About Prep4sures Microsoft PL-300 Korean Exam
What is the exam cost of the Microsoft Power BI Data Analyst Certification Exam
The cost of the Microsoft Power BI Data Analyst Certification Exam is 165 USD.
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
For more info visit:
Microsoft Power BI Data Analyst Certification Exam Reference
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Microsoft Power BI Data Analyst Exam Certification Details:
| Exam Code | PL-300 |
| Exam Name | Microsoft Certified - Power BI Data Analyst Associate |
| Exam Price | $165 (USD) |
| Schedule Exam | Pearson VUE |
| Sample Questions | Microsoft Power BI Data Analyst Sample Questions |
| Number of Questions | 40-60 |
| Passing Score | 700 / 1000 |
| Books / Training | Course PL-300T00: Microsoft Power BI Data Analyst |
| Duration | 180 mins |
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Microsoft PL-300 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare the data | 15-20% | - Clean, transform, and load data
|
| Topic 2: Deploy and maintain assets | 15-20% | - Secure and monitor Power BI
|
| Topic 3: Visualize and analyze data | 25-35% | - Create reports and dashboards
|
| Topic 4: Model the data | 30-40% | - Develop a data model
|




