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: August 22, 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

What is the purpose of the CRM Analytics Dashboard Inspector?

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Correct Answer: C

The CRM Analytics Dashboard Inspector is a powerful tool used to troubleshoot and optimize dashboards. Its primary function is to display the underlying SAQL (Salesforce Analytics Query Language) query executed for each widget. It helps users see the final query that is run and the corresponding results. This feature allows CRM Analytics consultants and developers to diagnose issues, optimize performance, and understand how data is being processed in the dashboard.

While the Inspector helps view execution times and identify bottlenecks, it does not automatically resolve performance issues (which is why option B is incorrect). It simply provides visibility into query performance and execution details, allowing the user to make manual optimizations.


Question No. 2

Exhibit.

Universal Containers has a dashboard for sales managers to visualize the Year Over Year (YoY) growth of their customers. The formula used is:

YoY = [(This Year --- Last Year) / Last Year] %

Based on the graphic, when there is not an account in the Last Year column, the YoY Growth shows null results. The sales managers want to replace it with 100% value.

What is the correct function to use?

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Correct Answer: B

Question No. 3

Universal Containers asks a CRM Analytics consultant to review the performance of its local data sync.

After removing unused objects and fields from connected data, what else should the consultant do to improve performance of the data sync?

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Correct Answer: A

To improve the performance of local data sync in Universal Containers, evaluating the connection mode for each connected object is a practical approach. Here's the rationale:

Optimization of Resources: Different connection modes (e.g., Full Sync, Incremental Sync) use different amounts of resources. Choosing the right mode for each object based on how frequently its data changes can optimize the sync process and reduce load times.

Efficient Data Handling: By tailoring the connection mode to the needs of specific data objects, the overall efficiency of the data sync process is improved, leading to faster refresh rates and more timely data availability.

Cost and Performance Balance: Evaluating and selecting the appropriate connection mode can also help balance performance needs with cost constraints, as some modes may consume more compute resources than others.


Question No. 4

Which statement best describes how to ensure CRM Analytics dashboards are easily used across both desktop and mobile devices?

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Correct Answer: C

To ensure that CRM Analytics dashboards are optimally usable on both desktop and mobile devices, creating multiple layouts tailored to each device type is crucial. Here's why Option C is the best approach:

Device-Specific Layouts: By creating specific layouts for each device type, you ensure that the dashboard contents are presented in a manner best suited to the screen size and interaction model of the device.

Layout Selectors: These are used to automatically display the appropriate layout based on the device accessing the dashboard, enhancing user experience without manual intervention.

Widget Customization: Resizing or hiding certain widgets for specific device layouts ensures that the dashboard remains clean, uncluttered, and easy to navigate, regardless of the device used.


Question No. 5

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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Correct Answer: C

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