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Get All Salesforce Certified CRM Analytics and Einstein Discovery Consultant Exam Questions with Validated Answers
| 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: | March 7, 2026 |
| Related Certifications: | Salesforce Consultant, CRM Analytics and Einstein Discovery Consultant |
| Exam Tags: | Advanced Level Salesforce ConsultantsSalesforce CRM Specialists |
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Cloud Kicks (CK) has a dashboard that is still showing 10 former account managers. CK has since expanded, and some have moved from their former roles. CK wants the dashboard to reflect current account managers and stay up to date as new team members join.
How should the CRM Analytics developer accomplish this?
The Repeater Widget in CRM Analytics allows dynamic updates to be reflected on the dashboard automatically as data flows are updated. This means that as new account managers join or existing account managers change roles, the data in the widget will automatically reflect the latest information without manual updates. This is the most efficient way to keep the dashboard up-to-date with the current list of account managers.
Universal Containers has a dashboard for sales managers. They need the ability to visualize the number of Closed Won opportunities by month, quarter, or year, and then display the result in a single chart. A CRM Analytics consultant creates a custom query to display three values:
ClosedDate_month, ClosedDate_ quarter, and ClosedDate_year.
What should the consultant do next?
What are various ways to incorporate blank space in a CRM Analytics dashboard?
Incorporating blank space into a CRM Analytics dashboard can be achieved effectively through the following methods:
Cell Spacing Layout Property: This allows for consistent spacing between cells, helping to create a visually organized and less cluttered dashboard.
Increasing Dashboard Granularity via Columns: Using blank columns as a method to create deliberate space can help in visually separating different dashboard elements, enhancing readability and focus.
These methods ensure that the dashboard is not only functional but also aesthetically pleasing and easy to navigate.
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?
Universal Containers' CRM Analytics team is building a dashboard with two widgets, and the queries use different datasets.
1. List widget associated to the query "Type_2" and grouped by the dimension "Type" (multi-selection)
2. Donut chart widget associated to the query "Query_pie_3" and grouped by the dimension "Type"
The team wants any selection in the List widget to filter the Donut chart and vice vers
a. Users should be able to choose more than one Type (multi-selection).
What is the recommended way to accomplish the required filtering?
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