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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam : Salesforce Tableau CRM Einstein Discovery Consultant
- Exam Code: Tableau-CRM-Einstein-Discovery-Consultant
- Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant
- Updated: Oct 18, 2026
- Q & A: 244 Questions and Answers
About Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Questions
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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Einstein Discovery | 12% | - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics - Analyzing model results and proposing data improvements - Monitoring and interpreting Model Cards to improve or maintain model performance - Adjusting data parameters and adding/removing data or columns to improve models |
| Administration | 16% | - Managing CRM Analytics environment and configurations - Understanding recipes (Data Prep) for visual ETL interface - SAQL query language for dashboard JSON and lens queries - Embedding analytics in Salesforce |
| Security | 16% | - Dataset security settings using sharing inheritance and security predicates - App sharing based on user and group requirements - Implementing security settings for users, groups, and profiles |
| Data Layer | 24% | - Data transformation and loading into Einstein datasets - Understanding denormalized sequential datasets - Dataflow configuration for multi-object scenarios - Incremental sync configuration - Troubleshooting failed dataflow jobs - Data extraction from sources |
| Analytics Dashboard Implementation | 19% | - Developing selection/result interactions with different query types - Configuring dashboards using accurate query types and widget-level parameters - Using advanced functionality such as windowing and time series analysis in compare tables - Making dashboards actionable and accessible in Lightning pages - Implementing delivery management strategies using versioning and/or Dashboard Publisher - Monitoring and optimizing query performance using Dashboard Inspector |
| Analytics Dashboard Design | 13% | - Identifying appropriate use and configuration of standard CRM Analytics templated apps - Scoping, validating, and prioritizing dashboard design requirements - Creating dashboards following CRM Analytics best practices and UX design principles |
Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:
Question #1
What are two benefits of designing using the "Progressive Disclosure" principle? Choose 2 answers
- A. improved ease of use for end users
- B. Automatic conditional formatting
- C. Better dashboard performance
- D. Discounted EA licenses when growth is achieved
Correct Answer: A,C 🗳️
Explanation: Only visible for VCEEngine members. You can sign-up / login (it's free).
Question #2
What are the two types of bindings? Choose 2:
- A. Description bindings
- B. Selections bindings
- C. Results binding
- D. Data bindings
Correct Answer: B,C 🗳️
Question #3
A dataset for building the Einstein Discovery story contains 72 fields that are potentially relevant predictors.
Which approach is considered best practice to assess the top predictors in order to get to a meaningful and robust model?
- A. Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors that were omitted in the first run and assess their impact.
- B. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
- C. Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
- D. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
Correct Answer: A 🗳️
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Question #4
What's the best way to describe the template-info.json file?
- A. It makes sure that the app includes all the right Salesforce data.
- B. It's a read-only file with all the user documentation for a template.
- C. It's the boss of the template with all the information needed to create the app.
- D. It's automatically populated every time you create an app from the template.
Correct Answer: C 🗳️
Explanation: Only visible for VCEEngine members. You can sign-up / login (it's free).
Question #5
An Einstein Analytics consultant is notified of a performance issue with data sync (replication). The consultant researches the issue and determines that unnecessary data is being synced.
Which solution should the consultant implement to help improve data sync (replication) performance?
- A. Scale down the number of datasets to help improve data sync (replication) performance.
- B. Start over again with new dataflows that exclude unused fields with a filter to extract relevant data.
- C. Modify dataflows to exclude unused fields and include a filter to extract relevant data.
- D. Update the existing data sync (replication) process by removing unused fields with a filter to extract relevant data.
Correct Answer: D 🗳️
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