PL-300 Microsoft Power BI Data Analyst

Configure table and column properties

Implement role-playing dimensions

Define a relationship’s cardinality and cross-filter direction

Create a common date table

Implement row-level security roles

Create single aggregation measures

Use CALCULATE to manipulate filters

Implement time intelligence measures

Identify implicit measures and replace with explicit measures

Use basic statistical functions

Create semi-additive measures

Create a measure by using quick measures

Create calculated tables

Improve performance by identifying and removing unnecessary rows and columns

Identify poorly performing measures, relationships, and visuals by using Performance Analyzer

Improve performance by choosing optimal data types
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