最新のTableau-CRM-Einstein-Discovery-Consultant問題集で試験を準備する

Salesforce Tableau-CRM-Einstein-Discovery-Consultant 試験概要:

Salesforce Tableau-CRM-Einstein-Discovery-Consultant 試験シラバストピック:

Salesforce Tableau CRM Einstein Discovery Consultant 認定 Tableau-CRM-Einstein-Discovery-Consultant 試験問題：

問題 #1

Which Einstein Analytics asset or assets are created when using an App Template to create an app?

A. The app, dataflows and datasets, and dashboards
B. An empty app
C. The app, dataflows and datasets, and users
D. The app, dataflows and datasets, dashboards, and permission sets

問題 #2

A consultant built a Tableau CRM dashboard for a shipping company. The consultant enabled data sync (replication) to increase the speed to datasets refreshing.
How often will the data on the dashboard be refreshed?

A. When recipe runs to completion, and then Data Sync runs to completion.
B. Each time a user opens the dashboard
C. When the Data Sync runs to completion, and then recipe runs to completion.
D. When the dashboard viewer clicks the Refresh button.

問題 #3

When you assign any Analytics permission set to users in your org, Salesforce auto-assigns the Analytics Platform permission set license to that user.

A. True
B. False

問題 #4

Which three statements are true regarding sharing inheritance? Choose 3 answers

A. A dataset using sharing must also have a security predicate defined.
B. Sharing inheritance supports a foreign key for enforcing security.
C. When sharing inheritance is enabled, security predicates are ignored.
D. If a user can see more than 3,000 records on the object in Salesforce, but the user does not have the "View All Data" permission, sharing inheritance is not used. The backup security predicate takes effect. This limitation does not apply to the Opportunity object.
E. Sharing inheritance supports Account, Campaign, Case, Contact, Opportunity, Lead, Order, User, and custom objects. If you use other objects, such as Idea or Site, you must use security predicates for those objects.

問題 #5

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' == "$User.UserRoleId" || TeamMember.Id' == "$User. Id" || 'Ownerld' == "SUser.Id".
B. 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' == "$User.UserRoleId" && 'Ownerld' == "SUser.Id".
C. As part of the dataflow, use computeExpression on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".
D. As part of the dataflow, use computeRelative on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".

解説：