Microsoft 70-778 dumps - in .pdf

70-778 pdf
  • Exam Code: 70-778
  • Exam Name: Analyzing and Visualizing Data with Power BI
  • Q & A: 155 Questions and Answers
  • PDF Price: $59.99

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  • Exam Code: 70-778
  • Exam Name: Analyzing and Visualizing Data with Power BI
  • Q & A: 155 Questions and Answers
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Microsoft 70-778 dumps - Testing Engine

70-778 Testing Engine
  • Exam Code: 70-778
  • Exam Name: Analyzing and Visualizing Data with Power BI
  • Q & A: 155 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

About Microsoft Analyzing and Visualizing Data with Power BI : 70-778 Exam Braindumps

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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

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.

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

Microsoft 70-778 Exam Syllabus Topics:

SectionObjectives
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
          Model the Data- Create data models
          • 1. Star schema design
            • 2. Relationships and cardinality
              - Optimize model performance
              • 1. DAX optimization basics
                • 2. Data reduction techniques
                  Analyze the Data- DAX calculations
                  • 1. Calculated columns and measures
                    • 2. Time intelligence functions
                      - Data insights
                      • 1. Trend analysis
                        • 2. AI-powered insights in Power BI
                          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
                                  Deploy and Maintain Deliverables- Publish and share content
                                  • 1. Workspaces and apps
                                    • 2. Power BI Service publishing
                                      - Manage and secure data
                                      • 1. Data refresh and gateways
                                        • 2. Row-level security (RLS)

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