Salesforce Einstein-Analytics-and-Discovery-Consultant 시험요강:
주제 | 소개 |
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주제 1 | - Use Data Manager To Extract And Load The Data Into The Einstein Analytics Application To Create Datasets
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주제 2 | - Given Derived Results And Insights, Adjust Data Parameters, Add
- Remove Data, And Rerun Story As Needed
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주제 3 | - Given Business And Access Requirements, Enable Einstein Analytics, Options, And Access As Expected
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주제 4 | - Define Lens Visualizations Such As Charts To Use And Dimensions And Measures To Display
- Describe The Process To Perform Writebacks To Salesforce Objects
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주제 5 | - Describe How The Salesforce Platform Features Map To The Model-View-Controller (MVC) Pattern
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주제 6 | - Given Customer Business Requirements, Develop Selection And Results Bindings With Static Steps
- Develop Dynamic Calculations Using Compare Tables
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주제 7 | - Customize Existing Einstein Analytics Template Apps To Meet The Business Needs
- Determine And Define Their Dashboarding Needs
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주제 8 | - Given User Requirements Or Ease Of Use Strategies, Manage Dataset Extended Metadata (XMD) By Affecting Labels, Values, And Colors
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주제 9 | - Analyze The Story Results And Determine Suggested Improvements That Can Be Presented To The Customer
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주제 10 | - Given Governance And Einstein Analytics Asset Security Requirements
- Manage Migration From Sandbox To Production Orgs
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주제 11 | - Given A Scenario, Use Einstein Analytics To Design A Solution That Accommodates Dataflow Limits
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주제 12 | - Implement App Sharing Based On User, Role, And Group Requirements
- Given Row-Based Security Requirements And Security Predicates
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주제 13 | - Demonstrate Knowledge Of What Can Be Accomplished With The Einstein Analytics API
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참조: https://trailhead.salesforce.com/help?article=Salesforce-Certified-Einstein-Analytics-and-Discovery-Consultant-Exam-Guide