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Home Salesforce Certified Einstein Analytics and Discovery Consultant

Salesforce Certified Einstein Analytics and Discovery Consultant Exam Practice Questions (P. 3)

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Question #11
Which widget property allows a consultant to restrict the view to a domain bounded by the values entered?
  1. A
    Add Custom Range
  2. B
    Add Filter
  3. C
    Filter by Range
  4. D
    Add Custom Domain

Correct Answer:
D

Question #12
Which statement best describes how to ensure Einstein Analytics dashboards are easily used across both desktop and mobile devices?
  1. A
    Create multiple layouts, and reorder all the widgets so that they fit nicely within the new default width
  2. B
    Create a single layout and reorder all the widgets so that they fit nicely when viewing on either device
  3. C
    Create a single layout and allow Einstein Analytics to automatically organize dashboard contents to be optimal for the device type
  4. D
    Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets as necessary to ensure the content is appropriate for the device screen size.

Correct Answer:
D

Question #13
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 ‘OwnerId’ which represents the opportunity owner.
Given this information, how can an Einstein Consultant implement the above requirements?
  1. A
    As part of the dataflow, use computeRelative on the RoleId field to create an attribute called ‘ParentRoleIDs’ on the opportunity dataset and apply following security predicate: ‘ParentRoleIDs’ = = “$User.UserRoleId” || ‘OwnerId’ = = “$User.Id”.
  2. B
    As part of the dataflow, use computeExpression on the RoleId field to create an attribute called ‘ParentRoleIDs’ on the opportunity dataset and apply following security predicate: ‘ParentRoleIDs’ = = “$User.UserRoleId” || ‘OwnerId’ = = “$User.Id”.
  3. C
    As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called ‘ParentRoleIDs’ on the opportunity dataset and apply following security predicate: ‘ParentRoleIDs’ = = “$User.UserRoleId” && ‘OwnerId’ = = “$User.Id”.
  4. D
    As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called ‘ParentRoleIDs’ on the opportunity dataset and apply following security predicate: ‘ParentRoleIDs’ = = “$User.UserRoleId” || ‘TeamMember.Id’ = = “User.Id” || ‘OwnerId’ = = “$User.Id”.

Correct Answer:
C

Question #14
The Universal Containers company used Einstein Analytics to create two datasets:
Dataset A: contains a list of activities with an “activityID” dimension and a “userID” dimension
Dataset B: contains a list of users with a “userID” dimension
The team wants to delete from Dataset A all activities related to users in Dataset B.
How can an Einstein Consultant help them achieve this?
  1. A
    Use an external ETL tool to extract both datasets and delete records
  2. B
    Use a combination of dataflow transformations: “augment” and “filter”
  3. C
    Use the recipe operation “delete” and set “userID” as the deletion ID
  4. D
    Use the dataflow transformation “delete” and set “userID” as the deletion ID

Correct Answer:
B

Question #15
The edgemart transformation gives the dataflow access to an existing, registered dataset that can contain Salesforce data, external data, or a combination of both.
Where is an edgemart transformation specified?
  1. A
    Recipes Editor
  2. B
    Dataflow Editor
  3. C
    Step Editor
  4. D
    Settings

Correct Answer:
B

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