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Salesforce Tableau-CRM-and-Einstein-Discovery-Consultant Exam With Confidence Using Practice Dumps

Exam Code:
Tableau-CRM-and-Einstein-Discovery-Consultant
Exam Name:
Salesforce Tableau CRM Einstein Discovery Consultant (SU24)
Certification:
Salesforce Consultant
Vendor:
Salesforce
Questions:
239
Last Updated:
Jan 10, 2026
Exam Status:
Stable
Salesforce Tableau-CRM-and-Einstein-Discovery-Consultant

Tableau-CRM-and-Einstein-Discovery-Consultant: Salesforce Consultant Exam 2025 Study Guide Pdf and Test Engine

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Salesforce Tableau CRM Einstein Discovery Consultant (SU24) Questions and Answers

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Question 1

In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in green; a value of false should result in the display of the word "No" in red.

In which two ways can this be accomplished? Choose 2 answers

Options:

A.

Download the XMD for the dataset and change the values and color for the fields and then upload to the dataset.

B.

In the explorer, select the boolean fields and use the "edit values" option on the fields to change values and colors.

C.

Create an XMD node in the dataflow to change the label and color of the values in the fields.

D.

In the explorer, select the boolean fields, then create a derived dimension that references the boolean fields, and then modify the values and colors of the derived dimension.

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Question 2

A consultant is working with a credit card company that needs help with ongoing fraudulent transactions. The company provides a representative sample dataset for the consultant to analyze in Einstein Discovery. The story's initial assessment shows that a third-party payment app is the source of these fraudulent transactions. However, the company rejects this assessment outcome, stating they have not had a partnership with this payment app long enough for it to be a concern.

What is the recommended next step to improve the story outcome?

Options:

A.

Make adjustments to the story to better demonstrate that the third-party payment app is the culprit.

B.

Use the credit card company's domain knowledge and exclude the third-party payment app from the story.

C.

Explain to the company that the story has returned unbiased results and the initial assessment is accurate.

D.

Ask the credit card company for a more comprehensive dataset to analyze.

Question 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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