An insurance company has many Einstein Analytics dashboards that show the influence of weather, such as atmospheric temperature, on customer cases. A service agent commented that it is sometimes difficult to determine, by looking at a dashboard, whether the temperature data is reported in degrees Fahrenheit or in degrees Celsius.
How can a dashboard designer ensure the temperature data is easier to interpret on the dashboards?
A. Add a text widget to the dashboard to indicate Fahrenheit or Celsius.
B. Use the XMD node in the dataflow to customize the number format of the field.
C. Customize the number format in the number widget properties of the dashboard.
D. In Explorer, go to the Fields menu and then customize the number format of the measure.
An Einstein Consultant is implementing encryption for a customer.
Which two statements about Einstein Analytics Encryption are true? Choose 2 answers
A. When Einstein Analytics Encryption is enabled, all newly registered datasets are encrypted at rest.
B. By default, the same keys are used to encrypt data in Einstein Analytics as are used to encrypt data in Salesforce objects.
C. The customer's org must have a Shield Platform Encryption tenant secret.
D. Bring Your Own Key is not supported.
A large company is rolling out Einstein Analytics to their field sales. They have a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy.
An individual Sales rep should be able to view all opportunities that she/he owns or as part of the account team or opportunity team. The Sales Manager should be able to view all opportunities for the entire Sales team. Similarly, the Sales Vice President should be able to view opportunities for everyone who rolls up in that hierarchy.
The opportunity dataset has a field called 'Ownerld' which represents the opportunity owner.
Given this information, how can an Einstein Consultant implement the above requirements?
A. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" andand 'Ownerld' == "SUser.Id".
B. As part of the dataflow, use computeExpression on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".
C. As part of the dataflow, use computeRelative on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".
D. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || TeamMember.Id' == "$User. Id" || 'Ownerld' == "SUser.Id".
Max story creations per org per month A. 1000 (can purchase more)
B. 500 (can purchase more)
C. 200 (can purchase more)
D. 500
What does XMD stand for?
A. Configuring unsupported fields
B. Lenses Dataset Fields
C. Extended Metadata
D. Create a JSON
A client has a dataset comprised of Opportunity data and Opportunity Line level data. The client wants to use this dataset with Einstein Discovery to understand the Opportunity win rate.
What must be done to the dataset to achieve this goal?
A. Select the isWon = True outcome variable and generate the story.
B. Filter to only look at isWon = True records to avoid skewing the results.
C. Click Create Story and Einstein will take care of the rest.
D. Change the grain by removing the line level detail as it will skew the win rate.
About what does the configuration wizard ask you questions about how you measure?
A. Case duration
B. Customer geography
C. Customer satisfaction
D. Case resolution
E. All of the above
How can you restrict access to Analytics data at the row level?
A. Manually add a flag to each row to prevent access.
B. Use a security predicate to filter which rows are returned.
C. Use subtle thought control.
D. Remove restricted rows from the JSON file.
What do Analytics apps do?
A. Let you add new types of charts to Salesforce
B. Alert you when you need a visa for an upcoming trip
C. Use ready-made dashboards to tell easy-to-follow stories about your data
D. Let you create configuration wizards to make Analytics setup easier
A consultant is working with a credit card company that needs help with ongoing fraudulent transactions. The company provides a representative sample dataset for the consultant to analyze in Einstein Discovery. The story's initial assessment shows that a third-party payment app is the source of these fraudulent transactions. However, the company rejects this assessment outcome, stating they have not had a partnership with this payment app long enough for it to be a concern.
What is the recommended next step to improve the story outcome?
A. Make adjustments to the story to better demonstrate that the third-party payment app is the culprit.
B. Use the credit card company's domain knowledge and exclude the third-party payment app from the story.
C. Explain to the company that the story has returned unbiased results and the initial assessment is accurate.
D. Ask the credit card company for a more comprehensive dataset to analyze.
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