Exam Code: 070-778
Exam Name: Analyzing and Visualizing Data with Power BI
Certification Provider: Microsoft
Corresponding Certification: Microsoft Power BI

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Updated: Aug 03, 2026

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Exam 70-778: Analyzing and Visualizing Data with Microsoft Power BI

This exam retired on January 31, 2021. For currently available options, please refer to the Browse Certifications and Exams page.

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

Download exam skills outline

Reference: https://www.microsoft.com/en-us/learning/exam-70-778.aspx

Who should take the 70-778 exam

The Analyzing and Visualizing Data with Microsoft Power BI 70-778 Exam certification is an internationally recognized validation that identifies persons who earn it as possessing skilled as a Microsoft Certified Solutions Associate. If candidates want significant improvement in career growth needs enhanced knowledge, skills, and talents. The Analyzing and Visualizing Data with Microsoft Power BI 70-778 Exam certification provides proof of this advanced knowledge and skill. If a candidate has knowledge of associated technologies and skills that are required to pass Analyzing and Visualizing Data with Microsoft Power BI 70-778 Exam then he should take this exam.

Microsoft 070-778 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	Analyzing and Visualizing Data with Microsoft Power BI
Exam Number:	70-778
Passing Score:	700 (on a 1000-point scale)
Real Exam Qty:	40-60 (varies)
Exam Format:	Multiple choice, Case studies, Build/list/active screen questions
Certificate Validity Period:	Retired (previously certification valid for 2 years under MCSA framework)
Exam Duration:	120 minutes
Related Certifications:	MCSA: BI Reporting Microsoft Certified: Data Analyst Associate (PL-300 replacement path)
Exam Price:	USD 165 (may vary by region)
Available Languages:	English, Japanese, Simplified Chinese, Korean, German, French, Spanish
Recommended Training:	Microsoft Learn Power BI Learning Paths
Exam Registration:	Pearson VUE Microsoft Exams Microsoft Certification Portal
Sample Questions:	Microsoft 070-778 Sample Questions
Exam Way:	Online proctored or onsite via Pearson VUE testing centers
Pre Condition:	No formal prerequisites. Recommended: experience with data analysis and Power BI, or prior MCSA: BI Reporting knowledge.
Official Syllabus URL:	https://learn.microsoft.com/en-us/credentials/certifications/retired-certifications

Skills measured

Modeling and Visualizing Data (45-50%)
Configure Dashboards, Reports and Apps in the Power BI Service (25-35%)
Consuming and Transforming Data By Using Power BI Desktop (20-25%)

Microsoft 070-778 Exam Syllabus Topics:

Section	Objectives
Model the Data	- Create data models 1. Relationships and cardinality 2. Star schema design - Optimize model performance 1. Data reduction techniques 2. DAX optimization basics
Visualize Data	- Enhance visualizations 1. Custom visuals and formatting 2. Slicers and filters - Create reports and dashboards 1. Charts, tables, and maps 2. Interactive report design
Prepare the Data	- Get data from various sources 1. Connect to data sources in Power BI Desktop 2. Import vs DirectQuery modes - Clean, transform, and load data 1. Data shaping and profiling 2. Power Query Editor transformations
Deploy and Maintain Deliverables	- Manage and secure data 1. Data refresh and gateways 2. Row-level security (RLS) - Publish and share content 1. Power BI Service publishing 2. Workspaces and apps
Analyze the Data	- DAX calculations 1. Time intelligence functions 2. Calculated columns and measures - Data insights 1. AI-powered insights in Power BI 2. Trend analysis

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