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Microsoft 070-778 Korean

070-778-KR

Exam Code: 070-778-KR

Exam Name: Analyzing and Visualizing Data with Power BI (070-778 Korean Version)

Updated: Jul 31, 2026

Q & A: 155 Questions and Answers

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About Microsoft 070-778 Korean Exam

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

Analyzing and Visualizing Data with Microsoft Power BI 70-778 Exam which is related to Microsoft Certified Solutions Associate Certification. This exam validates the ability to connect to data sources and perform data transformations, modeling and visualizing data by using Microsoft Power BI Desktop and configure dashboards by using the Power BI service. Microsoft Certified Solutions Associate usually hold or pursue this certification and you can expect the same job role after completion of this certification.

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

How much 70-778 Exam Cost

The price of the 70-778 exam is $165 USD.

What is the duration of the 70-778 Exam

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

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Microsoft 070-778 Korean Exam Syllabus Topics:

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

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