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

  • Exam Code: 070-778-KR
  • Exam Name: Analyzing and Visualizing Data with Power BI (070-778 Korean Version)
  • Updated: Aug 02, 2026
  • Q & A: 155 Questions and Answers

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70-778 Exam topics

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our 70-778 exam dumps will include the following topics:

  • Consuming and Transforming Data By Using Power BI Desktop
  • Modeling and Visualizing Data
  • Configure Dashboards, Reports, and Apps in the Power BI Service

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

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How to book the 70-778 Exam

These are following steps for registering the 70-778 exam. Step 1: Visit to Microsoft Exam Registration Step 2: Signup/Login to MICROSOFT account Step 3: Search for MICROSOFT 70-778 Certifications Exam Step 4: Select Date and Center of examination and confirm with payment value of $165

Microsoft 070-778 Korean Exam Syllabus Topics:

SectionObjectives
Topic 1: Deploy and Maintain Deliverables- Publish and share content
  • 1. Power BI Service publishing
    • 2. Workspaces and apps
      - Manage and secure data
      • 1. Data refresh and gateways
        • 2. Row-level security (RLS)
          Topic 2: 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. Power Query Editor transformations
                • 2. Data shaping and profiling
                  Topic 3: Model the Data- Create data models
                  • 1. Star schema design
                    • 2. Relationships and cardinality
                      - Optimize model performance
                      • 1. Data reduction techniques
                        • 2. DAX optimization basics
                          Topic 4: 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
                                  Topic 5: 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

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