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Salesforce Einstein Analytics and Discovery Consultant Certification Exam can lead to a rewarding career for candidates who successfully pass it. Certified individuals can take on roles such as Salesforce Analytics Consultant, Analytics Project Manager, Data Analyst, and Business Intelligence Analyst. They can also leverage their skills and knowledge to add value to their respective organizations by optimizing the Salesforce Einstein Analytics and Discovery application to drive better decision-making, increase sales, and improve customer satisfaction.
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Salesforce Einstein-Analytics-and-Discovery-Consultant日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Data Layer | 23% | - Data sync, dataflows and recipes
- Dataset creation, transformation and management
- Data ingestion and connectors
- Schema, XMD and derived fields
|
| Topic 2: Analytics Dashboard Design | 13% | - Lens creation and SAQL basics
- Layout and mobile optimization
- Chart selection and UX best practices
|
| Topic 3: Analytics Dashboard Implementation | 19% | - Bindings, interactivity and filters
- Advanced SAQL and custom logic
- Dashboard embedding and performance
|
| Topic 4: Einstein Discovery | 12% | - Data preparation for modeling
- Story creation and interpretation
- Predictions in dashboards and Salesforce objects
- Model deployment and write-back
|
| Topic 5: Administration and Configuration | 17% | - Performance optimization and limits
- Migration and change management
- Template apps and API usage
- Platform setup and deployment
|
| Topic 6: Security and Access | 16% | - Predicate expressions and encryption
- User provisioning and governance
- Row-level security and sharing inheritance
- App and dataset permissions
|