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Exam Code: Tableau-CRM-and-Einstein-Discovery-Consultant                Update: Nov 30, 2025
Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant (SU24)

Salesforce Salesforce Tableau CRM Einstein Discovery Consultant (SU24) Tableau-CRM-and-Einstein-Discovery-Consultant Exam Dumps: Updated Questions & Answers (November 2025)

Question # 1

Timeout for ETL jobs that have been scheduled but not executed

A.

5 minutes

B.

15 minutes

C.

20 minutes

D.

10 minutes

Question # 2

Results from an Einstein Discovary story are reviewed with a business user. They agree with the findings but noticed that none of the fields used in the storyhave a correlation value greater than 4%. The client is now concerned that the model may not be good enough to

next steps?

A.

Rerun and update the story with a different algorithm.

B.

Proceed with deployment if the model quality metric values ire sufficient.

C.

Edit the model accuracy settings and rerun the story.

D.

Identify additional data that may have a stronger relationship with the outcome variable.

Question # 3

As part of their analysis, Yasmine, Tonya, and Hadiqa need to create and save lenses to their project app. What is the minimum app role they need to do this?

A.

Manager

B.

Viewer

C.

Editor

D.

Designer

Question # 4

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 withinSalesforce 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.

ComputeRelative

B.

ComputeExpression

C.

Augment

D.

flatten

Question # 5

Universal Containers has a Sales Manager dashboard- They have a compare table that displays the count of Customers and the Sum of Annual Revenue per year and per Account type. A consultant is asked to add more groupings to enhance details about their customers.

What is the maximum number of grouping columns that the consultant must be aware of in order to continue using a compare table versus creating the query using SAQL?

A.

8

B.

4

C.

unlimited

D.

10

Question # 6

A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores, and the customer sees chart related to promotional activities and to San Francisco specifically.

What conclusion can be drawn from this insight?

What conclusion can be drawn from this Insight?

A.

Of all promotions types in San Francisco, sales were the highest using Display promotion.

B.

Promotions increase sales stronger in San Franciscothan they do in other cities.

C.

The best promotion type is Display.

D.

The Other stores (visualized with the gray bars) show no significant data for the sales promotions.

Question # 7

A consultant is tasked with creating one query that shows how many opportunities and cases there are per account.

Cases and opportunities are found in two different datasets with a reference to the related Account via the AccoundId.

What options do the consultant have in Analytics Studio to create the query?

A.

A fill statement

B.

A cogrouop or union statement

C.

A union statement

D.

A cogroup statement

Question # 8

The edgemart transformation gives the dataflow access to an existing, registered dataset that can contain Salesforce data, external data, or a combination of both.

Where is anedgemart transformation specified?

A.

Dataflow Editor

B.

Recipes Editor

C.

Step Editor

D.

Settings

Question # 9

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?

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 # 10

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.

Use theAnalytics External Data API and leverage the "query" resource.

B.

Export the dataset as an XLS file and use the Einstein Analytics Connector for Excel.

C.

Use the Analytics REST API and leverage the -query" resource.

D.

Export the dataset as a CSV file andload it to an external database.

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Total 71 questions

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