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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

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Microsoft 70-778 Exam Syllabus Topics:

SectionObjectives
Analyze the Data- DAX calculations
  • 1. Calculated columns and measures
    • 2. Time intelligence functions
      - Data insights
      • 1. AI-powered insights in Power BI
        • 2. Trend analysis
          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
                  Deploy and Maintain Deliverables- Manage and secure data
                  • 1. Row-level security (RLS)
                    • 2. Data refresh and gateways
                      - Publish and share content
                      • 1. Workspaces and apps
                        • 2. Power BI Service publishing
                          Prepare the Data- Clean, transform, and load data
                          • 1. Data shaping and profiling
                            • 2. Power Query Editor transformations
                              - Get data from various sources
                              • 1. Import vs DirectQuery modes
                                • 2. Connect to data sources in Power BI Desktop
                                  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

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