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The Analyzing and Visualizing Data with Microsoft Power BI Certification includes only one 70-778 exam.

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

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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:

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

Schedule exam

Languages: English

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.

Microsoft 070-778 Korean Exam Syllabus Topics:

SectionObjectives
Topic 1: Analyze the Data- Data insights
  • 1. Trend analysis
    • 2. AI-powered insights in Power BI
      - DAX calculations
      • 1. Calculated columns and measures
        • 2. Time intelligence functions
          Topic 2: 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 3: 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 4: 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
                                  Topic 5: 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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