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Salesforce Einstein Analytics and Salesforce Einstein Analytics and Discovery-Consultant Exam Certified Professional salary
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Preparation Guide for Salesforce Einstein Analytics and Discovery-Consultant Exam
Introduction
This certification program Salesforce Einstein Analytics and Discovery-Consultant is based on a comprehensive examination of whether a candidate fulfills the Salesforce skill criteria using industry standard techniques. The Salesforce Einstein Analytics and Discovery-Consultant provides businesses with the ability to use advanced Salesforce Analytics query (SAQL) code for query assistance to manage databases, permits and security solutions. Salesforce Einstein Analysis and Discovery-Consultant is for professional applications. The certification shows your skills and expertise in the fields you want to work in. If the applicant wishes to work on and demonstrate his expertise on the Salesforce Einstein Analytics and Discovery-Consultant Exam, Salesforce certification is provided. This Salesforce Einstein Analytics and Discovery Consultant exam dumps enables a candidate verify his competence in the field of Salesforce Einstein Analytics and the Technology Discovery-Consultant. The Salesforce Einstein Certified Analytics and Discovery-Consultant target people with skill, know-how and experience in the areas of data collection, security and access and panel construction. This includes essential skills and ability to build, deploy and manage Einstein Analytics and Discovery applications, datasets, panels and reports.
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Salesforce Einstein-Analytics-and-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Analytics Dashboard Design | 13% | - Layout and mobile optimization - Chart selection and UX best practices - Lens creation and SAQL basics |
| Administration and Configuration | 17% | - Migration and change management - Performance optimization and limits - Template apps and API usage - Platform setup and deployment |
| Security and Access | 16% | - User provisioning and governance - App and dataset permissions - Row-level security and sharing inheritance - Predicate expressions and encryption |
| Data Layer | 23% | - Schema, XMD and derived fields - Data sync, dataflows and recipes - Dataset creation, transformation and management - Data ingestion and connectors |
| Analytics Dashboard Implementation | 19% | - Advanced SAQL and custom logic - Dashboard embedding and performance - Bindings, interactivity and filters |
| Einstein Discovery | 12% | - Model deployment and write-back - Story creation and interpretation - Data preparation for modeling - Predictions in dashboards and Salesforce objects |
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