[2025] Updated Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Dumps - Tips For Better Preparation

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q76-Q81):

NEW QUESTION # 76
What is another name for the type of insight that examines how one variable explains variation of the outcome variable?

A. First-order analysis
B. Object-oriented analysis
C. Spectrum analysis
D. Second-order analysis
E. Third-order analysis

Answer: A

NEW QUESTION # 77
After getting approval for the dashboard layout design for a desktop, the CRM Analytics consultant is ready to start the design process for a mobile layout.
Which consideration should the consultant keep in mind?

A. If no layouts are eligible for the mobile device, an error message will be displayed but the dashboard will still be visible on the desktop without errors.
B. Create a layout with the property "phone" to show the dashboard on the mobile app similar to creating a layout with the property "dashboard" to show on the desktop for the same dashboard,
C. "Tablet" or "Phone" layout-where only minWidth and maxWidth have been set-may be displayed on a desktop if the dashboard is embedded in a small frame, or if the browser window is small.

Answer: C

Explanation:
When designing for different device types in CRM Analytics, particularly for mobile layouts, it's crucial to consider how the layout will respond not just on mobile devices but also under various display conditions on desktops. Here's the rationale for focusing on this consideration:
Responsiveness: Layouts designated for tablets or phones may also be triggered on desktop environments if conditions such as browser window size or embedded frame dimensions mimic those typical of smaller devices.
Design Flexibility: Understanding this behavior is essential for creating versatile dashboards that maintain functionality and visual integrity across all potential viewing scenarios.
User Experience: Ensuring that the dashboard behaves predictably across device types and sizes enhances user engagement and effectiveness, as it provides a consistent experience regardless of the access point.
This approach ensures that the dashboard remains functional and accessible no matter how or where it is being viewed, aligning with best practices for responsive and adaptive design in modern analytics environments.

NEW QUESTION # 78
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?

A. Create a query and sort descending by revenue and limit it to 10 results.
B. Create a query with a results based interaction as a filter using the limit query to pass in the 10 Account IDs.
C. Create 2 query with a selection based interaction asa filter using the limit query to pass in the 10 Account IDs.

Answer: A

Explanation:
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.

NEW QUESTION # 79
The Tableau CRM team at a company creates three recipes.
1) myRecipeOne: this recipe takes 2 hours to run.
2) mvRedpeTwo: this recipe takes 1 hour and 30 minutes to run.
3) myRecipeThree: this recipe takes 1 minute and 30
seconds to run.
If all three recipes run, how many count towards the 24 hour rolling recipe run limit.

A. 0
B. 1
C. 2
D. 3

Answer: D

NEW QUESTION # 80
When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5

A. No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
B. No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.
C. Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.
D. yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.

Answer: B

NEW QUESTION # 81
......

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[2025] Updated Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Dumps - Tips For Better Preparation

CRM-Analytics-and-Einstein-Discovery-Consultant Study Materials: Salesforce Certified CRM Analytics and Einstein Discovery Consultant & CRM-Analytics-and-Einstein-Discovery-Consultant Certification Training

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q76-Q81):

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