- Describe the editions of Oracle Analytics Cloud
- Describe the solutions applicable for each OAC edition
- Identify the pre-requisites for OAC
- Explain the concept of a compute shape
- Explain Transactional versus Analytical Systems
- Describe Data Warehousing
- Describe Dimensions, Facts and Hierarchies
- Build Types of Dimensional Modeling
- Describe the different layers of the BI Repository
- Use the Administration Tool to view and modify the repository
- Assign table access permissions to Application Roles
- Describe self service data preparation
- Perform operations on a data set
- Describe 'sequence' in the context of OAC data preparation
- Explain how OAC Data Sync works and when it is implemented
- Explain the OAC remote data connector
- Use the 'Explain' functionality
- Create and train a machine learning model
- Analyze how effective the model is
- Provision Database. Storage and Identity Services
- Provision Users and Application Roles
- Explain how to migrate from OBIEE on prem to Oracle Analytics Cloud
- Use the Oracle Baseline Validation Tool (BVT)
- Explain OAC 'best visualization' for a data set
- Describe brushing and its benefits
- Create a flexible layout of multiple visualizations
- Use OAC to present your data as a story
- Use BI Ask
- Create a custom visualization plugin
- Create a filter using a variable to control data that is displayed in a visualization
- Describe the Advanced Analytics capabilities in OAC
- Explain advanced analytic calculations in OAC
- Create a trendline
- Create a forecast
- Use Clustering
- Use Outlier Identification
- Use Answers to build an Analysis
- Publish Multiple Analyses in a Dashboard
- Create pixel perfect reports
- Manage content in the Catalog
- Troubleshoot OBIEE/BI Publisher Connection
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