PDF Version DemoTopics 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%)
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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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Salesforce Einstein-Analytics-and-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Security and Access | 16% | - App and dataset permissions - Row-level security and sharing inheritance - Predicate expressions and encryption - User provisioning and governance |
| Analytics Dashboard Design | 13% | - Layout and mobile optimization - Chart selection and UX best practices - Lens creation and SAQL basics |
| Einstein Discovery | 12% | - Model deployment and write-back - Predictions in dashboards and Salesforce objects - Data preparation for modeling - Story creation and interpretation |
| Data Layer | 23% | - Data ingestion and connectors - Dataset creation, transformation and management - Schema, XMD and derived fields - Data sync, dataflows and recipes |
| Analytics Dashboard Implementation | 19% | - Advanced SAQL and custom logic - Dashboard embedding and performance - Bindings, interactivity and filters |
| Administration and Configuration | 17% | - Performance optimization and limits - Migration and change management - Platform setup and deployment - Template apps and API usage |
