Question 1

Universal Containers (UC) builds three Einstein Discovery models in Salesforce to predict and maximize its revenue per customer. The modelsare for every region UC has a business: EMEA, AMER, and APAC. How should a consultant help UC deploy the three Einstein models to Salesforce?

Options :

A : Filter the account data per region and deploy the same model to all segments.

B : Segment the account data per region and deploy the appropriate model for each segment.

C : Deploy the same mode! to all accounts and use an Apex trigger to segment the prediction.

Answer: B

Question 2

A consultant created an Einstein Analytics dashboard in a sandbox. Now, the dashboard needs to be migrated into production.To complete the migration, what are the consultant's three options? Choose 3 answers

Options :

A : Ant Migration Tool

B : Analytics External Data API

C : Analytics REST API

D : Change sets

E : Analytics dashboard connector

Answer: A,C,D

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.

Answer: A,D

Question 4

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?

Options :

A : Make adjustments to the story to better demonstrate that the third-party payment app is the culprit.

B : Use the credit card company-s domain knowledge and exclude the third-party payment app from the story.

C : Explain to the company that the story has returned unbiased results and the initial assessment is accurate.

D : Ask the credit card company for a more comprehensive dataset to analyze.

Answer: C

Question 5

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

Options :

A : Create a recipe to generate a new dataset from the "OpportunityWithAccount" and "CaseWithAccount" datasets aggregated by Account, and use the generated dataset in a lens.

B : Use "Compare Table" to join the "OpportunityWithAccount" and "CaseWithAccount" datasets using the "Accountld" and then aggregate by Account.

C : Set up Connect Data Sources in the UI between the "OpportunityWithAccount" and "CaseWithAccount" datasets.

D : Set up Connect Data Sources in the UI between the "OpportunityWithAccount" and "CaseWithAccount" datasets.

Answer: D