PL-300 Certification

The PL-300 certification exam from Microsoft validates your ability to analyze data using Power BI, certifying you as a Power BI Data Analyst. 🧑‍🎓

The exam covers essential skills and key components such as data preparation, modeling, visualization, and security in Power BI. The key skills required for the PL-300 exam include:

Prepare the data (25–30%)
Model the data (25–30%)
Visualize and analyze the data (25–30%)
Manage and secure Power BI (15–20%)

This page provides a comprehensive overview of the key skills covered in the PL-300 exam. We provide step-by-step tutorials to each exam topic, helping you to prepare for the PL-300 certification exam and master the skills needed to become a certified Power BI Data Analyst. 🚀

Microsoft Fabric Book

We are delighted to publish a hands-on guide to implementing end-to-end data projects in Microsoft Fabric. This hands-on book walks you through the key components and functionalities of Microsoft Fabric and invites you to actively follow the steps yourself. Numerous visual elements are used to make learning even clearer. The explanations are illustrated by a fictional story about a futuristic data factory that symbolizes Microsoft Fabric.

View on Amazon

🛠️ Prepare the data (25–30%)

Get or connect to data

Identify and connect to data sources or a shared semantic model
Change data source settings, including credentials and privacy levels
Choose between DirectQuery and Import
Create and modify parameters

Profile and clean the data

Evaluate data, including data statistics and column properties
Resolve inconsistencies, unexpected or null values, and data quality issues
Resolve data import errors

Transform and load the data

Select appropriate column data types
Create and transform columns
Group and aggregate rows
Pivot, unpivot, and transpose data
Convert semi-structured data to a table
Create fact tables and dimension tables
Identify when to use reference or duplicate queries and the resulting impact
Merge and append queries
Identify and create appropriate keys for relationships
Configure data loading for queries

📐 Model the data (25–30%)

Design and implement a data model

Configure table and column properties
Implement role-playing dimensions
Define a relationship's cardinality and cross-filter direction
Create a common date table
Identify use cases for calculated columns and calculated tables

Create model calculations by using DAX

Create single aggregation measures
Use the CALCULATE function
Implement time intelligence measures
Use basic statistical functions
Create semi-additive measures
Create a measure by using quick measures
Create calculated tables or columns
Create calculation groups

Optimize model performance

Improve performance by identifying and removing unnecessary rows and columns
Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view
Improve performance by reducing granularity

📊 Visualize and analyze the data (25–30%)

Create reports

Select an appropriate visual
Format and configure visuals
Apply and customize a theme
Apply conditional formatting
Apply slicing and filtering
Configure the report page
Choose when to use a paginated report
Create visual calculations by using DAX

Enhance reports for usability and storytelling

Configure bookmarks
Create custom tooltips
Edit and configure interactions between visuals
Configure navigation for a report
Apply sorting to visuals
Configure sync slicers
Group and layer visuals by using the Selection pane
Configure drillthrough navigation
Configure export settings
Design reports for mobile devices
Enable personalized visuals in a report
Design and configure Power BI reports for accessibility
Configure automatic page refresh

Identify patterns and trends

Use the Analyze feature in Power BI
Use grouping, binning, and clustering
Use AI visuals
Use reference lines, error bars, and forecasting
Detect outliers and anomalies

🔐 Manage and secure Power BI (15–20%)

Create and manage workspaces and assets

Create and configure a workspace
Configure and update a workspace app
Publish, import, or update items in a workspace
Create dashboards
Choose a distribution method
Configure subscriptions and data alerts
Promote or certify Power BI content
Identify when a gateway is required
Configure a semantic model scheduled refresh

Secure and govern Power BI items

Assign workspace roles
Configure item-level access
Configure access to semantic models
Implement row-level security roles
Configure row-level security group membership
Apply sensitivity labels