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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:
Nov 30, 2025
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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Related Salesforce Exams

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

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Question 1

What are predictive insights good for?

Options:

A.

Predicting outcomes that you don't actually have the right data for

B.

Exploring your existing data to see what already happened

C.

Drilling down into the underlying reasons behind a prediction

D.

Choosing between all possible outcomes for a single variable

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Question 2

A company wants to use Einstein Analytics to analyze the trend of their sales pipeline. The company wants to accelerate the sales process. To do so, they need to know the average time an opportunity spends in each stage. This value is not pre-calculated in Salesforce, so a consultant recommends using a dataflow to calculate it.

How can a dataflow be used to calculate the average time an opportunity spends in each stage?

Options:

A.

computeExpression Transformation with SAQL Expression to calculate the duration

B.

flatten Transformation with Offset Expressions to calculate the duration

C.

computeRelative Transformation with offset parameter to calculate the duration

D.

computeRelative Transformation with SAQL Expression to calculate the duration

Question 3

An Einstein Analytics team created a funnel chart to show the number of opportunities in each stage. The managers who use the chart report that the funnel shows stages in alphabetical order instead of sales cycle order.

In which two ways can a consultant help them address this issue? Choose 2 answers

Options:

A.

Use a dataflow to rename the stages with a preceding number.

B.

Use a dashboard JSON to rename stages.

C.

Use a dataflow to sort the stages by their internal name.

D.

Use a dataset XMD to rename stages.

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