Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Dumps

Get All Salesforce Certified CRM Analytics and Einstein Discovery Consultant Exam Questions with Validated Answers

CRM-Analytics-and-Einstein-Discovery-Consultant Pack
Vendor: Salesforce
Exam Code: CRM-Analytics-and-Einstein-Discovery-Consultant
Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant
Exam Questions: 115
Last Updated: February 26, 2026
Related Certifications: Salesforce Consultant, CRM Analytics and Einstein Discovery Consultant
Exam Tags: Advanced Level Salesforce ConsultantsSalesforce CRM Specialists
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Free Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Actual Questions

Question No. 1

Universal Containers' sales team is looking to build a dashboard that shows the total revenue from their top 10 accounts (based on revenue) and make it dynamic with the filters of the dashboard.

Which action is required to accomplish this?

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Correct Answer: A

To create a dashboard showing the top 10 accounts by revenue dynamically, the best approach is to create a query that sorts the accounts in descending order by revenue and limits the results to the top 10. This query can then be used as the data source for the widget, ensuring that it dynamically adjusts based on the filters applied to the dashboard.

This method efficiently handles the task because sorting by revenue and limiting the results to 10 ensures that only the top accounts are displayed, and it remains dynamic with dashboard filters.


Question No. 2

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?

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Correct Answer: A

The issue with the security predicate not functioning as expected likely stems from a permissions issue related to the custom field Demographic__c on the User object. Here's a detailed explanation:

Field-Level Security: If the sales reps do not have access to the Demographic__c field, the security predicate which references this field cannot execute properly as the system cannot evaluate the predicate without accessing the field.

Permission Settings: Ensuring that the sales reps have the necessary permissions to view and use the Demographic__c field is crucial for the security predicate to function correctly.

Data Visibility: The security model in CRM Analytics relies heavily on the underlying data permissions in Salesforce. If these permissions are not correctly configured, the expected data visibility through CRM Analytics will not be achieved.


Question No. 3

CRM Analytics users at Cloud Kicks are granted access to an app with specific dashboards. When trying to download a specific widget, they are unable to do so.

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Correct Answer: C

In CRM Analytics, even if users are granted access to view an app and its dashboards, their ability to download data is controlled by permissions assigned via permission sets. Specifically, users need the 'Download Data' permission to download data from widgets or dashboards. If this permission is missing from their permission set, they will be unable to download the specific widget, even though they can view the data.


Question No. 4

A system administrator and a CRM Analytics consultant are working together on deploying arecipe/dataflow and a dataset to another org. Prior to this deployment, a package was deployed with all the custom fields used in the dataflow and dataset.

While running the recipe/dataflow in the target environment, the consultant encounters multiple errors related to these custom fields.

How should this be resolved?

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Correct Answer: B

Question No. 5

What is a benefit of introducing a second local connector?

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Correct Answer: C

Introducing a second local connector in CRM Analytics can improve performance by enabling more granular control over data syncs. By having a separate connector, different datasets or recipes can be synchronized independently based on specific refresh needs, reducing load and improving overall performance. This approach helps optimize data flow operations, especially in large-scale deployments with varying data refresh requirements.


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