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Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. What is an appropriate response when a client is disappointed that Einstein Discovery only detected patterns that were already known?

A) Remind them that the technology is only as good as the data.
B) Highlight that Einstein reduces time to insight, which is much faster than learning from experience.
C) Recommend using a visualization tool, like Einstein Analytics, to uncover the details.
D) Advise them that the use case may not be accurate.

2. When you assign any Analytics permission set to users in your org, Salesforce auto-assigns the Analytics Platform permission set license to that user.

A) True
B) False

3. A Senior Sales Business Analyst asks for a dashboard that contains fiscal year product opportunities. Information is maintained in a spreadsheet which is comprehensive, but its contents often need to be explained. After sketching the dashboard, the consultant is ready to start building.
Which concept should be applied to this dashboard?

A) Use charts to help users ask questions, not illustrate a conclusion.
B) Limit widget actions and exploration so users will focus only on the high-level information.
C) Design the dashboard with the desktop in mind and use the same layout for mobile devices for consistency.
D) Use the different chart types to make the dashboard interesting and appealing.

4. What can you do in a dataset recipe?

A) Build a dashboard
B) Make a data chili
C) Extract external data into Analytics
D) Combine data from different datasets

5. 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 Salesforce?

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

Solutions: