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Microsoft Power BI Data Analyst Exam Certification Details:

Duration180 mins
Exam CodePL-300
Exam NameMicrosoft Certified - Power BI Data Analyst Associate
Books / TrainingCourse PL-300T00: Microsoft Power BI Data Analyst
Schedule ExamPearson VUE
Passing Score700 / 1000
Sample QuestionsMicrosoft Power BI Data Analyst Sample Questions
Exam Price$165 (USD)
Number of Questions40-60

Introduction of Microsoft PL-300 Exam

Microsoft offers a wide range of certifications to enhance your knowledge in various areas of IT. The Microsoft Power BI Data Analyst Certification Exam is one of the most popular and sought-after Microsoft certification exams which aims to develop your skills as a data analyst by providing you with an opportunity to learn about basic business intelligence concepts, data analysis techniques and tools that can be used for building data models. Microsoft PL-300 Dumps are the best way to pass your exam.

The Microsoft certification exams enable you to validate your knowledge and skills in the system. If you have a job, it helps you to get promoted. The certification is a must-have for IT professionals. Microsoft Power BI Data Analyst Certification Exam is an exam designed by Microsoft for data analysts who are interested in gaining knowledge of the Microsoft Azure cloud platform and Power BI suite tools. The exam tests your ability to design, develop, and implement analytical solutions using Excel, Power Pivot, Power View and other related tools.

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

Is Microsoft Power BI Data Analyst Certification Exam Worth It

There are many IT certifications available in the market today, but if you are looking for a job as a data analyst then you should give this certification a chance. This certification will help you to stand out from the crowd and get hired easily by many companies. Microsoft Power BI Data Analyst Certification Exam is the most valuable certification program for IT professionals in their respective fields. Microsoft PL-300 Dumps is a must-have certificate for all IT professionals who want to pursue their career in the field of data analytics.

The Microsoft Power BI Data Analyst Certification Exam is a certification exam that will help you to demonstrate your expertise in using the Microsoft Power BI platform. This exam tests the candidate's ability to analyze data with Power BI and create reports that are accurate, insightful and easy to read. Once you pass this exam, you will receive a certificate that shows your competence in performing these tasks. The certificate is valid for three years, so if you want to keep your skills up-to-date then you should take additional training during this time period.

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Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
Manage and Maintain Workspace Items10-15%- Manage datasets
  • 1. Manage dataset refresh scheduling
  • 2. Resolve dataset permission issues
  • 3. Manage gateways and data sources
  • 4. Configure dataset metadata and properties
- Create and manage workspaces
  • 1. Configure content certification
  • 2. Publish and update a Power BI app
  • 3. Endorse sensitive content with sensitivity labels
  • 4. Configure workspace membership and roles
Model the Data25-30%- Develop the data model
  • 1. Configure table relationships
  • 2. Create common date tables
  • 3. Use the calculation group feature
  • 4. Create calculated tables and columns
  • 5. Implement row-level security roles
  • 6. Build hierarchies and hierarchical fields
- Design a data model
  • 1. Define tables and table schemas
  • 2. Design a star schema or snowflake schema
  • 3. Apply field metadata and groupings
  • 4. Resolve performance issues with relationships
  • 5. Implement row-level security
  • 6. Determine the appropriate granularity
- Create measures and DAX calculations
  • 1. Implement context transition
  • 2. Write and use basic DAX syntax
  • 3. Use Time Intelligence functions
  • 4. Use CALCULATE and FILTER functions
  • 5. Create calculated measures
  • 6. Create semi-additive measures
- Optimize model performance
  • 1. Improve user experience by hiding objects
  • 2. Optimize Dax queries
  • 3. Configure aggregations
  • 4. Validate performance and resolve issues
  • 5. Optimize DirectQuery models
Prepare the Data10-15%- Clean, transform, and load the data
  • 1. Resolve data quality issues
  • 2. Configure data loading and queries
  • 3. Determine proper data types
  • 4. Profile the data
  • 5. Design and build intermediate tables
  • 6. Identify the data structure
  • 7. Apply user-friendly naming conventions to columns and tables
- Get data from various data sources
  • 1. Use Microsoft Fabric and OneLake
  • 2. Select a shared dataset or create a local copy
  • 3. Choose between DirectQuery, Import, and Dual storage modes
  • 4. Configure dataset refresh
  • 5. Change data source settings
  • 6. Identify and connect to a data source
Visualize the Data25-30%- Enrich reports with advanced visuals
  • 1. Integrate Microsoft Copilot for Power BI
  • 2. Create custom visuals
  • 3. Configure R and Python visuals
  • 4. Use dynamic page navigation
- Build visuals
  • 1. Apply sorting and filtering to visuals
  • 2. Determine the appropriate visual type
  • 3. Configure data colors and shapes
  • 4. Apply AI insights and enhanced analytics
  • 5. Configure visual interactions and cross-filtering
  • 6. Format and configure pages and report backgrounds
- Enhance reports for user experience
  • 1. Add accessibility features and compliance
  • 2. Design for mobile and specific layouts
  • 3. Apply artistic formatting to visuals
  • 4. Add tooltips and navigation
Analyze the Data10-15%- Work with metrics in Power BI
  • 1. Define and monitor KPIs
  • 2. Create metrics using Microsoft measurements
  • 3. Use the Decomposition Tree visual
  • 4. Track goals with scorecards
- Perform analysis in Power BI
  • 1. Configure auto-insights
  • 2. Generate Pinn visual insights
  • 3. Identify patterns and trends
  • 4. Apply Quick Insights
  • 5. Use the Q&A visual

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