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What is the duration of the 70-778 Exam

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

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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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Microsoft 70-778 Korean Exam Syllabus Topics:

SectionObjectives
Topic 1: 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 2: Visualize Data- Enhance visualizations
          • 1. Custom visuals and formatting
            • 2. Slicers and filters
              - Create reports and dashboards
              • 1. Charts, tables, and maps
                • 2. Interactive report design
                  Topic 3: Deploy and Maintain Deliverables- Publish and share content
                  • 1. Power BI Service publishing
                    • 2. Workspaces and apps
                      - Manage and secure data
                      • 1. Row-level security (RLS)
                        • 2. Data refresh and gateways
                          Topic 4: Model the Data- Create data models
                          • 1. Relationships and cardinality
                            • 2. Star schema design
                              - Optimize model performance
                              • 1. Data reduction techniques
                                • 2. DAX optimization basics
                                  Topic 5: 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. Data shaping and profiling
                                        • 2. Power Query Editor transformations

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