Which permission gives you view-only access to Analytics?

• A.Create and Edit Analytics Dashboard
• B.Manage Analytics
• C.Use Analytics
• D.None of above

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Why is it important to prepare the data in a CSV file before you bring it into Analytics?

• A.To remove column headers
• B.To make sure Analytics can set the field type correctly
• C.To add currency symbols to numeric fields
• D.To make sure the content is interesting

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What's a good way to see which required questions in the configuration wizard don't have default values?

• A.Click "Looks good, next" and look for questions highlighted in red
• B.Try each option in the dropdown one at a time
• C.Download the app and run a SAQL query on the JSON
• D.Answer only questions that involve custom objects

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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.Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
• C.Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
• 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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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.

Comment: *

Name: *

Email: *

Verification: *