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Tableau-CRM-and-Einstein-Discovery-Consultant exam
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Salesforce Tableau CRM Einstein Discovery Consultant(SP23)

Last Update May 18, 2024
Total Questions : 242

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Salesforce Tableau CRM Einstein Discovery Consultant(SP23) Questions and Answers

Questions 1

Using the Setup menu, the Universal Containers company activated data sync (replication) in the Einstein Analytics settings. After running the sync, they notice that the aggregate sum of a field within their dataset is different than what they manually calculated by summing the same data in the Salesforce object from which the dataset was populated.

Which two differences in the newly synced data can explain this? Choose 2 answers

Options:

A.

Differences involving permanently deleted records

B.

Differences involving workflow-updated fields

C.

Differences involving formula fields

D.

Differences involving trigger-updated fields

Questions 2

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

Options:

A.

Third-order analysis

B.

Object-oriented analysis

C.

Second-order analysis

D.

First-order analysis

E.

Spectrum analysis

Questions 3

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'

Options:

A.

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.

B.

Use "Compare Table" to join the "OpportunityWithAccount" and "CaseWithAccount" datasets using the "Accountld" and then aggregate by Account.

C.

Set up Connect Data Sources in the UI between the "OpportunityWithAccount" and "CaseWithAccount" datasets.

D.

Use a SAQL query to group and join the "OpportunityWithAccount" and "CaseWithAccount" datasets then generate the results.

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