In what order does Einstein Discovery present the insights that it uncovers?

• A.B and D
• B.Alphabetical, in ascending order
• C.Alphabetical, in descending order
• D.Insights that explain the most variation in the outcome variable, in ascending order
• E.Insights that explain the most variation in the outcome variable, in descending order

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An Einstein Analytics consultant is notified of a performance issue with data sync (replication). The consultant researches the issue and determines that unnecessary data is being synced.
Which solution should the consultant implement to help improve data sync (replication) performance?

• A.Update the existing data sync (replication) process by removing unused fields with a filter to extract relevant data.
• B.Scale down the number of datasets to help improve data sync (replication) performance.
• C.Modify dataflows to exclude unused fields and include a filter to extract relevant data.
• D.Start over again with new dataflows that exclude unused fields with a filter to extract relevant data.

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A customer displays a lot of data and wants a way to dynamically emphasize certain values on a bar chart in order to properly grab the user's attention.
What can an Einstein Consultant use to accomplish this task?

• A.Customize tooltip
• B.Chart Markers
• C.XMD
• D.Compare Table

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You are asked to update and maintain your company's Einstein Analytics dashboards.
A request comes in for one of the dashboards that contains steps from different datasets. The request is to make it possible for a table from one dataset to be filtered by the results of a chart from another dataset. Your solution is to create a results binding.
Which three steps should you implement to create the binding?

• A.Look up the API name of the source field
• B.Find source and target step names
• C.Look up the API name of the filtering field
• D.Configure the results binding on the target step in the dashboard JSON.

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An Einstein Consultant receives a request from the Marketing department to help them understand lead conversion. Presently, they are unaware of the percentage of leads that get converted to sales. They hope to view results by account manager, value, and quarter. The data is there, so the consultant can add it to the marketing dashboard.
How should this metric be calculated?

• A.Create a new step in the dashboard using a compare table and define a formula.
• B.Create a formula field on the lead object in Salesforce and add it to the dataset.
• C.Create a new step in the dashboard using a compare table and the running total function.
• D.Create a computeExpression in the dataflow.

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