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Einstein Analytics & Discovery-Consultant Exam Reference
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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
- Language: English
- Passing Score : 68%
- Cost: $200
- Length of Examination: 90 minutes
- Number of Questions: 60
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 |
|---|---|---|
| Topic 1: Einstein Discovery | 12% | - Story creation and interpretation - Data preparation for modeling - Model deployment and write-back - Predictions in dashboards and Salesforce objects |
| Topic 2: Analytics Dashboard Design | 13% | - Layout and mobile optimization - Chart selection and UX best practices - Lens creation and SAQL basics |
| Topic 3: Analytics Dashboard Implementation | 19% | - Dashboard embedding and performance - Bindings, interactivity and filters - Advanced SAQL and custom logic |
| Topic 4: Administration and Configuration | 17% | - Migration and change management - Template apps and API usage - Performance optimization and limits - Platform setup and deployment |
| Topic 5: Security and Access | 16% | - Row-level security and sharing inheritance - User provisioning and governance - Predicate expressions and encryption - App and dataset permissions |
| Topic 6: Data Layer | 23% | - Schema, XMD and derived fields - Data sync, dataflows and recipes - Dataset creation, transformation and management - Data ingestion and connectors |
