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Salesforce Tableau CRM Einstein Discovery Consultant (SU24) Dumps November 2025

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Salesforce Tableau-CRM-and-Einstein-Discovery-Consultant Sample Questions

Question # 1

A training dataset Is being prepared for a Einstein Discovery story. One skewed with outliers. at action should the Einstein consultant take?

A. Remove the outlier rows. 
B. Nothing, because the field is not the outcome variable. 
C. Change the method of binning to fixed width. 
D. Remove the field because it has bad data 


Question # 2

A consultant has been brought in to help increase the adaption of Tableau CRM. It has been identified that account managers are struggling to get an overview of their accounts before meeting with them. Ideally they would like to have key details highlighted about active cases and opportunities, opportunity value and product whitespace. What can the consultant do to increase adoption?

A. Create 4 analytics lenses and embed them onto the account record page 
B. Create datasets for account managers to explore 
C. Create a dashboard and embed it onto the account record page with a filter based on the viewed account 
D. Create a dashboard and embed onto the account record page 


Question # 3

A data architect wants to use a dataflow transformation to implement row-level security that is based on role hierarchy in Salesforce. Which transformation should be used to level the dataset hierarch?

A. digest transformation 
B. flatten transformation 
C. delta transformation 
D. sfdcDigest transformation 


Question # 4

To model customer value, a consultant decided to aggregate the amount ($) individual customers spent over a 2-year span. With reference to the outcome variable, which action should the consultant take?

A. Create five bins of revenues, ranging from Very High Value, high Value, average Value, Low Value, and very Low Value in dataflow. 
B. Select the option: Are you expecting a whole number greater than or equal to 0? 
C. Create five bins or revenue, ranging from very high Value, High Value, Average Value, Low Value, and Very Low Value in data prep. 
D. Select to minimize the outcome variable. 


Question # 5

Your sales team requests that datasets for their dashboards are refreshed every hour. You agree to investigate if this is possible and find that the dashboards use A datasets created from two recipes. The first recipe takes 43 min to run and the second recipe takes 25 min to run. Is it possible to refresh data every hour? 

A. Yes, the number of recipe runs does not exceed the limit of 60 in a 24 hour rolling period. 
B. No, the number of recipe runs exceed the limit of 40 in a 24 hour rolling period.
 C. No, the total duration of the recipe jobs exceeds one hour. 
D. Yes, with the concurrent recipe runs the duration is less than hour. 


Question # 6

Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic.


Given that the steps are using different datasets. which two changes can an Einstein Consultant make to solve this issue' Choose 2 answers

A. Use 'Connect Data Sources" and create a connection to connect the two datasets. 
B. Use selection binding in the filters section of Che step "Step_pie_2." 
C. Use "Connect Data Sources" and create a connection to connect the two widgets.
 D. Use selection binding in the filters section of the step "Type_l." 


Question # 7

A consultant has created a story to maximize the daily sales quantity of consumer products in stores. After creating a story, the consulting is presented with this data alert by Einstein Discovery (see graphic). What are two appropriate actions to take? Choose 2 answers

A. Remove the outliers as suggested by Einstein and deploy the model. 
B. Remove the outliers as suggested by Einstein, and verify using model metrics and story insights if the quality improved. 
C. Discuss with the client if values below 0 and above 2,489 are so uncommon that they should perhaps be left out of the story. 
D. Manually remove the sales bellow 0 (negative sales must be a data issue), but keep the large value (the more data, the better the model will be). 


Question # 8

A Tableau CRM consultant has created three recipes that each produce a dataset. Recipe1 creates Dataset1. Recipe2 created Dataset2. Recipe2 created Dataset3. Recipe3 is dependent on Dataset1, while Recipe1 and Recipe2 have no dependencies. How should the consultant implement the recipe schedule?

A. Make Recipe1 and Recipe2 time based, but make Recipe3 event based when Recipe1 has successfully completed. 
B. Make Recipe1 and Recipe2 time based, but make Recipe3 event based when Recipe1 and Recipe2 have successfully completed.
 C. Make Recipe1 and Recipe2 time based, but make Recipe3 event based when the local Salesforce connector has completed. 
D. Make all three recipe time based and schedule all of them at the same time, the data manage will automatically run them in the correct order. 


Question # 9

Which three things can be done with the tableau CRM Dashboard Inspector? Choose 3 answers

A. Get a list of recommendations on how to improve the performance of the dashboard. 
B. View the total time required to run all queries. 
C. Automatically remove bottlenecks to make queries run faster. 
D. View all queries and the time it took to run each one. 
E. See the final query for each query along with query results. 


Question # 10

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 


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