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Reference: https://trailhead.salesforce.com/help?article=Salesforce-Certified-Einstein-Analytics-and-Discovery-Consultant-Exam-Guide
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Salesforce Einstein-Analytics-and-Discovery-Consultant日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Einstein Discovery | 12% | - Prediction Models
- 1. Multi-Class Predictions
- 2. Numeric Predictions
- 3. Binary Predictions
- Model Analysis and Deployment
- 1. Model Card Monitoring
- 2. Model Evaluation
- 3. Prediction Deployment
- 4. Data Improvement Recommendations
|
| Security | 16% | - Data Security
- 1. Security Predicates
- 2. Row-Level Security
- 3. Sharing Inheritance
- Access Control
- 1. User and Group Security
- 2. Profile and Permission Configuration
|
| Data Layer | 23% | - Data Transformation
- 1. Refresh and Delivery Management
- 2. Dataset Metadata Management
- 3. Recipes
- 4. Dataflows
- Data Integration
- 1. Data Manager
- 2. Dataset Creation
- 3. Data Sync
|
| Analytics Dashboard Design | 13% | - Requirements Gathering
- 1. Business Requirement Analysis
- 2. Dashboard Scope and Prioritization
- Dashboard Architecture
- 1. Templated Applications
- 2. UX Best Practices
|
| Admin and Configuration | 17% | - Deployment and Migration
- 1. Analytics API Capabilities
- 2. Environment Migration Strategies
- CRM Analytics Enablement and Licensing
- 1. Feature Enablement
- 2. Permission Sets and Access Management
|
| Analytics Dashboard Implementation | 19% | - Performance and Deployment
- 1. Dashboard Inspector
- 2. Lightning Page Integration
- 3. Versioning and Dashboard Publisher
- Dashboard Development
- 1. Widgets and Query Types
- 2. Compare Tables and Time Series Analysis
- 3. Interactions and Bindings
|