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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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What is the duration, language, and format of Salesforce Einstein Analytics and Discovery-Consultant Exam
- Exam type : Beta exam
- Type of Questions: Multiple choice / multiple select
- Passing Score : 68%
- Cost: $200
- Length of Examination: 90 minutes
- Language: English
- Number of Questions: 60
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Salesforce Einstein-Analytics-and-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Analytics Dashboard Implementation | 19% | - Dashboard embedding and performance - Advanced SAQL and custom logic - Bindings, interactivity and filters |
| Administration and Configuration | 17% | - Platform setup and deployment - Template apps and API usage - Performance optimization and limits - Migration and change management |
| Data Layer | 23% | - Data sync, dataflows and recipes - Dataset creation, transformation and management - Schema, XMD and derived fields - Data ingestion and connectors |
| Analytics Dashboard Design | 13% | - Chart selection and UX best practices - Layout and mobile optimization - Lens creation and SAQL basics |
| Einstein Discovery | 12% | - Predictions in dashboards and Salesforce objects - Story creation and interpretation - Model deployment and write-back - Data preparation for modeling |
| Security and Access | 16% | - App and dataset permissions - User provisioning and governance - Row-level security and sharing inheritance - Predicate expressions and encryption |
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