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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. A new picklist value was added for the Category field on the Account object. This field is already added as part of the Account object data sync and the respective recipe that uses this field.
The CRM Analytics team reports that when they start the recipe it runs successfully with no errors or warnings, but theyare unable to See this new valueson their existing dashboards.
What is the oridi4 of this issue?

A) The user who runs the dataflow/recipe does not have access to the field.
B) There are no records in Salesforce with this new plicklist value.
C) The Integration User profile does not have access to the field.

2. An CRM Analytics consultant creates a model to maximize the satisfaction of cases. They want to deploy the mode! and further use the model and predictions in an existing automated business process powered by Salesforce Flow.
What is the most efficient way to accomplish this?

A) Write an Apex class with Einstein Discovery Predictions and append them to process.
B) Use the Einstein Discovery flow action to make a prediction with the flow.
C) Create a trigger on Case objectand use REST APIs to append the predictions intothe business process.

3. What is the purpose of the CRM Analytics Dashboard Inspector?

A) To automatically remove bottlenecks to make queries run faster.
B) To view the total time required to run all queries.
C) To see the final query for each widget along with the results.

4. The CRM Analytics consultant at Universal Containers notices that some users have access to sensitive data and dashboards they should not have access to in the Manager's app.
How should the consultant fix the problem?

A) Apply data encryption using Salesforce Shield.
B) Develop separate dashboards and datasets and put them in the Manager's app.
C) Create separate apps, datasets, and dashboards, and share them with the proper users.

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 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".
B) 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' == "$User.Id".
C) As part of the recipe, use a formula on the Roleid fildto create an attribute called 'ParentRolelDs' on the dataset, and apply the following security predicate: 'ParentRolelDs' ==''$UserRoleId'' || Owned\ ==
'$User,id\\,

Solutions: