Admin/Configuration Admin/Configuration
17%
- Admin/Configuration.1Given business and access requirements, enable CRM Analytics along with its features, encompassing permission sets and licenses.
- Admin/Configuration.2Given a scenario, use CRM Analytics to design a solution that accommodates data sync/dataflows/recipes limits.
- Admin/Configuration.3Given a situation, demonstrate knowledge of what can be accomplished with the CRM Analytics API.
- Admin/Configuration.4Given business requirements, migrate between different environments for deployment.
Data Layer Data Layer
23%
- Data Layer.1Given data sources, use Data Manager to extract and load the data into the CRM Analytics application to create datasets.
- Data Layer.2Given business needs and consolidated data, implement refreshes for data syncs and dataflows/recipes while keeping limits and considerations in mind.
- Data Layer.3Given business/user requirements, perform data transformations in dataflows/recipes.
- Data Layer.4Given user requirements or ease of use strategies, manage dataset extended metadata (XMD) by editing labels, values, and colors.
- Data Layer.5Implement delivery management strategies in dataflows/recipes including versioning and conversion.
Analytics Dashboard Design Analytics Dashboard Design
13%
- Analytics Dashboard Design.1Given business requirements, scope, validate, and prioritize dashboard design requirements.
- Analytics Dashboard Design.2Create appropriate dashboards to meet business requirements following CRM Analytics best practices and UX design principles.
- Analytics Dashboard Design.3Identify the appropriate use and configuration of a standard CRM Analytics templated app to meet business requirements.
Analytics Dashboard Implementation Analytics Dashboard Implementation
19%
- Analytics Dashboard Implementation.1Given business requirements, configure dashboards using accurate query types and widget level parameters.
- Analytics Dashboard Implementation.2Given business requirements, develop selection/result interactions with different types of queries.
- Analytics Dashboard Implementation.3Given business requirements, use advanced functionality such as windowing and time series analysis within compare tables.
- Analytics Dashboard Implementation.4Given business requirements, make dashboards actionable and accessible in Lightning pages.
- Analytics Dashboard Implementation.5Given a scenario, monitor and optimize query performance using Dashboard Inspector.
- Analytics Dashboard Implementation.6Implement delivery management strategies using versioning and/or Dashboard Publisher.
Einstein Discovery Einstein Discovery
12%
- Einstein Discovery.1Build a model by assessing data and selecting one of the three types of predictions (numeric, binary, multi-classification).
- Einstein Discovery.2Given business requirements, analyze the model results and propose data improvements to the customer.
- Einstein Discovery.3Given derived results and insights from the model, adjust data parameters and add/remove data or columns to improve the model.
- Einstein Discovery.4Enable prediction features on Lightning record pages across Salesforce and CRM Analytics.
- Einstein Discovery.5Monitor and interpret a Model Card to improve or maintain model performance.