How to study the Salesforce Einstein Analytics and Discovery-Consultant Exam
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Who should take the Salesforce Einstein Analytics and Discovery-Consultant Exam
The Salesforce Einstein Analytics and Discovery-Consultant: Salesforce Einstein Analytics and Discovery-Consultant Exam Certification is an international certification that helps to validate individuals who want to further their profession in the Salesforce Windows Server sector. This exam is used to the concepts and therefore the technology of the maintenance of Windows Server. Candidates should be able to use Windows Server, Windows networking, Active Directory, Account Management, System Recovery tools and concepts These candidates may take this examination. The certified Salesforce Einstein Analytics and Discovery-Consultant is designed for those with experience and expertise in the fields of data acquisition, security and access solutions and display development. This certification includes essential knowledge and abilities in the field of design, construction and support for Einstein Analytics and Discovery applications, datasets, dashboards and histories. We offer different fields and certification providers with the newest practices preparation questions. The newest certification tests help you get your certification. Certification questions team recommend preparing certain notes on these subjects and don't forget to practice Salesforce Einstein Analytics and Discovery Consultant exam dumps, who have been drafted by our expert team along with Einstein Analytics & Discovery-Consultant practice exams. You may test your knowledge with these practice exams before you appear on the actual exam. They are specifically intended for individuals who wish to prepare before taking the certification examination like a genuine test.
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Salesforce Einstein-Analytics-and-Discovery-Consultant Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Modeling and Security | - Security and sharing in Tableau CRM - Data sources and datasets |
| Topic 2: Data Integration and Preparation | - Dataflows and recipes - Data transformation and harmonization |
| Topic 3: Einstein Discovery | - Recommendations and insights - Predictive modeling concepts - Story creation and interpretation |
| Topic 4: Dashboard and Lens Design | - Dashboard creation and configuration - Lenses and exploration of data |
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