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Passing Score, Duration & Questions For Microsoft PL-300 Exam

• The passing score: 700

• Number of Questions: 40-60 questions

• Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

• Time Duration: 180 minutes

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

Prerequisites of Microsoft Power BI Data Analyst Certification Exam

The Microsoft Power BI Data Analyst Certification Exam is a test which assesses your ability to have a high-level understanding of the data analysis process, including collecting, analyzing and visualizing data. It is a certification that will help you gain the required skills to be able to work with business intelligence solutions and tools. To be eligible to take this exam, you must meet the following prerequisites:

• You have at least one year of experience using Power BI Desktop.

• You have at least one year of experience using Power Query in Excel, or an equivalent experience using another data analysis tool.

• You have at least one year of experience working with relational databases, such as SQL Server or Oracle. In addition, you should have a basic understanding of how to create queries and reports using SQL Server Management Studio or Toad Data Point.

• You are a professional data analyst with 2-4 years of work experience or an IT professional with 2-4 years of experience.

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What are the special features of the Microsoft Power BI Data Analyst Certification Exam

The Microsoft Power BI Data Analyst Certification Exam will help you prepare for the new job role of a data analyst. A certified Data Analyst can use this exam to prove their skills in using Power BI to analyze business data, generate insightful visualizations, and share them with customers. Microsoft PL-300 Dumps is designed to test your knowledge of business data modeling, data analysis and visualization, and dashboard development in Power BI. The exam will cover the following topics:

• Developing dashboards that provide actionable insights into business performance

• Creating custom data models that support analysis and reporting requirements

• Understanding business context, including organizational strategy and objectives

• Identifying sources of data that can contribute to achieving business goals

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