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Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. 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) Ask the credit card company for a more comprehensive dataset to analyze.
B) Explain to the company that the story has returned unbiased results and the initial assessment is accurate.
C) Use the credit card company's domain knowledge and exclude the third-party payment app from the story.
D) Make adjustments to the story to better demonstrate that the third-party payment app is the culprit.

2. What do you have to assign to users before they can access Analytics?

A) Permission set with at least one Analytics user permission
B) A and B
C) Analytics permission set license (PSL)
D) B and C
E) Username and password

3. A client has a dataset comprised of Opportunity data and Opportunity Line level dat a. The client wants to use this dataset with Einstein Discovery to understand the Opportunity win rate.
What must be done to the dataset to achieve this goal?

A) Select the isWon = True outcome variable and generate the story.
B) Filter to only look at isWon = True records to avoid skewing the results.
C) Change the grain by removing the line level detail as it will skew the win rate.
D) Click Create Story and Einstein will take care of the rest.

4. An Einstein Consultant is reviewing the "Why it Happened" Insights provided by Einstein Discovery with the customer. The customer would like to validate the results. Which action should the consultant take?

A) Use the Share and Export feature to help the customer determine if the findings make logical sense
B) Consult with a Data Scientist to validate the findings
C) Check the p-values and standard deviation
D) Show the customer how to export and review the R-Code model validation results

5. The Universal Containers company uses a Microsoft Azure SQL Data Warehouse to gather information about sales representatives' objectives. They want to use Einstein Analytics to gain insights from this data; therefore, they need to automatically load the warehouse's data into an Einstein Analytics dataset on a daily basis. The data also needs to be transformed and merged with data from the company's org.
Which three Einstein Analytics user interface features can be used to complete these requirements? Choose 3 answers

A) Recipes
B) Dataflow
C) Einstein Analytics Connector for Excel
D) Analytics REST API
E) Microsoft Azure SQL Data Warehouse Connector

Solutions: