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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q116-Q121):

NEW QUESTION # 116
At Universal Containers, a dashboard is built to track sales metrics. The Opportunity amount field has conditional formatting added - it turns green for closed won and red for closed lost.
How should a CRM Analytics consultant enhance the dashboard design to become more accessible to users with color vision challenges?

A. Make the numbers bold to emphasize whether it is won or lost.
B. Add up and down arrow next to the KPIs to make it more understandable.
C. Position Alt Texts next to the KPIs to make itmore understandable.

Answer: B

Explanation:
Enhancing accessibility, especially for users with color vision challenges, is critical. Adding up and down arrows next to the KPIs:
* Visual Cues: Provides a non-color dependent method to indicate whether metrics are positive (up arrow) or negative (down arrow).
* Accessibility: Improves understanding for users with color vision deficiencies, ensuring that the dashboard is inclusive.
* User Experience: Enhances the overall usability of the dashboard by making the interpretation of data straightforward and less reliant on color.

NEW QUESTION # 117
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 versa. Users should be able to choose more than one Type (multi-selection).
What is the recommended way to accomplish the required filtering?

A. Use "Connect Data Sources" to create a mapping of the two fields from the two datasets.
B. Set up a result and selection based interaction for each query.
C. Create a selection based Interaction and apply It to the query of "Query ple 3".

Answer: B

NEW QUESTION # 118
A CRM Analytics consultant has prepared a CSV file to be uploaded to CRM Analytics. By mistake, one of the column headers is modified as random non-alphanumeric characters "*&**(&*(%", which went unnoticed prior to uploading the file.
What is the expected behavior of the uploaded CSV column?

A. The column header Is set to *&**(&*(%.
B. The column header is auto-updated to "Column" + column number.
C. The columnheaderis prefixed with "X" upon upload.

Answer: C

Explanation:
When uploading CSV files into CRM Analytics, column headers must follow certain formatting rules.
Headers containing non-alphanumeric characters, such as "&**(&(%", will automatically be adjusted.
Specifically, if the column header starts with non-alphanumeric characters or contains such characters, CRM Analytics will prefix the header with "X" to ensure compatibility with internal naming conventions. This behavior ensures that the column can be referenced in the platform without causing errors or conflicts.

NEW QUESTION # 119
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?

A. Clone the recipe, add the new object to the recipe, and run the recipe.
B. Create a new data sync connection, run the sync, and add to recipe.
C. Turn on data syne for the object, run the sync, and then add to recipe.

Answer: C

NEW QUESTION # 120
CRM Analytics team is asked to build a Service Analytics dashboard for the service agents.
What are the main "Deep Design Thinking" principles the team should keep in mind during the discovery sessions?

A. Priority - Logic - Level of Granularity
B. Clarity - Efficiency - Consistency
C. Purpose - Structure - Surface

Answer: C

NEW QUESTION # 121
......

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100% Pass Quiz Authoritative Analytics-Con-201 - Reliable Salesforce Certified CRM Analytics and Einstein Discovery Consultant Test Topics

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q116-Q121):

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