Salesforce Einstein-Analytics-and-Discovery-Consultant Preparation

Exam Name: Salesforce Certified Einstein Analytics and Discovery Consultant

163 Total Questions
Nov 6, 2019 updated
  • Exam Code: Einstein-Analytics-and-Discovery-Consultant
  • Certification Provider: Salesforce

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163 Total Question Nov 6, 2019 Updated
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163 Total Question Nov 6, 2019 Updated


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Salesforce Einstein-Analytics-and-Discovery-Consultant Exam Major Topics

  • Given A Scenario, Use Einstein Analytics To Design A Solution That Accommodates Dataflow Limits
  • Use Data Manager To Extract And Load The Data Into The Einstein Analytics Application To Create Datasets
  • Identify The Common Scenarios For Extending An Application's Capabilities Using The Appexchange
  • Demonstrate Knowledge Of What Can Be Accomplished With The Einstein Analytics API
  • Describe How The Salesforce Platform Features Map To The Model-View-Controller (MVC) Pattern
  • Implement App Sharing Based On User, Role, And Group Requirements/ Given Row-Based Security Requirements And Security Predicates
  • Implement Necessary Security Settings Including Users, Groups, And Profiles/ Implement The Appropriate Dataset Security Settings
  • Given Governance And Einstein Analytics Asset Security Requirements/ Manage Migration From Sandbox To Production Orgs
  • Given User Requirements Or Ease Of Use Strategies, Manage Dataset Extended Metadata (XMD) By Affecting Labels, Values, And Colors
  • Improve Dashboard Performance By Restructuring The Dataset And/Or Data Using Lenses
  • Given Business And Access Requirements, Enable Einstein Analytics, Options, And Access As Expected Customize Existing Einstein Analytics Template Apps To Meet The Business Needs/ Determine And Define Their Dashboarding Needs
  • Create Meaningful And Relevant Dashboards Through The Application Of User Experience (UX) Design Principles And Einstein Analytics Best Practices Given Customer Business Requirements, Develop Selection And Results Bindings With Static Steps/ Develop Dynamic Calculations Using Compare Tables
  • Define Lens Visualizations Such As Charts To Use And Dimensions And Measures To Display/ Describe The Process To Perform Writebacks To Salesforce Objects
  • Given A Dataset, Use Einstein Discovery To Prepare Data For Story Output By Accessing Data And Adjusting Outputs
  • Analyze The Story Results And Determine Suggested Improvements That Can Be Presented To The Customer
  • Given Derived Results And Insights, Adjust Data Parameters, Add/Remove Data, And Rerun Story As Needed

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