Understanding Microsoft Power BI Data Analyst Certification Exam Topics
Microsoft Power BI Data Analyst Certification Exam Topics are below:
- Model the data (30-35%)
- Prepare the data (15-20%)
- Visualize and analyze the data (25-30%)
- Deploy and maintain assets (20-25%)
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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.
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Skills measured
- Model the data (30-35%)
- Prepare the data (15-20%)
- Download the study guide in the preceding “Tip” box for more details about the skills measured on this exam.
- Visualize and analyze the data (25-30%)
- Deploy and maintain assets (20-25%)
Passing Score, Duration & Questions For Microsoft PL-300 Exam
The passing score: 700
Number of Questions: 40-60 questions
Time Duration: 180 minutes
Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
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Microsoft PL-300 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Model the Data | 25-30% | - Develop the data model
|
| Manage and Maintain Workspace Items | 10-15% | - Manage datasets
|
| Visualize the Data | 25-30% | - Enrich reports with advanced visuals
|
| Prepare the Data | 10-15% | - Get data from various data sources
|
| Analyze the Data | 10-15% | - Work with metrics in Power BI
|







