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Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. A client has a dataset comprised of Opportunity data and Opportunity Line level dat a. The client wants to use this dataset with Einstein Discovery to understand the Opportunity win rate.
What must be done to the dataset to achieve this goal?

A) Click Create Story and Einstein will take care of the rest.
B) Select the isWon = True outcome variable and generate the story.
C) Change the grain by removing the line level detail as it will skew the win rate.
D) Filter to only look at isWon = True records to avoid skewing the results.

2. What is another name for the type of insight that examines how one variable explains variation of the outcome variable?

A) Second-order analysis
B) Third-order analysis
C) First-order analysis
D) Object-oriented analysis
E) Spectrum analysis

3. 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) flatten
B) Augment
C) ComputeExpression
D) ComputeRelative

4. A company wants to build a webpage that displays KPIs that can be derived from values in datasets stored in Einstein Analytics. How can an Einstein Analytics consultant derive those KPIs from those datasets?

A) Export the dataset as an XLS file and use the Einstein Analytics Connector for Excel.
B) Use the Analytics REST API and leverage the -query" resource.
C) Export the dataset as a CSV file and load it to an external database.
D) Use the Analytics External Data API and leverage the "query" resource.

5. Upper and lower limits on rows in discovery.

A) 1000 row minimum, 15,000,000 max
B) 500 row minimum, 25,000,000 max
C) 3000 row minimum, 20,000,000 max
D) 00 row minimum, 20,000,000 max

Solutions: