Salesforce Certified Tableau CRM and Einstein Discovery Consultant Practice Test - Questions Answers, Page 22

A consultant built a very useful Einstein Analytics app for the corporate Sales Operations team of a company that has multiple Salesforce Ogrs, Each Org has similar models and would like to review their data the way that the corporate Sales Operations team does. The app has been packaged and needs to be installed on the other production orgs.

What is the recommended practice to install the custom template app?

A story created has an AUC of .62.

What two things could be done to possible improve this AUC score?

Choose 2 answers

An Einstein Analytics Consultant is working with a subscriptions based company to build a dashboard to understand customer renewals. Each subscription is captured as a Closed Won Opportunity within Salesforce Unfortunately the Opportunity record does not specify whether it is a renewal or a net new subscription.

Which data transformation should be used to determine if a subscription is new or a renewal?

A Tableau CRM consultant has created three recipes that each produce a dataset.

Recipe1 creates Dataset1.

Recipe2 created Dataset2.

Recipe2 created Dataset3.

Recipe3 is dependent on Dataset1, while Recipe1 and Recipe2 have no dependencies.

How should the consultant implement the recipe schedule?

A Tableau CRM consultant is asked to add a new SalesTax field to a Product Sales dataset. The formula to calculate SalesTax is (SubTotal'CountyTax).

Which node should the consultant use in a recipe to calculate and insert SalesTax to the dataset?

A consultant has created a story to maximize the daily sales quantity of consumer products in stores. After creating a story, the consulting is presented with this data alert by Einstein Discovery (see graphic).

What are two appropriate actions to take?

Choose 2 answers

A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores, and the customer sees chart related to promotional activities and to San Francisco specifically.

What conclusion can be drawn from this insight?

What conclusion can be drawn from this Insight?

Your sales team requests that datasets for their dashboards are refreshed every hour. You agree to investigate if this is possible and find that the dashboards use A datasets created from two recipes. The first recipe takes 43 min to run and the second recipe takes 25 min to run.

Is it possible to refresh data every hour?

A consultant is creating a Churn Prediction model to identify customers who are not likely to renew their contract.

What is the appropriate action to take?