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Einstein Analytics & Discovery-Consultant Exam Reference
Salesforce Einstein-Analytics-and-Discovery-Consultant日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security and Access | 16% | - User provisioning and governance - Row-level security and sharing inheritance - App and dataset permissions - Predicate expressions and encryption |
| Topic 2: Administration and Configuration | 17% | - Template apps and API usage - Performance optimization and limits - Platform setup and deployment - Migration and change management |
| Topic 3: Analytics Dashboard Design | 13% | - Layout and mobile optimization - Chart selection and UX best practices - Lens creation and SAQL basics |
| Topic 4: Analytics Dashboard Implementation | 19% | - Advanced SAQL and custom logic - Bindings, interactivity and filters - Dashboard embedding and performance |
| Topic 5: Einstein Discovery | 12% | - Model deployment and write-back - Predictions in dashboards and Salesforce objects - Story creation and interpretation - Data preparation for modeling |
| Topic 6: Data Layer | 23% | - Dataset creation, transformation and management - Schema, XMD and derived fields - Data sync, dataflows and recipes - Data ingestion and connectors |
