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Salesforce Einstein Analytics and Discovery Consultant Certification Exam is a valuable certification for professionals who are responsible for designing and implementing analytics solutions using the Salesforce Einstein Analytics platform. It validates the skills and knowledge of candidates in a range of areas including data modeling, data visualization, dashboard design, and analytics best practices. With the right preparation and training, candidates can successfully pass the exam and earn this globally recognized certification.

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 Certification Exam is divided into four main sections. The first section covers the fundamentals of Salesforce Einstein Analytics and Discovery, including data modeling, data preparation, and data visualization. The second section covers dashboard design, including best practices for creating effective dashboards and designing interactive dashboards. The third section covers advanced analytics, including predictive analytics, machine learning, and artificial intelligence. The final section covers project management and implementation, including best practices for managing projects and implementing solutions using the Salesforce platform.

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Before taking the Salesforce Einstein Analytics and Discovery Consultant certification exam, it is important to have a solid understanding of the Salesforce platform and how it works. In addition, candidates should have experience working with data and analytics tools, as well as an understanding of statistical methods and data analysis techniques. Candidates who have experience working with Salesforce Einstein Analytics and Discovery will have a distinct advantage on the exam, as they will be familiar with the platform's features, capabilities, and best practices.

Salesforce Einstein-Analytics-and-Discovery-Consultant日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Security16%- Access Control
  • 1. Profile and Permission Configuration
  • 2. User and Group Security
- Data Security
  • 1. Row-Level Security
  • 2. Sharing Inheritance
  • 3. Security Predicates
Topic 2: Admin and Configuration17%- CRM Analytics Enablement and Licensing
  • 1. Feature Enablement
  • 2. Permission Sets and Access Management
- Deployment and Migration
  • 1. Environment Migration Strategies
  • 2. Analytics API Capabilities
Topic 3: Analytics Dashboard Implementation19%- Performance and Deployment
  • 1. Lightning Page Integration
  • 2. Versioning and Dashboard Publisher
  • 3. Dashboard Inspector
- Dashboard Development
  • 1. Interactions and Bindings
  • 2. Widgets and Query Types
  • 3. Compare Tables and Time Series Analysis
Topic 4: Data Layer23%- Data Integration
  • 1. Data Sync
  • 2. Data Manager
  • 3. Dataset Creation
- Data Transformation
  • 1. Dataset Metadata Management
  • 2. Dataflows
  • 3. Recipes
  • 4. Refresh and Delivery Management
Topic 5: Analytics Dashboard Design13%- Requirements Gathering
  • 1. Business Requirement Analysis
  • 2. Dashboard Scope and Prioritization
- Dashboard Architecture
  • 1. UX Best Practices
  • 2. Templated Applications
Topic 6: Einstein Discovery12%- Prediction Models
  • 1. Binary Predictions
  • 2. Numeric Predictions
  • 3. Multi-Class Predictions
- Model Analysis and Deployment
  • 1. Prediction Deployment
  • 2. Model Evaluation
  • 3. Data Improvement Recommendations
  • 4. Model Card Monitoring

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