Einstein Discovery is a tool that:

• A.Helps you hire the best data scientist for your business
• B.Is like having a personal data scientist on staff
• C.Understands your business better than you do
• D.Replaces your team of BI experts and data analysts

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An Einstein Discovery team created a model to maximize the margin of their sales opportunities. They want to deploy the model to the Opportunity object in order to predict the outcome of every newly created or updated Opportunity.
What are the steps to accomplish this?

• A.Create a trigger on Opportunity and use the Salesforce External Connector to get predictions from Einstein Discovery.
• B.Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.
• C.Create a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange.
• D.Create a trigger on Opportunity and use the REST API to get predictions from Einstein Discovery.

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Which of these standard deviations is for a curve that has values that are the most spread out away from the average?

• A.1
• B.8
• C.4
• D.16

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Refer to the graphic.

Which conclusion can be made regarding the strength of the model shown?

• A.The model is very strong. A GINI coefficient of .535 shows that this model is very effective.
• B.The strength of the model cannot be determined with the metrics shown.
• C.The model is very weak and doesn't provide useful predictions due to the low threshold.
• D.The model is pretty good; the accuracy rating of .7597 means we can predict both wins and losses at a fairly high rate.

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The Universal Containers company built three Einstein Discovery stories that they want to use in Salesforce to predict and maximize their revenue per customer. The stories are for every region where they have business:
EMEA, AMER, and APAC.
How can a consultant help them deploy the three Einstein models to Salesforce7

• A.Segment the account data per region and deploy the appropriate model for each segment.
• B.Segment the account data per region and deploy the same model to all segments.
• C.Deploy the same model to all accounts and set the region field as an actionable variable.
• D.Deploy the same model to all accounts and use an Apex trigger to call the appropriate prediction.

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