Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) Exam Questions

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Exam Objectives

1. 1

   1.0 Data Layer (23%)

   • 1.1Given data sources, use Data Manager to extract and load the data into the CRM Analytics application to create datasets.
   • 1.2Given business needs and consolidated data, implement refreshes for data syncs and dataflows/recipes while keeping limits and considerations in mind.
   • 1.3Given business/user requirements, perform data transformations in dataflows/recipes.
   • 1.4Given user requirements or ease of use strategies, manage dataset extended metadata (XMD) by editing labels, values, and colors.
   • 1.5Implement delivery management strategies in dataflows/recipes including versioning and conversion.
2. 2

   2.0 Security (16%)

   • 2.1Given governance and CRM Analytics asset security requirements, implement necessary security settings for users, groups, and profiles.
   • 2.2Given row-based security requirements, implement the appropriate dataset security settings by using sharing inheritance and security predicates.
   • 2.3Implement app sharing based on user and group requirements.
3. 3

   3.0 Admin/Configuration (17%)

   • 3.1Given business and access requirements, enable CRM Analytics along with its features, encompassing permission sets and licenses.
   • 3.2Given a scenario, use CRM Analytics to design a solution that accommodates data sync/dataflows/recipes limits.
   • 3.3Given a situation, demonstrate knowledge of what can be accomplished with the CRM Analytics API.
   • 3.4Given business requirements, migrate between different environments for deployment.
4. 4

   4.0 Analytics Dashboard Design (13%)

   • 4.1Given business requirements, scope, validate, and prioritize dashboard design requirements.
   • 4.2Create appropriate dashboards to meet business requirements following CRM Analytics best practices and UX design principles.
   • 4.3Identify the appropriate use and configuration of a standard CRM Analytics templated app to meet business requirements.
5. 5

   5.0 Analytics Dashboard Implementation (19%)

   • 5.1Given business requirements, configure dashboards using accurate query types and widget level parameters.
   • 5.2Given business requirements, develop selection/result interactions with different types of queries.
   • 5.3Given business requirements, use advanced functionality such as windowing and time series analysis within compare tables.
   • 5.4Given business requirements, make dashboards actionable and accessible in Lightning pages.
   • 5.5Given a scenario, monitor and optimize query performance using Dashboard Inspector.
   • 5.6Implement delivery management strategies using versioning and/or Dashboard Publisher.
6. 6

   6.0 Einstein Discovery (12%)

   • 6.1Build a model by assessing data and selecting one of the three types of predictions (numeric, binary, multi-classification).
   • 6.2Given business requirements, analyze the model results and propose data improvements to the customer.
   • 6.3Given derived results and insights from the model, adjust data parameters and add/remove data or columns to improve the model.
   • 6.4Enable prediction features on Lightning record pages across Salesforce and CRM Analytics.
   • 6.5Monitor and interpret a Model Card to improve or maintain model performance.