Microsoft 70-778 Korean Exam Details & Actual Exam Questions

  • Exam Code/Number: 70-778 Korean
  • Exam Name/Title: Analyzing and Visualizing Data with Power BI (70-778 Korean Version)
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Power BI
  • Exam Questions: 155
  • Updated On: Sep,02 2026
  • Certification Level: Associate

Microsoft Analyzing and Visualizing Data with Power BI (70-778 Korean Version) Exam Questions

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Microsoft 70-778 Korean Exam Overview:

Certification Vendor:Microsoft
Exam Name:Analyzing and Visualizing Data with Microsoft Power BI
Exam Number:70-778
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
Exam Price:USD 165 (may vary by region)
Available Languages:English, French, German, Spanish, Japanese, Simplified Chinese, Korean
Related Certifications:Microsoft Certified: Data Analyst Associate (PL-300 replacement path)
MCSA: BI Reporting
Passing Score:700 (on a 1000-point scale)
Recommended Training:Microsoft Learn Power BI Learning Paths
Exam Registration:Microsoft Certification Portal
Pearson VUE Microsoft Exams
Sample Questions:Microsoft 70-778 Korean 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

Microsoft 70-778 Korean Exam Syllabus Topics:

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


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