Salesforce Tableau CRM Einstein Discovery Consultant : Tableau-CRM-Einstein-Discovery-Consultant

Tableau-CRM-Einstein-Discovery-Consultant real exams

Exam Code: Tableau-CRM-Einstein-Discovery-Consultant

Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant

Updated: Aug 27, 2026

Q & A: 244 Questions and Answers

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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:

SectionWeightObjectives
Einstein Discovery12%- Monitoring and interpreting Model Cards to improve or maintain model performance
- Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics
- Building models by assessing data and selecting prediction types (numeric, binary, multi-classification)
- Adjusting data parameters and adding/removing data or columns to improve models
- Analyzing model results and proposing data improvements
Analytics Dashboard Design13%- Scoping, validating, and prioritizing dashboard design requirements
- Identifying appropriate use and configuration of standard CRM Analytics templated apps
- Creating dashboards following CRM Analytics best practices and UX design principles
Data Layer24%- Incremental sync configuration
- Data transformation and loading into Einstein datasets
- Dataflow configuration for multi-object scenarios
- Data extraction from sources
- Troubleshooting failed dataflow jobs
- Understanding denormalized sequential datasets
Security16%- Implementing security settings for users, groups, and profiles
- App sharing based on user and group requirements
- Dataset security settings using sharing inheritance and security predicates
Administration16%- SAQL query language for dashboard JSON and lens queries
- Embedding analytics in Salesforce
- Understanding recipes (Data Prep) for visual ETL interface
- Managing CRM Analytics environment and configurations
Analytics Dashboard Implementation19%- Implementing delivery management strategies using versioning and/or Dashboard Publisher
- Configuring dashboards using accurate query types and widget-level parameters
- Monitoring and optimizing query performance using Dashboard Inspector
- Making dashboards actionable and accessible in Lightning pages
- Developing selection/result interactions with different query types
- Using advanced functionality such as windowing and time series analysis in compare tables

Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

Question 1

A story created has an AUC of .62.
What two things could be done to possible improve this AUC score?
Choose 2 answers

A. Segment the training set.
B. Add more rows of relevant data.
C. Run detect sentiment on the dataflow before creating the story.
D. Change the order of the story insights to descending.


Question 2

Which three things can be done with the tableau CRM Dashboard Inspector?
Choose 3 answers

A. See the final query for each query along with query results.
B. Get a list of recommendations on how to improve the performance of the dashboard.
C. View all queries and the time it took to run each one.
D. Automatically remove bottlenecks to make queries run faster.
E. View the total time required to run all queries.


Question 3

Which of the following are included in the template object?

A. A,C
B. variables.json
C. app.json
D. ui.json
E. A,B and C


Question 4

The Universal Containers Einstein Analytics team built a dashboard with two widgets:
1. List widget associated to the step "Type_2" and grouped by the dimension "Type" (multi-selection)
2. Pie chart widget associated to the step "Step_pie_3" and grouped by the dimension "Type" The team wants to use bindings so any selection in the List widget will filter the Pie chart.
Additional notes:
* The steps use different datasets.
* Users should be able to choose more than one Type (multi-selection).
What is the right syntax for the binding?

A.

B.

C.

D.


Question 5

A consultant built a very useful Einstein Analytics app for the corporate Sales Operations team of a company that has multiple Salesforce Ogrs, Each Org has similar models and would like to review their data the way that the corporate Sales Operations team does. The app has been packaged and needs to be installed on the other production orgs.
What is the recommended practice to install the custom template app?

A. Rest API
B. Salesforce Managed Package
C. Metadata API
D. Change Sets


Solutions:

Question 1
Answer: C,D
Question 2
Answer: A,B,C
Question 3
Answer: A
Question 4
Answer: B
Question 5
Answer: B

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