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Microsoft 070-778 valid exam - in .pdf Free Demo

  • Exam Code: 070-778
  • Exam Name: Analyzing and Visualizing Data with Power BI
  • Last Updated: Aug 23, 2026
  • Q & A: 155 Questions and Answers
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  • PDF Price: $59.98    

Microsoft 070-778 valid exam - Testing Engine PC Screenshot

  • Exam Code: 070-778
  • Exam Name: Analyzing and Visualizing Data with Power BI
  • Last Updated: Aug 23, 2026
  • Q & A: 155 Questions and Answers
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To prepare for the exam, Microsoft recommends that you have experience with Power BI Desktop, the Power BI service, and Excel. You should also have a good understanding of data analysis and visualization concepts, as well as experience working with data from different sources. Microsoft offers a variety of training courses and resources to help you prepare for the exam, including online courses, practice exams, and study guides.

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To prepare for the Microsoft 070-778 Exam, candidates can enroll in training courses and self-study programs. Microsoft offers various resources, such as online courses, tutorials, and practice exams, to help candidates prepare for the exam. Additionally, candidates can also gain practical experience by working with Power BI tools and technologies in real-world scenarios, which can enhance their chances of passing the exam and obtaining the certification.

The Microsoft 070-778 exam covers a wide range of topics related to data analysis and visualization. You will need to be familiar with data modeling, data cleansing, and data transformation techniques. You will also need to understand how to use Power BI Desktop to create reports and dashboards, and how to publish those reports to the Power BI service. In addition, you will need to be able to use the DAX language to create custom calculations and measures.

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

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Microsoft 070-778 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. Import vs DirectQuery modes
        • 2. Connect to data sources in Power BI Desktop
          Deploy and Maintain Deliverables- Publish and share content
          • 1. Workspaces and apps
            • 2. Power BI Service publishing
              - Manage and secure data
              • 1. Row-level security (RLS)
                • 2. Data refresh and gateways
                  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
                          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
                                  Model the Data- Optimize model performance
                                  • 1. DAX optimization basics
                                    • 2. Data reduction techniques
                                      - Create data models
                                      • 1. Star schema design
                                        • 2. Relationships and cardinality

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