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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. What is a benefit of introducing a second local connector?

A) Better performance by syncing data according to the refresh necessities
B) Better deployment management between sandboxes and production environment
C) Better maintenance by having a connector per recipe

2. In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in green; a value of false should result in the display of the word "No" in red.
How should the consultant accomplish this?

A) In the explorer's field panel, select the boolean fields and use the "edit values" option on the fields to change values and colors.
B) Create an XMD node in the recipe to change the label and color of the values in the fields.
C) Select the boolean fields in the explorer's field panel, select the boolean fields, then create a derived dimension.

3. The sole manager of a CRM Analytics app at Cloud Kicks is leaving the company.
What should the CRM Analytics consultant do to ensure the app remains accessible?

A) Deactivate the user and assign an active one to the app's manager role.
B) Wait for the CRM Analytics app to auto-assign an active user as its manager.
C) Assign an active user the app's manager role before the previous manager is deactivated.

4. CRM Analytics team plans to enable data sync.
Which limit specific to data syne should the team consider before enabling the feature because it may impact existing jobs?

A) Maximum number of objects that can be enabled for data sync
B) Maximum number of data sync jobs cannot exceed the limit
C) Maximum number of Full Sync connection mode enabled

5. Universal Containers (UC) is rolling out CRM Analytics to its field sales that include dashboards withorder data from an external source.
UC has a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy. In addition, the order data has a reference to a Salesforce opportunity.
An individual sales rep should be able to view all orders that they own or as part of the account team or opportunity team. The sales manager should be able to view all orders for the entire sales team. Similarly, the VP of sales should be able to view orders for everyone who rolls up in that hierarchy.
The dataset has a field called Ownerld which represents the order owner.
Given this information, how should a CRM Analytics consultant implement the above requirements?

A) As part of the recipe, use a formula on the Roleid fildto create an attribute called 'ParentRolelDs' on the dataset, and apply the following security predicate: 'ParentRolelDs' ==''$UserRoleId'' || Owned\ ==
'$User,id\\,
B) As part of the recipe, use a multi row formula on the Roleld field to create an attribute called
'ParentRoleIDs' on the dataset, and apply the following security predicate:"$User.UserRoleld" ||
'Ownerld' == "$User.Id".
C) As part of the recipe, use the flatten operation on the role hierarchy, create a multi-value attribute called
'ParentRoleIDs' on the dataset, and apply the following security predicate: 'ParentRoleIDs' == "$User.
UserRoleld" || 'TeamMember.Id' '$User, Id" || 'Ownerld' == "$User.Id".

Solutions: