Design and build composite models, including aggregations
Design and implement enterprise-scale row-level security and object-level security
Identify and implement performance improvements in queries and report visuals
Troubleshoot DAX performance by using DAX Studio
Optimize a data model by using Tabular Editor 2
Analyze data model efficiency by using VertiPaq Analyzer
Implement incremental refresh (including the use of query folding)
Optimize a data model by using denormalization
Explore data by using native visuals in Spark notebooks
Explore and visualize data by using the Azure Synapse SQL results pane
Create and import a custom report theme
Create R or Python visuals in Power BI
Connect to and query datasets by using the XMLA endpoint
Design and configure Power BI reports for accessibility
Enable personalized visuals in a report
Configure automatic page refresh