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Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant - Salesforce Certified CRM Analytics and Einstein Discovery Consultant Exam (SP25)

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Total 115 questions

Cloud Kicks has a dashboard that displays accounts and opportunities data in a table that contains actions to open the records in Salesforce. Since the company has allowed several accounts to be

created with the same names, when users try to perform actions, they are prompted with only a record ID to select, leaving the users confused and unable to act.

How should the CRM Analytics consultant solve this problem?

A.

Insert more fields in the dataset action "Display Fields" so the users know which account they are acting on.

B.

Discuss with the stakeholders If the action Is really necessary for the table.

C.

Ask the admin to start applying duplicate rules based on the account's Name field.

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.

A team of CRM Analytics developers has been working on an existing recipe to add new derived fields. The edited version has been failing ever since, and management is requesting that the dashboard show refreshed data while they work on the edits.

How can the developers add new fields while keeping the dataset refreshed?

A.

A recipe for the new fields and when that is successful, add it to the existing recipe as a join node.

B.

Clone the existing recipe to add fields and roll back the original recipe to the last working version.

C.

Refresh the dataset after working hours to avoid the edited version from failing.

Universal Containers (UC) recently activated data sync in the CRM Analytics data manager. After running the sync, UC notices that the aggregate sum of a field within the company's dataset is different

than what they manually calculated by summing the same data in the Salesforce object.

What is causing the issue with the newly synced data?

A.

Differences involving flow-updated fields

B.

Differences involving formula fields

C.

Differences involving trigger-updated fields