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

2. In a story investigating margin, large variations between product groups are dominating the story. Which action might an Einstein Consultant take to resolve this?

A) Normalize the margin by product group.
B) Run separate stories for each region.
C) Add more data to the dataset.
D) Eliminate extreme values in the dataset.

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

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

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

5. Exhibit:

A shipping company created a dataset. "Bookll," containing budget per region per month for the first six months of 2018. The dataset is shown in the graphic. Now, they want to create a lens showing the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.
How can an Einstein Consultant help this company build this lens?

A) Use a SAQL query leveraging the "fill" statement with a "partition" parameter.
B) Use a "Compare Table" and use the "Show summary" option.
C) Use a SAQL query to create fake rows for any data that is missing data from the dataset.
D) Use a "Compare Table" and add a column leveraging the "Running Total" function.

Solutions: