The PL-300: Microsoft Power BI Data Analyst certification is a role-based credential from Microsoft. It is designed for professionals who leverage Power BI to help organizations make data-driven decisions. This certification validates your ability to prepare, model, visualize, and analyze data using Power BI and other Microsoft data services.

PL-300 is an associate-level certification aimed at Data Analysts, BI Developers, and professionals who create data models and dashboards for decision-making. The exam evaluates your skills in connecting to data sources, performing transformations, building data models, and delivering impactful reports through Power BI.

It is the successor to the DA-100 exam and remains the go-to certification for those working in self-service and enterprise business intelligence.

📚 Learn more from the official Microsoft PL-300 study guide

As outlined by Microsoft Learn, the PL-300 exam tests the following core skills:

Prepare the Data (15–20%)

• Identify and connect to data sources

• Perform data cleaning and transformation with Power Query

• Profile and verify the quality of data

Model the Data (30–35%)

• Design and implement data models

• Define and configure table relationships

• Implement measures using DAX

• Optimize model performance

Visualize and Analyze the Data (25–30%)

• Create reports and dashboards

• Enhance visualizations with formatting and interactivity

• Perform advanced analysis with slicers, filters, and drillthroughs

Deploy and Maintain Assets (20–25%)

• Manage files, datasets, and workspaces

• Configure row-level security (RLS)

• Set up scheduled refresh and data source credentials

This certification is ideal for:

• Data Analysts and Power BI Developers

• Business Intelligence Professionals building visual reports and dashboards

• Excel Users transitioning to Power BI for advanced reporting

• Professionals working with Microsoft Fabric, Power Platform, and Azure Data Services

• Anyone aiming to support data-driven decision making through visualization

The exam is structured around four major domains:

• Prepare the Data (15–20%)

• Model the Data (30–35%)

• Visualize and Analyze the Data (25–30%)

• Deploy and Maintain Assets (20–25%)

• Recognized globally for proficiency in Power BI and data analysis

• Qualifies you for roles like Data Analyst, BI Consultant, and Report Developer

• Enhances your credibility in organizations using Microsoft Power Platform

• Empowers you to build interactive dashboards, performance reports, and data models

• Boosts your ability to contribute to business intelligence strategies and actionable insights

A. Azure Data Lake
B. Azure Event Hubs
C. Azure Data Factory
D. Azure SQL Database

A. Azure HDInsight
B. Azure Databricks
C. Azure Functions
D. Azure Synapse Pipelines

A. SQL Server PolyBase
B. Serverless SQL Pools
C. Dedicated SQL Pools
D. Azure Analysis Services

A. Azure Cosmos DB
B. Azure Data Lake Storage Gen2
C. Azure SQL Managed Instance
D. Azure Table Storage

A. Azure Monitor
B. Azure Data Factory
C. Azure Purview
D. Azure Event Grid