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

Question # 11

As a tableau CRM consultant you have been asked to bring data from a Snowflake database as well external Salesforce environment into Tableau CRM (CRM Analytics Plus edition). 25 objects have been enabled from the local Salesforce connector. After further investigation of the external Salesforce environment and 15 object each from the remaining 2 external Salesforce environment. You estimate each connector will per object bring between 1000 and 1 mil rows of data.
What limit will be exceeded?

A. Storage rows of data 
B. Salesforce external connector number of synced rows 
C. Total number of enabled objects 
D. Snowflake connector number synced rows 


Question # 12

Which set of statements generates monthly amount on a cumulative basis annually?
 

A. Option A 
B. Option B 
C. Option C 
D. Option D 


Question # 13

After the initial creation of a story, the first story insight explains 93% of the variation of the outcome variable. This is unusual high? What is the most likely multiple for this? 

A. The dataset contains multiple dominant values. 
B. The dataset contains too many rows. 
C. The dataset used in the story suffers from too many outlier values. 
D. The outcome variable is causing data leakage. 


Question # 14

A consultant built a very useful Einstein Analytics app for the corporate Sales Operations team of a company that has multiple Salesforce Ogrs, Each Org has similar models and would like to review their data the way that the corporate Sales Operations team does. The app has been packaged and needs to be installed on the other production orgs. What is the recommended practice to install the custom template app? 

A. Rest API 
B. Salesforce Managed Package 
C. Change Sets 
D. Metadata API 


Question # 15

A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included. Which action should the Einstein Consultant take?

A. Split the analysis into multiple models will each having fewer products 
B. Adjust the model to eliminate extreme values in the outcome variable. 
C. Run the model using the default variables in the Product object 
D. Use SKU numbers rather than product names to increase clarity. 


Question # 16


Universal Containers reports that nay selection in the List widget is not affecting the pie chart in one of their tableau CRM dashboard. They query options associated with the List widget and Pie chart are shown in the graphic Which change can a Tableau CRM Consultant implement to solve this issues, given that the queries are using the same dataset? 

A. Set faceting to All instead of None in the query “Step_pie_1.” 
B. Use result binding/interaction in the filters section of the query “Step_pie_1.” 
C. Set faceting to all instead of None in the query “Region_1.” 
D. Use selection binding/interaction in the filters section of the query “Region_1.” 


Question # 17

A Tableau CRM consultant has just completed deployment of an analytic app containing a recipe plus several datasets and dashboards. While conducting post deployment a smoke test, the new datasets don't seem to have migrated. What post migration step has likely been forgotten? What post migration step has likely been forgotten?

A. Apply security predicates on datasets 
B. Run the recipe 
C. Provide read access on the datasets 
D. Go to Analytics Settings in Setup and approve the deployment 


Question # 18

A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores and sees this chart. The visualized tooltip belongs to the blue bar for San Francisco, reflecting, November daily sales quantities in that city specifically. What two conclusions can be drawn from this insight?

A. The average daily in SAN Francisco stores in November as 1601 items higher than the global average of 335. 
B. November sales are higher than in other months. This November-effect is the strongest in San Francisco. 
C. The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all other months in San Francisco. 
D. The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all November sales in the country 


Question # 19

The Universal Containers Einstein Analytics team built a dashboard with two widgets: 1. List widget associated to the step "Type_2" and grouped by the dimension "Type" (multiselection) 2. Pie chart widget associated to the step "Step_pie_3" and grouped by the dimension "Type" The team wants to use bindings so any selection in the List widget will filter the Pie chart. Additional notes: * The steps use different datasets. * Users should be able to choose more than one Type (multi-selection). What is the right syntax for the binding?

A. Option A 
B. Option B
 C. Option C 
D. Option D 


Question # 20

The Tableau CRM team at a company creates three recipes. 1) myRecipeOne: this recipe takes 2 hours to run. 2) mvRedpeTwo: this recipe takes 1 hour and 30 minutes to run. 3) myRecipeThree: this recipe takes 1 minute and 30 seconds to run. If all three recipes run, how many count towards the 24 hour rolling recipe run limit.c

A.
B.
C.
D.


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