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