Microsoft 070-778 Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Analyzing and Visualizing Data with Microsoft Power BI |
| Exam Number: | 70-778 |
| Exam Price: | USD 165 |
| Passing Score: | 700 (on a scale of 1000) |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 120 minutes |
| Related Certifications: | MCSA: BI Reporting (requires 70-778 and other exams) |
| Exam Format: | Multiple Choice, Short Answer, Drag and Drop |
| Certificate Validity Period: | Retired (Exam retired January 31, 2021; superseded by DA-100 / PL-300) |
| Available Languages: | English |
| Sample Questions: | Microsoft 070-778 Sample Questions |
| Exam Way: | Delivered via Pearson VUE testing or online proctored; retired as of January 31, 2021, replaced by role-based exam (e.g., DA-100 / PL-300). |
| Pre Condition: | Recommended experience with Power BI Desktop and Power BI Service, data analysis and visualization tasks. |
| Official Syllabus URL: | https://learn.microsoft.com/ |
Exam 70-778: Analyzing and Visualizing Data with Microsoft Power BI
Candidates for this exam should have a good understanding of how to use Power BI to perform data analysis. Candidates should be proficient in connecting to data sources and performing data transformations, modeling and visualizing data by using Microsoft Power BI Desktop, and configuring dashboards by using the Power BI service. Candidates should also be proficient in implementing direct connectivity to Microsoft SQL Azure and SQL Server Analysis Services (SSAS), and implementing data analysis in Microsoft Excel. Candidates may include BI professionals, data analysts, and other roles responsible for creating reports by using Power BI.
Part of the requirements for: MCSA: BI Reporting
Reference: https://www.microsoft.com/en-us/learning/exam-70-778.aspx
For more info visit:
Microsoft 70-778 Exam Reference
Microsoft 070-778 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model and Visualize Data | - Data Modeling and DAX
|
| Configure Dashboards, Reports and Apps | - Power BI Service Integration
|
| Consume and Transform Data | - Connect to Data Sources
|

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