An Einstein Consultant is implementing encryption for a customer.
Which two statements about Einstein Analytics Encryption are true? Choose 2 answers

• A.When Einstein Analytics Encryption is enabled, all newly registered datasets are encrypted at rest.
• B.By default, the same keys are used to encrypt data in Einstein Analytics as are used to encrypt data in Salesforce objects.
• C.The customer's org must have a Shield Platform Encryption tenant secret.
• D.Bring Your Own Key is not supported.

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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

• A.Ant Migration Tool
• B.Analytics External Data API
• C.Analytics REST API
• D.Change sets
• E.Analytics dashboard connector

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Insights in a story show you how different variables and combinations of variables explain the variation of what kind of variable?

• A.Explanatory variable
• B.Outcome variable
• C.Global variable
• D.Local variable
• E.Tertiary variable

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Which of the following is true about the Service Analytics Overview dashboard?

• A.It's a great place to start your analysis.
• B.It lets you drill down to more detailed dashboards, like agent performance, channel review, and telephony metrics.
• C.It's available on desktop and mobile.
• D.All of the above.
• E.It instantly provides key metrics on open cases, average time to close, first contact resolution, and customer satisfaction.

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A dataset for building the Einstein Discovery story contains 72 fields that are potentially relevant predictors.
Which approach is considered best practice to assess the top predictors in order to get to a meaningful and robust model?

• A.This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
• B.Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
• C.Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
• D.Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors that were omitted in the first run and assess their impact.

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