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&As: 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
- SAQL query language for dashboard JSON and lens queries
- Embedding analytics in Salesforce
- Understanding recipes (Data Prep) for visual ETL interface
Einstein Discovery12%- Adjusting data parameters and adding/removing data or columns to improve models
- 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
Analytics Dashboard Implementation19%- Developing selection/result interactions with different query types
- 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
- Using advanced functionality such as windowing and time series analysis in compare tables
- Implementing delivery management strategies using versioning and/or Dashboard Publisher
Data Layer24%- Troubleshooting failed dataflow jobs
- Dataflow configuration for multi-object scenarios
- Data extraction from sources
- Data transformation and loading into Einstein datasets
- Understanding denormalized sequential datasets
- Incremental sync configuration
Analytics Dashboard Design13%- Creating dashboards following CRM Analytics best practices and UX design principles
- Identifying appropriate use and configuration of standard CRM Analytics templated apps
- Scoping, validating, and prioritizing dashboard design requirements
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
Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. In an org, some of the Activity records do not have related Opportunity records. Additionally, there are Opportunity records that do not have related Activity records.
Which SAQL statement will fetch all Opportunities, even if they don't have associated Activities, and fetch related Activity data, if it exists?

A) q = cogroup Opportunity by 'Id' right, Activities by 'Opportunityld';
B) q = cogroup Opportunity by 'Id' left, Activities by 'Opportunityld';
C) q = cogroup Opportunity by 'Id', Activities by 'Opportunityld' left;
D) q = cogroup Opportunity by 'Id', Activities by 'Opportunityld';


2. The Einstein Analytics team at a company created a clataset based on the Opportunity__c custom object. The VP of Sales reports seeing the message "No results found" when opening the dataset to explore it. Other users below the VP in the role hierarchy can see rows on the same dataset. Which two problems might be causing this issue?

A) The Salesforce profile for the VP does not have read permission on the Opportunity__c custom object
B) The dataset is inheriting sharing from Salesforce and the VP can see more than 3000 rows
C) The Security Predicates set up at the dataset level are preventing the VP from seeing data
D) The Salesforce profile for the VP does not have read permission on some fields of the Opportunity__c custom object


3. Exhibit:

A company wants to create a timeline chart to visualize the evolution of their Closed Won Opportunities. What are the required parameters to build a lens that displays output similar to the image shown?

A) 1 measure, 1 grouping by a date field, and either 0-1 groupings by a dimension if trellis is disabled, or 0-2 groupings if trellis is enabled
B) 1 measure, 1-2 groupings if trellis is disabled, or 1-4 groupings if trellis is enabled
C) 1 measure, 0 groupings if trellis is disabled, or 0-2 groupings if trellis is enabled
D) 2 measures, 0-2 groupings if trellis is disabled, or 0-4 groupings if trellis is enabled


4. How many stories can you create in Analytics Plus?

A) 1,000, but more can be purchased
B) 5,000
C) 500, but more can be purchased
D) 75, but more can be purchased


5. A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores, and the customer sees chart related to promotional activities and to San Francisco specifically.
What conclusion can be drawn from this insight?
What conclusion can be drawn from this Insight?

A) Of all promotions types in San Francisco, sales were the highest using Display promotion.
B) The Other stores (visualized with the gray bars) show no significant data for the sales promotions.
C) The best promotion type is Display.
D) Promotions increase sales stronger in San Francisco than they do in other cities.


Solutions:

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

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