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Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

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

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

2. A consultant is creating a Churn Prediction model to identify customers who are not likely to renew their contract.
What is the appropriate action to take?

A) Replace nulls in the Churn Reason filed as 'No reason given'',
B) Exclude the Churn reason field from the dataset.
C) Exclude active customers (customer who have not churned) from the training dataset since their Churned) from the training dataset since their Churn Reason field are nulls.
D) For the Churn Reason field, enable the ''This variable contains sensitive data'' box because it may contain sensitive customer behavior.

3. Before using bindings, you can try using facets to specify interactions between widgets.

A) True
B) False

4. 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

5. A consultant is asked to create a dashboard for sales to see the forecasted sales per product family. After gathering the requirements, the consultant decides to leverage the timeseries SAQL statement to predict sales.
Which two actions must be performed when writing the SAQL query?
Choose 2 answers

A) Investigate which prediction model is best for the data available.
B) Include the fill SAQL statement to fill any missing dates.
C) Determine if the timeseries required parameter, prediction interval, should be 80 or 95.
D) Validate that there is enough data in the dataset to make a good prediction.

Solutions: