Free Access Salesforce.CRM-Analytics-and-Einstein-Discovery-Consultant.v2024-10-25.q124 Practice Test (Page 18)

Question 81

The Universal Containers company uses Einstein Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users for the same department have the same role and need to have access to the same dashboards. Dashboards for different departments use some common datasets with the same row-level security.
How can an Einstein Consultant address this need?

A.Create one application for each department, put common datasets in the shared app, and use profiles to share applications.

B.Create one application for each department and use roles to share applications.

C.Create one application for each department, put common datasets in the shared app, and use permission sets to share applications.

D.Create one application for each department, put common datasets in the shared app, and use roles to share applications.

Question 82

What are two benefits of designing using the "Progressive Disclosure" principle? Choose 2 answers

A.improved ease of use for end users

B.Discounted EA licenses when growth is achieved

C.Automatic conditional formatting

D.Better dashboard performance

Question 83

An CRM Analytics consultant creates a model to maximize the satisfaction of cases. They want to deploy the mode! and further use the model and predictions in an existing automated business process powered by Salesforce Flow.
What is the most efficient way to accomplish this?

A.Use the Einstein Discovery flow action to make a prediction with the flow.

B.Write an Apex class with Einstein Discovery Predictions and append them to process.

C.Create a trigger on Case object and use REST APIs to append the predictions into the business process.

Question 84

When organizing information in an Einstein Analytics dashboard, what does the "Progressive Disclosure' design principle mean'

A.Only provide the user with the level of detail they need to see, with the option to drill down deeper into more details.

B.Intentionally omit specific details so that users can do ad-hoc exploration if needed for root-cause analysis.

C.Utilize the latest templates for the most modern look and feel.

D.Implement strict security predicates to minimize the amount of information displayed to users.

Question 85

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

A.To make sure the content is interesting

B.To make sure Analytics can set the field type correctly

C.To remove column headers

D.To add currency symbols to numeric fields

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