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What are the two types of bindings? Choose 2:
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?
You can get data into Einstein Discovery:
A story has been deployed to the Opportunity object with a prediction field, Predicted Amount. How can all the Opportunity records be predictions written back to the Predicted Amount field?
A Tableau CRM consultant develops a dashboard called SalesPerformance_l in a sardbox environment. To deploy the recipe the consultant creates a package in workbench What is the correct meta data reference in the xml file?
How many external files can be uploaded to Einstein Analytics on rolling 24 hour basis?
Number of queries per user per day
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 ?
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
A consultant built an Einstein Analytics dashboard for a company. The company then requested an enhancement to the dashboard and provided additional data that needs to be displayed. As a result, the consultant decides to 'augment' the dataflow. Which phrase describes this transformation?

Question 231 - Certified Tableau CRM and Einstein Discovery Consultant discussion

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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.
Answers
A.
The dataset contains multiple dominant values.
B.
The dataset contains too many rows.
Answers
B.
The dataset contains too many rows.
C.
The dataset used in the story suffers from too many outlier values.
Answers
C.
The dataset used in the story suffers from too many outlier values.
D.
The outcome variable is causing data leakage.
Answers
D.
The outcome variable is causing data leakage.
Suggested answer: A
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asked 23/09/2024
Hermann Saint-Fleur
39 questions
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