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

  • Exam Code: 70-778-KR
  • Exam Name: Analyzing and Visualizing Data with Power BI (70-778 Korean Version)
  • Updated: Aug 03, 2026
  • Q & A: 155 Questions and Answers

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Microsoft 70-778 Exam Reference

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

What is the duration of the 70-778 Exam

  • Passing Score: 700/1000
  • Number of Questions: 45-60
  • Format: Multiple choices, multiple answers
  • Length of Examination: 150 minutes

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.

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Microsoft 70-778 Korean Exam Syllabus Topics:

SectionObjectives
Topic 1: Model the Data- Optimize model performance
  • 1. Data reduction techniques
    • 2. DAX optimization basics
      - Create data models
      • 1. Relationships and cardinality
        • 2. Star schema design
          Topic 2: Visualize Data- Enhance visualizations
          • 1. Custom visuals and formatting
            • 2. Slicers and filters
              - Create reports and dashboards
              • 1. Interactive report design
                • 2. Charts, tables, and maps
                  Topic 3: Analyze the Data- DAX calculations
                  • 1. Time intelligence functions
                    • 2. Calculated columns and measures
                      - Data insights
                      • 1. Trend analysis
                        • 2. AI-powered insights in Power BI
                          Topic 4: Deploy and Maintain Deliverables- Manage and secure data
                          • 1. Data refresh and gateways
                            • 2. Row-level security (RLS)
                              - Publish and share content
                              • 1. Workspaces and apps
                                • 2. Power BI Service publishing
                                  Topic 5: Prepare the Data- Clean, transform, and load data
                                  • 1. Power Query Editor transformations
                                    • 2. Data shaping and profiling
                                      - Get data from various sources
                                      • 1. Import vs DirectQuery modes
                                        • 2. Connect to data sources in Power BI Desktop

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