As a candidate for this exam, you should deliver actionable insights by working with available data and applying domain expertise. You should:
- Provide meaningful business value through easy-to-comprehend data visualizations.
- Enable others to perform self-service analytics.
- Deploy and configure solutions for consumption.
As a Power BI data analyst, you work closely with business stakeholders to identify business requirements. You collaborate with enterprise data analysts and data engineers to identify and acquire data. You use Power BI to:
- Transform the data.
- Create data models.
- Visualize data.
- Share assets.
You should be proficient at using Power Query and writing expressions by using Data Analysis Expressions (DAX). You know how to assess data quality. Plus, you understand data security, including row-level security and data sensitivity.
You may be eligible for ACE college credit if you pass this certification exam. See ACE college credit for certification exams for details.
The English language version of this exam was updated on October 27, 2023. Review the study guide linked in the “Tip” box for details about the latest changes. If a localized version of this exam is available, it will be updated approximately eight weeks after this date. While Microsoft makes every effort to update localized versions as noted, there may be times when the localized versions of this exam are not updated on this schedule.
Passing score: 700. Learn more about exam scores.
Part of the requirements for: Microsoft Certified: Power BI Data Analyst Associate
Related exams: noneGo to Learn Profile
- The English language version of this exam was updated on October 27, 2023. Review the study guide linked in the preceding “Tip” box for details about the skills measured and latest changes.
- Prepare the data (25–30%)
- Model the data (25–30%)
- Visualize and analyze the data (25–30%)
- Deploy and maintain assets (15–20%)
Two ways to prepare
As a Power BI data analyst, you work closely with business stakeholders to identify business requirements. You collaborate with enterprise data analysts and data engineers to identify and acquire data.
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