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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. Universal Containers has a well-defined role hierarchy in Salesforce where everyone is assigned to an appropriate node. The accounts within their instance are categorized by their demography.
An individual sales rep should be able to view all accounts that they own. In addition, sales reps should be able to see any accounts where the value of the account demography matches the demography defined on their user record. A user could have more than one demography defined on their user record.
To meet this requirement, the CRM Analytics consultant has set up a security predicate of the existing
'Account' dataset as follows:

This, however, does not seem to be working as expected.
What is causing the issue?

A) The Sales Rep is not provided access permission on custom field Demographic__c on the User object.
B) The security predicate needs to be updated as 'Ownerld' == "sUser.id" || 'Demography' = "$User.
Demographic__c'.
C) The Analytics Security User is not provided access permission on custom field Demographic_c on the User object.

2. A CRM Analytics consultant has been asked to add a custom object to existing recipe. When trying to locate the object, the consultant can see only Direct Data and NOT the SFDC Local data sync.
How should the consultant resolve this?

A) Clone the recipe, add the new object to the recipe, and run the recipe.
B) Turn on data syne for the object, run the sync, and then add to recipe.
C) Create a new data sync connection, run the sync, and add to recipe.

3. In Data Alerts, a field named Region is 96.5% North America. The consultant believes that this is an important field since the majority of sales is in the North American market.
What is the appropriate action?

A) Append more rows of data with "other values of Region" to balance the dataset properly.
B) Understand if client should only "focus on North America" or drop the field, as it does not have valuable information.
C) Choose the recommended action "keep only North America" and exclude all of the other rows.

4. Cloud Kicks (CK) wants to use CRM Analytics to analyze trends of its sales pipeline in order to accelerate the company's sales process. To do so, CK needs to know the average time an opportunity spends in each stage. The data can be found in the Opportunity History object, but the value is not pre- calculated in Salesforce, so a consultant recommends using a recipe to calculate it.
How should the consultant use a recipe to calculate the average time an opportunity spends in each stage?

A) Flatten transformation with offset expressions to calculate the duration
B) Custom transformation with a multiple row formula to calculate the duration
C) An aggregate transformation with offset parameter to calculate the duration

5. A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included.
Which action should the CRM Analytics consultant take?

A) Split the analysis into multiple models with each having fewer products.
B) Use SKU numbers rather than product names to increase clarity.
C) Run the model using the default variables in the Product object.

Solutions: