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Introduction to Salesforce Einstein Analytics and Discovery-Consultant Exam
The Einstein Analytics and Discovery-Consultants Salesforce Analytics test is a certification examination carried out by Salesforce to verify applicants' knowledge and abilities as managers of projects and portfolios. It assesses applicant know-how and abilities in data level, safety, management, analytical panel design, the execution of the dashboard and Einstein Discovery Story Design. As a Salesforce Einstein Analytics and Discovery Advisor, you are responsible for Einstein Analytics and the Discovery Platform with its abilities including: dataset management, security authorizations and implementations, advanced query coding Language Salesforce (SAQL) for query support and JSON for mobile and desktop panel building. This test monitors the amount of expertise for issues such as SAQL constructing objectives, develops comparison tables to dynamic computations and improves cards performance. Following the test, participants obtain a Salesforce credential, which enables them to show their customers and employers their skills in Einstein Analytics and Discovery.
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Einstein Analytics & Discovery-Consultant Exam Reference
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Salesforce Einstein-Analytics-and-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Layer | 23% | - Schema, XMD and derived fields - Data ingestion and connectors - Dataset creation, transformation and management - Data sync, dataflows and recipes |
| Administration and Configuration | 17% | - Migration and change management - Platform setup and deployment - Performance optimization and limits - Template apps and API usage |
| Analytics Dashboard Design | 13% | - Lens creation and SAQL basics - Layout and mobile optimization - Chart selection and UX best practices |
| Security and Access | 16% | - Row-level security and sharing inheritance - User provisioning and governance - Predicate expressions and encryption - App and dataset permissions |
| Einstein Discovery | 12% | - Model deployment and write-back - Data preparation for modeling - Story creation and interpretation - Predictions in dashboards and Salesforce objects |
| Analytics Dashboard Implementation | 19% | - Bindings, interactivity and filters - Advanced SAQL and custom logic - Dashboard embedding and performance |
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