Tableau-CRM-Einstein-Discovery-Consultant Exam Dumps
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| Certification Provider: | Salesforce |
|---|---|
| Exam Code / Number: | Tableau-CRM-Einstein-Discovery-Consultant |
| Exam Name: | Salesforce Tableau CRM Einstein Discovery Consultant |
| Exam Questions: | 244 |
| Last Updated: | Jul 09, 2026 |
| Corresponding Certification: | Salesforce Consultant |
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(365 Up Votes)To earn the Salesforce Tableau-CRM-Einstein-Discovery-Consultant certification, candidates must have experience in implementing Tableau CRM and Einstein Discovery solutions on the Salesforce platform. Salesforce Tableau CRM Einstein Discovery Consultant certification is intended for individuals who have worked with Salesforce for a minimum of six months and have experience in designing and implementing analytics solutions using Tableau CRM and Einstein Discovery.
Salesforce Tableau CRM Einstein Discovery Consultant Certification Exam is a professional certification program designed for individuals who have extensive knowledge and expertise in Salesforce Tableau CRM, Einstein Analytics, and Einstein Discovery. Salesforce Tableau CRM Einstein Discovery Consultant certification exam is ideal for professionals who have experience in designing custom dashboards, reports, and analytics solutions using Salesforce Tableau CRM and Einstein Analytics. Tableau-CRM-Einstein-Discovery-Consultant exam is intended to validate an individual's knowledge and skills in implementing and configuring Salesforce Tableau CRM and Einstein Discovery solutions to meet business requirements.
Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Administration | 16% | - Managing CRM Analytics environment and configurations - Understanding recipes (Data Prep) for visual ETL interface - Embedding analytics in Salesforce - SAQL query language for dashboard JSON and lens queries |
| Topic 2: Analytics Dashboard Implementation | 19% | - Developing selection/result interactions with different query types - Making dashboards actionable and accessible in Lightning pages - Monitoring and optimizing query performance using Dashboard Inspector - Configuring dashboards using accurate query types and widget-level parameters - Using advanced functionality such as windowing and time series analysis in compare tables - Implementing delivery management strategies using versioning and/or Dashboard Publisher |
| Topic 3: Analytics Dashboard Design | 13% | - 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 |
| Topic 4: Data Layer | 24% | - Data extraction from sources - Incremental sync configuration - Data transformation and loading into Einstein datasets - Understanding denormalized sequential datasets - Dataflow configuration for multi-object scenarios - Troubleshooting failed dataflow jobs |
| Topic 5: Einstein Discovery | 12% | - Analyzing model results and proposing data improvements - Adjusting data parameters and adding/removing data or columns to improve models - 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) - Monitoring and interpreting Model Cards to improve or maintain model performance |
| Topic 6: Security | 16% | - 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 |