Microsoft 070-776 Exam Details & Actual Exam Questions

  • Exam Code/Number: 070-776
  • Exam Name/Title: Engineering Data with Microsoft Cloud Services
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Azure SQL Data Warehous
  • Exam Questions: 92
  • Updated On: Jul,17 2026
  • Certification Level: Associate

Microsoft Engineering Data with Microsoft Cloud Services Exam Questions

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Microsoft 070-776 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Analyzing and Visualizing Data with Microsoft Power BI
Exam Number:70-776
Certificate Validity Period:Retired (no longer available)
Passing Score:700 (out of 1000)
Available Languages:English, Japanese, Chinese (Simplified), German, French, Spanish
Real Exam Qty:40-60
Exam Price:USD 165 (may vary by country)
Related Certifications:MCSA: BI Reporting
Exam Format:Multiple Choice, Multiple Response, Case Study, Lab/Simulation
Exam Duration:120 minutes
Sample Questions:Microsoft 070-776 Sample Questions
Exam Way:Available via online proctored exam or onsite testing center (Pearson VUE)
Pre Condition:No formal prerequisites, but experience with Power BI and data modeling is recommended
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/70-776/

Microsoft 070-776 Exam Syllabus Topics:

SectionObjectives
Model the Data- Create data models
  • 1. Define relationships between tables
    • 2. Star schema design principles
      - Create calculated columns and measures
      • 1. DAX basics for calculated fields
        • 2. Time intelligence functions
          Deploy and Maintain Deliverables- Publish and manage reports
          • 1. Power BI Service publishing
            • 2. Workspaces and app distribution
              - Security and governance
              • 1. Row-level security (RLS)
                • 2. Data refresh and gateway configuration
                  Prepare the Data- Clean, transform, and load data
                  • 1. Data type configuration and transformation
                    • 2. Data shaping and cleansing techniques
                      - Get data from different sources
                      • 1. Connect to data sources in Power BI Desktop
                        • 2. Import and transform data using Power Query
                          Analyze the Data- Advanced analytics
                          • 1. Statistical summarization techniques
                            • 2. What-if parameters
                              - Perform data analysis
                              • 1. Identify trends and patterns
                                • 2. Use AI visuals and insights
                                  Visualize the Data- Create reports and dashboards
                                  • 1. Build interactive dashboards
                                    • 2. Select appropriate visualizations
                                      - Enhance report usability
                                      • 1. Filters, slicers, and drill-through
                                        • 2. Custom visuals and formatting


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