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