The Importance Of Microsoft Power BI Data Analyst Certification Exam For A Career In IT
The world of IT is changing rapidly. The demand for skilled professionals has reached its peak. With the increase in number of software companies, the competition has also increased. There are a lot of opportunities for professionals with high level skills. One such skill is Microsoft Power BI Data Analyst Certification Exam. This exam is designed to test your knowledge on data analysis concepts and also on different tools that you can use to solve problems related to data analysis.
There are many ways to get certified as a data analyst or BI professional. You can go through a formal education program or attend classes offered by various institutions and organizations. However, if you want to ensure that you get the best job opportunities and get hired easily, then getting certified is what you need to do. Here at Prep4SureReview our Microsoft PL-300 Dumps will help you to get certified. Basic measures of column chart scenario have scenario based questions that shared dataset of calculated table.
Skills measured
- Deploy and maintain assets (20-25%)
- Prepare the data (15-20%)
- Download the study guide in the preceding “Tip” box for more details about the skills measured on this exam.
- Model the data (30-35%)
- Visualize and analyze the data (25-30%)
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
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Microsoft Power BI Data Analyst Exam Certification Details:
| Books / Training | Course PL-300T00: Microsoft Power BI Data Analyst |
| Duration | 180 mins |
| Sample Questions | Microsoft Power BI Data Analyst Sample Questions |
| Exam Name | Microsoft Certified - Power BI Data Analyst Associate |
| Exam Price | $165 (USD) |
| Number of Questions | 40-60 |
| Passing Score | 700 / 1000 |
| Schedule Exam | Pearson VUE |
| Exam Code | PL-300 |
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Efficient study plan
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Microsoft PL-300 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare the Data | 10-15% | - Get data from various data sources
|
| Topic 2: Manage and Maintain Workspace Items | 10-15% | - Manage datasets
|
| Topic 3: Model the Data | 25-30% | - Design a data model
|
| Topic 4: Analyze the Data | 10-15% | - Work with metrics in Power BI
|
| Topic 5: Visualize the Data | 25-30% | - Enhance reports for user experience
|







