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Topics of Salesforce Einstein Analytics and Discovery-Consultant Exam
Applicants should know the subjects of the examination before training begins. Because it's going to help them reach the core. Our Salesforce Einstein Analytics and Discovery Consultant exam dumps will include the following topics:
- Data Layer (24%)
- Security (11%)
- Admin (9%)
- Analytics Dashboard Design (19%)
- Analytics Dashboard Implementation (18%)
- Einstein Discovery Story Design (19%)
Salesforce Einstein Analytics and Discovery-Consultant Exam Certification Path
This training does not seem to be a prerequisite. Anyone who knows and knows Salesforce technique is encouraged to seek this accreditation. Salesforce Einstein Analytics and Discovery-Consultant credentials are for people who take wide understanding of and abilities of the Einstein Analytics and Discovery platform, including: data set planning, authorizations and protection implementation methods, sophisticated Salesforce Analytics Query Language (SAQL) and JSON. All certified professionals and family members successfully conduct administrative tests on their own in order to maintain the Salesforce certification. The Einstein Analytics and Discovery-Consultant Maintenance Certification training offered throughout the program should be completed. The Einstein Analytics and the Exploration Consultant Certification have three releases per year (Summer, Winter, Spring). If by the date of completion you do not meet your maintenance obligations, your credentials will expire. You will pass your examination with good qualifications with our supplier Einstein Analytics and Discovery Consultant exam dumps and Einstein Analytics & Discovery-Consultant practice exams.
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Salesforce Einstein-Analytics-and-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Administration and Configuration | 17% | - Platform setup and deployment - Template apps and API usage - Performance optimization and limits - Migration and change management |
| Topic 2: Data Layer | 23% | - Data ingestion and connectors - Data sync, dataflows and recipes - Dataset creation, transformation and management - Schema, XMD and derived fields |
| Topic 3: Analytics Dashboard Design | 13% | - Layout and mobile optimization - Chart selection and UX best practices - Lens creation and SAQL basics |
| 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: Analytics Dashboard Implementation | 19% | - Advanced SAQL and custom logic - Bindings, interactivity and filters - Dashboard embedding and performance |
| Topic 6: Security and Access | 16% | - User provisioning and governance - Predicate expressions and encryption - Row-level security and sharing inheritance - App and dataset permissions |







