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

  • Exam Code: Tableau-CRM-Einstein-Discovery-Consultant
  • Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant
  • Updated: Aug 14, 2026
  • Q & A: 244 Questions and Answers

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

SectionWeightObjectives
Administration16%- 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
Analytics Dashboard Design13%- Identifying appropriate use and configuration of standard CRM Analytics templated apps
- Creating dashboards following CRM Analytics best practices and UX design principles
- Scoping, validating, and prioritizing dashboard design requirements
Analytics Dashboard Implementation19%- Making dashboards actionable and accessible in Lightning pages
- Monitoring and optimizing query performance using Dashboard Inspector
- Implementing delivery management strategies using versioning and/or Dashboard Publisher
- Developing selection/result interactions with different query types
- Using advanced functionality such as windowing and time series analysis in compare tables
- Configuring dashboards using accurate query types and widget-level parameters
Security16%- Dataset security settings using sharing inheritance and security predicates
- Implementing security settings for users, groups, and profiles
- App sharing based on user and group requirements
Data Layer24%- Understanding denormalized sequential datasets
- Data extraction from sources
- Data transformation and loading into Einstein datasets
- Troubleshooting failed dataflow jobs
- Dataflow configuration for multi-object scenarios
- Incremental sync configuration
Einstein Discovery12%- Monitoring and interpreting Model Cards to improve or maintain model performance
- 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
- Adjusting data parameters and adding/removing data or columns to improve models

Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

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


2. Default rows in values table

A) 75
B) 50
C) 100
D) 200


3. An Einstein Consultant receives a request from the Marketing department to help them understand lead conversion. Presently, they are unaware of the percentage of leads that get converted to sales. They hope to view results by account manager, value, and quarter. The data is there, so the consultant can add it to the marketing dashboard.
How should this metric be calculated?

A) Create a new step in the dashboard using a compare table and define a formula.
B) Create a computeExpression in the dataflow.
C) Create a formula field on the lead object in Salesforce and add it to the dataset.
D) Create a new step in the dashboard using a compare table and the running total function.


4. After the initial creation of a story, the first story insight explains 93% of the variation of the outcome variable. This is unusual high?
What is the most likely multiple for this?

A) The outcome variable is causing data leakage.
B) The dataset contains multiple dominant values.
C) The dataset contains too many rows.
D) The dataset used in the story suffers from too many outlier values.


5. What kind of org should you use for checking challenges when you do Trailhead modules about Analytics?

A) A higher education org, because analytics requires advanced math
B) A Developer Edition org, because it's a free, safe environment where you can try things out
C) A trial org, because you don't need to save anything
D) An enterprise org, because that type of org is typically used by large companies


Solutions:

Question # 1
Answer: B
Question # 2
Answer: C
Question # 3
Answer: B
Question # 4
Answer: B
Question # 5
Answer: B

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