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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. A CRM Analytics consultant is building a dashboard for Cloud Kicks that is embedded in a separate Lightning page called "Management Dashboard" using a CRM Analytics Dashboard Component. The system administrator and the contract manager should both have access. The system administrator is able to see the dashboard and the data, but the contract manager sees a blank Lightning page.
What is causing the issue?

A) The consultant has set up a dashboard filter condition for data to be visible to system administrators only.
B) The consultant has set up component visibility for the dashboard for system administrators only.
C) The consultant has set up/enabled a 'Hide on Error' feature for the dashboard while embedding it.

2. consultant is tasked with creating an opportunity dataset for a new analytics app. One requirement is to make sure users only see the opportunities they have access to in Salesforce. Opportunity records are private but shared using the role hierarchy. The consultant runs the sharing inheritance coverage assessment and finds that the VP of sales is not covered by the sharing inheritance. The consultant decides to proceed with using sharing inheritance for the dataset.
What else does the consultant need to do?

A) Set the organization-wide default for the Opportunity object to Public Read/Write.
B) Flatten the role hierarchy in the recipe and set a backup securitypredicate based on opportunityowner and role path.
C) Create a manual sharing rule to extend access to the VP of sales from the opportunity record.

3. Universal Containers (UC) builds three Einstein Discovery models in Salesforce to predict and maximize its revenue per customer. The modelsare for every region UC has a business: EMEA, AMER, and APAC.
How should a consultant help UC deploy the three Einstein models to Salesforce?

A) Segment the account data per region and deploy the appropriate model for each segment.
B) Filter the account data per region and deploy the same model to all segments.
C) Deploy the same mode! to all accounts and use an Apex trigger to segment the prediction.

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

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

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

Solutions: