story with a different algorithm.

B. Proceed with deployment if the model quality metric values ire sufficient.

C. Edit the model accuracy settings and rerun the story.

D. Identify additional data that may have a stronger relationship with the outcome variable.

What are predictive insights good for?

A. Predicting outcomes that you don't actually have the right data for

B. Exploring your existing data to see what already happened

C. Drilling down into the underlying reasons behind a prediction

D. Choosing between all possible outcomes for a single variable