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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

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

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

2. A consultant is preparing a dataset to predict customer lifetime value and is collecting data from a questionnaire that asks for demographic information. A very small number of respondents fill in the Income box, but the consultant thinks that it is an informative column even though it only represents 1% of respondents.
What should the consultant do?

A) Fill in the missing data with an average of all incomes.
B) Apply the predict missing values transformation in recipe nodes.
C) Drop the field as it will be difficult to get future respondents.

3. 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".

4. ACRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice that none of the fields used in the story have a correlation value greater than
4%. The client is now concerned that the model
may not be good enough to deploy.
Which action should the consultant take?

A) A Identify additional data that may have a stronger relationship with the outcome variable.
B) Edit the model accuracy settings and rerun it to evaluate the correlation.
C) Use the appropriate algorithm and update the model.

5. The administrator at Cloud Kicks has been asked to sync data from an external object created in Salesforce into CRM Analytics.
What should the administrator keep in mind?

A) Salesforce external objects are unsupported in RM Analytics recipes digest transformations.
B) Loading the external object data into CRM Analytics will help joinobjects in the recipes.
C) Using a custom connector to connect to the external objects will load it into CRM Analytics.

Solutions: