Salesforce Tableau-CRM-Einstein-Discovery-Consultant : Salesforce Tableau CRM Einstein Discovery Consultant

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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:

Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

Question #1
Concurrent queries per user?

A. 25
B. 50
C. 10
D. 20

Question #2
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. Augment
B. ComputeRelative
C. ComputeExpression
D. flatten

Question #3
An Einstein Discovery team created a model to maximize the margin of their sales opportunities. They want to deploy the model to the Opportunity object in order to predict the outcome of every newly created or updated Opportunity.
What are the steps to accomplish this?

A. Create a trigger on Opportunity and use the REST API to get predictions from Einstein Discovery.
B. Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.
C. Create a trigger on Opportunity and use the Salesforce External Connector to get predictions from Einstein Discovery.
D. Create a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange.

Question #4
A company used Einstein Analytics to create two datasets:
1. "Opportunity With Account- dataset, which contains data from the Opportunity standard object augmented by the Account data.
2. "Case with Account" dataset. which contains data from the Case standard object augmented by the Account data.
The company wants to build a lens showing the total number of Opportunities and Cases per Account. How can a consultant help them build this lens'

A. Set up Connect Data Sources in the UI between the "OpportunityWithAccount" and "CaseWithAccount" datasets.
B. Use a SAQL query to group and join the "OpportunityWithAccount" and "CaseWithAccount" datasets then generate the results.
C. Create a recipe to generate a new dataset from the "OpportunityWithAccount" and "CaseWithAccount" datasets aggregated by Account, and use the generated dataset in a lens.
D. Use "Compare Table" to join the "OpportunityWithAccount" and "CaseWithAccount" datasets using the "Accountld" and then aggregate by Account.

Question #5
A consultant built an Einstein Analytics dashboard for a shipping company. The dashboard displays data from several data sources- The consultant enabled data sync (replication) to increase the speed of data refreshing from these sources.
What is the maximum number of dataflow definitions available in this situation?

A. 25
B. 45
C. 30
D. 35

Solutions: