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Preparing for the Salesforce Tableau CRM Einstein Discovery Consultant Certification Exam requires a combination of hands-on experience and study. Salesforce offers a range of resources to help candidates prepare, including online training courses, study guides, and practice exams. With the right preparation and dedication, individuals can gain the skills and knowledge needed to pass this challenging and rewarding certification exam.
Salesforce Tableau CRM Einstein Discovery Consultant Exam is designed to test the knowledge and skills of professionals who specialize in Salesforce's suite of data analytics and business intelligence tools. Salesforce Tableau CRM Einstein Discovery Consultant certification is ideal for consultants and developers who want to demonstrate their proficiency in using Tableau CRM and Einstein Discovery to help businesses make data-driven decisions.
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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security | 16% | - App sharing based on user and group requirements - Dataset security settings using sharing inheritance and security predicates - Implementing security settings for users, groups, and profiles |
| Topic 2: Analytics Dashboard Design | 13% | - Creating dashboards following CRM Analytics best practices and UX design principles - Scoping, validating, and prioritizing dashboard design requirements - Identifying appropriate use and configuration of standard CRM Analytics templated apps |
| Topic 3: Analytics Dashboard Implementation | 19% | - Making dashboards actionable and accessible in Lightning pages - Configuring dashboards using accurate query types and widget-level parameters - Using advanced functionality such as windowing and time series analysis in compare tables - Monitoring and optimizing query performance using Dashboard Inspector - Developing selection/result interactions with different query types - Implementing delivery management strategies using versioning and/or Dashboard Publisher |
| Topic 4: Data Layer | 24% | - Data transformation and loading into Einstein datasets - Understanding denormalized sequential datasets - Incremental sync configuration - Troubleshooting failed dataflow jobs - Data extraction from sources - Dataflow configuration for multi-object scenarios |
| Topic 5: Einstein Discovery | 12% | - 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 - Monitoring and interpreting Model Cards to improve or maintain model performance - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics - Analyzing model results and proposing data improvements |
| Topic 6: 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 |
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