Refer to the graphic.

Einstein found a recommendation to improve the story: apparently there are two variables that behave the same. Given there is no additional information, what is the correct action?

• A.Retain Amount; not knowing the size of a deal makes it hard to predict if will be won.
• B.Retain Promotion; it is an actionable variable and without it, we cannot recommend prescriptive actions.
• C.Do nothing; they appear to be similar, but there might be differences from the business perspective.
• D.Cancel this story and redefine the dataset.

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

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Why would you use the Actions menu in a chart?

• A.To rearrange widgets in dashboards
• B.To expand the time period shown in a dashboard
• C.To post to Chatter
• D.To create workout plan for you and your team

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An Einstein Consultant receives a new project from a client that wants to implement Einstein Analytics. They do not currently have Einstein Analytics, but want guidance around how to ensure that their users have correct access.
They have 1000 users with a small team of three people who will build datasets and dashboards. An additional 15 people should be able to create dashboards. The remaining users should only be able to view dashboards.
Which recommendation should the consultant give the client?

• A.Assign "Einstein Analytics Explorer" licenses to users that should only view the dashboard, and assign "Einstein Analytics Developer" licenses to users that should be able to create datasets and dashboards.
• B.Assign the app permissions "viewer/' "editor," and "manager" to the three types of roles defined.
• C.Create and assign three new Salesforce profiles according to the three types of roles defined.
• D.Create and assign Salesforce permission sets according to the three types of roles defined.

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A consultant built a very useful Einstein Analytics app for Sales Operations, and they want to share its contents with the rest of Global Sales. However, they do not want to add everyone in Sales to their app. The consultant recommends extending the Sales Operations app and distributing it as an Einstein Analytics template app, but needs to locate specific information to get started.

Given the code statement above, which endpoint should it be posted to?

• A./services/data/v . /wave/apps
• B./services/data/v . /analytics/wizard
• C./services/data/v . /wave/templates
• D./services/data/v . /analytics/projects

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