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Exam (elaborations)

EINSTEIN ANALYTICS CERTIFICATION EXAM Q&A

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EINSTEIN ANALYTICS CERTIFICATION EXAM Q&A

Institution
Certified Analytics Professional
Course
Certified Analytics Professional

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EINSTEIN ANALYTICS CERTIFICATION
EXAM Q&A
Viewer - Answer--view dashboards, lenses and datasets in the app
-see who has access to the app
-save contents of the app to another app that the user has Editor or Manager access
to

Editor - Answer--view dashboards, lenses and datasets in the app
-see who has access to the app
-save contents of the app to another app that the user has Editor or Manager access
to
-Save changes to existing dashboards, lenses, and datasets in the app (saving
dashboards requires the appropriate permission set license and permission)

Manager - Answer--view dashboards, lenses and datasets in the app
-see who has access to the app
-save contents of the app to another app that the user has Editor or Manager access
to
-Save changes to existing dashboards, lenses, and datasets in the app (saving
dashboards requires the appropriate permission set license and permission)
-change the app's sharing settings
-rename the app
-delete the app

Einstein Analytics Platform Admin - Answer-enables all permissions required to
administer the Analytics platform, including permissions to enable creating Analytics
templated apps and Apps

Einstein Analytics Platform User - Answer-enables all permissions required to use
the Analytics platform and Analytics templated apps and Apps

Dashboard Design Principles - Answer-Clarity, efficiency, consistency, beauty

Chart Types - Answer--Comparison: bar, column, dot plots, grouped bar/column
-Composition: donut, stacked bar
-Distribution: heat map, calendar heat map, scatterplot
-Trending: timeline chart, calendar heat map, dot plot
-Relationship: scatter plot/bubble chart
-Details: tables

App Design Structure - Answer-Priority, logic, level of granularity, similarity

GINI Coefficient - Answer-quantifies how close the obtained model performs to a
theoretically best possible model (range: 0 to 1)

Einstein Analytics Insight Types - Answer--What Happened: descriptive insight, finds
elements that have the most statistical significance

, -Why It Happened: diagnostic insight, what factors led to this outcome. Why = high
correlation. not causation
-What Could Happen: explore predicted outcomes and ways to improve them
-What is the Difference: explore the relationships between explanatory variables and
your story's outcome

Einstein Discovery Pros - Answer-provides:
-Automated insights
-Narrative explanations
-Recommendations
-Feedback loop
-Operationalizing results

Einstein Discovery Limits - Answer--Max 20,000,000 rows
-Min: 50 rows for descriptive insights, 400 rows for predictive insights
-Max 100 stories run per day
-Max 500 stories created per month
-Max of 2 concurrent stories per org

Faceting - Answer-Linking widgets by associating an element of their steps allowing
users to interact with them
--can connect multiple datasets using "Connect Data Sources" functionality or
through code using bindings

Selection Binding - Answer-returns the selections in the input step to the output
component (ex: toggles)
--user clicks on something in the dashboard to trigger the binding

Results Binding - Answer-Uses the result of the input step to update the output
component (ex: reference line)

Step/Query - Answer--where is the filter specified

XMD - Answer-Functionality: view API names, hide or show fields, rename fields,
specify how fields are displayed, add and format derived measures and dimensions,
set the columns you can view by default

Permission Set License - Answer-Grants users the ability to access Einstein but
doesn't give them permissions to do anything inside
--like a passport

Permission Set - Answer-Combination of specific permission abilities inside Einstein
--like a visa --> permission to travel under certain conditions

Sharing Inheritance - Answer--automatically applies a Salesforce object's sharing
logic to the dataset's rows
-Applies the same sharing setup for datasets as Salesforce uses for objects
-Increases accuracy and reduces the need for complicated security predicates
-covers user if they have "View All Data" permission
-supported objects: Account, Case, Contact, Lead, Opportunity

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Institution
Certified Analytics Professional
Course
Certified Analytics Professional

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Uploaded on
March 26, 2025
Number of pages
6
Written in
2024/2025
Type
Exam (elaborations)
Contains
Questions & answers

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