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Einstein-Analytics-and-Discovery-Consultant – Salesforce Einstein Analytics and Discovery Consultant(SU19)

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Showing 1–3 of 10 questions

Question 1

The model quality metrics of an Einstein Discovery story indicate that the GINI coefficient in the four folds are – 0.82, 0.83, 0.84, and 0.75, respectively.

Which two actions should a consultant take? (Choose two.)

Select all that apply, then click Submit answer.

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    Research and check the dataset for outliers in the target field and the main predictors that are shown on top of the story
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    Deploy the story, because the variation in the metrics is within the normal range
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    Do not deploy the story immediately, and research why one fold is performing worse than the others
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    Confirm that the overall GINI coefficient is good prior to deploying the story
Question 2

A company wants to allow users who belong to an account team to see all the Opportunities associated with that Account in Einstein Analytics.

Which two actions accomplish this requirement? (Choose two.)

Select all that apply, then click Submit answer.

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    In the dataflow, extract the OpportunityTeamMember object and augment it with the Opportunity object using ‘OpportunityId’ as the join field and apply the following security predicate: ‘OpportunityTeamMember.UserId’ = = “$User.Id”.
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    Apply sharing inheritance.
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    Create a master-detail relationship between the Salesforce Account and Opportunity objects.
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    In the dataflow, extract the AccountTeamMember object and augment it with the Opportunity object using ‘AccountId’ as the join field and apply following security predicate: ‘AccountTeamMember.UserId’ = = “$User.Id”.
Question 3

What are two benefits of designing using the “Progressive Disclosure” principle? (Choose two.)

Select all that apply, then click Submit answer.

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    Better dashboard performance
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    Automatic conditional formatting
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    Discounted EA licenses when growth is achieved
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    Improved ease of use for end users