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Exam Code: PL-300

Exam Name: Microsoft Power BI Data Analyst

Updated: Aug 20, 2026

Number: 472 Q&As with Testing Engine

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What is the salary of the Microsoft Power BI Data Analyst Certified professional

The Average salary of different countries of Microsoft Power BI Data Analyst certified professionals:

United Kingdom; POUNDS 60,000
Canada; CAD 70,000
United States; USD 90,000
India; INR 500,000
Australia; AUD 75,000

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300

What are the steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam

The steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam are as follows:

After successful registration process, you will receive an email confirmation from Microsoft with all the details about your course including access code etc., which will be sent to your registered email ID provided during registration process.
You will see a list of courses that are available on this website. Select “Microsoft Power BI Data Analyst Certification Exam” and click on “Enroll Now” button.
Then you need to select your preferred payment method which includes credit card or PayPal account etc., and you will receive an email confirmation after successful payment using your credit card or PayPal account etc.
Go to the official website of Microsoft, and click on “Microsoft Learning”.
The next step is to fill out your personal information such as name, email address, country and state city etc., which is mandatory to complete your registration process successfully.

Exam PL-300: Microsoft Power BI Data Analyst

The Power BI data analyst delivers actionable insights by leveraging available data and applying domain expertise. The Power BI data analyst collaborates with key stakeholders across verticals to identify business requirements, cleans and transforms the data, and then designs and builds data models by using Power BI. The Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations, enables others to perform self-service analytics, and deploys and configures solutions for consumption. Candidates for this exam should be proficient using Power Query and writing expressions by using DAX.

Passing score: 700. Learn more about exam scores.

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Part of the requirements for: Microsoft Certified: Power BI Data Analyst Associate

Microsoft PL-300 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	Microsoft Power BI Data Analyst
Exam Number:	PL-300
Exam Format:	Multiple choice, Case study, Drag and drop, Short answer
Exam Price:	$165.00 USD
Passing Score:	700 (scaled score, passing not publicly disclosed)
Real Exam Qty:	40-60
Available Languages:	English, Japanese, Chinese (Simplified), Korean
Exam Duration:	120 minutes
Certificate Validity Period:	1 year
Related Certifications:	Microsoft Certified: Power BI Data Analyst Associate
Sample Questions:	Microsoft PL-300 Sample Questions
Exam Way:	Online proctored exam (Pearson VUE) or in-person testing center
Pre Condition:	No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam.
Official Syllabus URL:	https://learn.microsoft.com/en-us/certifications/exams/pl-300/

Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
Visualize the Data	25-30%	- Enrich reports with advanced visuals 1. Create custom visuals 2. Integrate Microsoft Copilot for Power BI 3. Use dynamic page navigation 4. Configure R and Python visuals - Enhance reports for user experience 1. Add accessibility features and compliance 2. Add tooltips and navigation 3. Design for mobile and specific layouts 4. Apply artistic formatting to visuals - Build visuals 1. Determine the appropriate visual type 2. Apply sorting and filtering to visuals 3. Format and configure pages and report backgrounds 4. Apply AI insights and enhanced analytics 5. Configure visual interactions and cross-filtering 6. Configure data colors and shapes
Prepare the Data	10-15%	- Get data from various data sources 1. Identify and connect to a data source 2. Choose between DirectQuery, Import, and Dual storage modes 3. Select a shared dataset or create a local copy 4. Change data source settings 5. Configure dataset refresh 6. Use Microsoft Fabric and OneLake - Clean, transform, and load the data 1. Identify the data structure 2. Profile the data 3. Apply user-friendly naming conventions to columns and tables 4. Resolve data quality issues 5. Determine proper data types 6. Design and build intermediate tables 7. Configure data loading and queries
Model the Data	25-30%	- Create measures and DAX calculations 1. Use CALCULATE and FILTER functions 2. Create calculated measures 3. Implement context transition 4. Create semi-additive measures 5. Write and use basic DAX syntax 6. Use Time Intelligence functions - Design a data model 1. Implement row-level security 2. Apply field metadata and groupings 3. Determine the appropriate granularity 4. Resolve performance issues with relationships 5. Define tables and table schemas 6. Design a star schema or snowflake schema - Develop the data model 1. Build hierarchies and hierarchical fields 2. Implement row-level security roles 3. Configure table relationships 4. Use the calculation group feature 5. Create calculated tables and columns 6. Create common date tables - Optimize model performance 1. Optimize Dax queries 2. Configure aggregations 3. Validate performance and resolve issues 4. Optimize DirectQuery models 5. Improve user experience by hiding objects
Manage and Maintain Workspace Items	10-15%	- Create and manage workspaces 1. Publish and update a Power BI app 2. Endorse sensitive content with sensitivity labels 3. Configure workspace membership and roles 4. Configure content certification - Manage datasets 1. Resolve dataset permission issues 2. Configure dataset metadata and properties 3. Manage gateways and data sources 4. Manage dataset refresh scheduling
Analyze the Data	10-15%	- Work with metrics in Power BI 1. Create metrics using Microsoft measurements 2. Use the Decomposition Tree visual 3. Track goals with scorecards 4. Define and monitor KPIs - Perform analysis in Power BI 1. Identify patterns and trends 2. Generate Pinn visual insights 3. Use the Q&A visual 4. Configure auto-insights 5. Apply Quick Insights

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100% Microsoft PL-300 Guaranteed Success With Testing Engine

Exam IntroProduct ScreenshotsFAQ

What is the salary of the Microsoft Power BI Data Analyst Certified professional

What are the steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam