Einstein-Analytics-and-Discovery-Consultant日本語 exam dumps

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  • Exam Code: Einstein-Analytics-and-Discovery-Consultant日本語
  • Exam Name: Salesforce Einstein Analytics and Discovery Consultant (Einstein-Analytics-and-Discovery-Consultant日本語版)
  • No. of Questions: 210 Questions and Answers
  • Updated: Oct 05, 2026

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  • Total Questions: 210
  • Updated on: Oct 05, 2026
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  • Total Questions: 210
  • Updated on: Oct 05, 2026
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  • Total Questions: 210
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Salesforce Einstein Analytics and Discovery Consultant certification exam is designed for individuals who have expertise in Salesforce Einstein Analytics and Discovery platform. Einstein-Analytics-and-Discovery-Consultant-JPN exam is ideal for those who want to demonstrate their knowledge in designing, building, and implementing analytics and discovery solutions using Einstein Analytics. Salesforce Einstein Analytics and Discovery Consultant (Einstein-Analytics-and-Discovery-Consultant日本語版) certification exam is a great opportunity for individuals who want to validate their skills and knowledge in the field of Salesforce Analytics.

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Salesforce Einstein Analytics and Discovery Consultant exam is an essential certification for professionals who work with data. It is a challenging exam that requires a deep understanding of the Salesforce Einstein Analytics and Discovery platform. However, passing Einstein-Analytics-and-Discovery-Consultant-JPN exam can open up new career opportunities and demonstrate your expertise in the field of analytics and data discovery.

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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:

SectionWeightObjectives
Einstein Discovery12%- 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
Security16%- 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 Layer23%- 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 Design13%- Requirements Gathering
  • 1. Business Requirement Analysis
  • 2. Dashboard Scope and Prioritization
- Dashboard Architecture
  • 1. Templated Applications
  • 2. UX Best Practices
Admin and Configuration17%- 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 Implementation19%- 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

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