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Salesforce Updated Tableau-CRM-and-Einstein-Discovery-Consultant Exam Questions and Answers by kaia

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Salesforce Tableau-CRM-and-Einstein-Discovery-Consultant Exam Overview :

Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant (SU24)
Exam Code: Tableau-CRM-and-Einstein-Discovery-Consultant Dumps
Vendor: Salesforce Certification: Salesforce Consultant
Questions: 239 Q&A's Shared By: kaia
Question 28

A Tableau CRM consultant is asked to add a new SalesTax field to a Product Sales dataset. The formula to calculate SalesTax is (SubTotal'CountyTax).

Which node should the consultant use in a recipe to calculate and insert SalesTax to the dataset?

Options:

A.

Update

B.

Transform

C.

Append

D.

join

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Question 29

What is an appropriate response when a client is disappointed that Einstein Discovery only detected patterns that were already known?

Options:

A.

Remind them that the technology is only as good as the data.

B.

Advise them that the use case may not be accurate.

C.

Highlight that Einstein reduces time to insight, which is much faster than learning from experience.

D.

Recommend using a visualization tool, like Einstein Analytics, to uncover the details.

Discussion
Question 30

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?

Options:

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 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".

Discussion
Question 31

How can you restrict access to Analytics data at the row level?

Options:

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.

Discussion
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