Microsoft DA-100 Deutsch dumps - in .pdf

DA-100 Deutsch pdf
  • Exam Code: DA-100 Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Updated: Sep 13, 2026
  • Q & A: 150 Questions and Answers
  • PDF Price: $69.99

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  • Exam Code: DA-100 Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Updated: Sep 13, 2026
  • Q & A: 150 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $139.98  $89.99
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Microsoft DA-100 Deutsch dumps - Testing Engine

DA-100 Deutsch Testing Engine
  • Exam Code: DA-100 Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Updated: Sep 13, 2026
  • Q & A: 150 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

About Microsoft DA-100 Deutsch Instant Exam Download

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Instant Download DA-100 Deutsch Exam

The Microsoft DA-100-Deutsch exam requires a solid understanding of data analysis concepts, data modeling, DAX expressions, and data visualization techniques. Candidates are expected to have experience working with Excel, SQL, and Power BI Desktop. Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) certification demonstrates that a candidate has the skills necessary to create meaningful insights from data using Power BI, and can help them stand out in a competitive job market.

The Microsoft DA-100 exam (Analyzing Data with Microsoft Power BI) is intended for data analysts and is the only test required to obtain the Microsoft Certified: Data Analyst Associate certificate.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100

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Microsoft DA-100 (Analyzing Data with Microsoft Power BI) Exam is a certification exam designed for individuals who want to develop expertise in analyzing, transforming, and visualizing data using Microsoft Power BI. DA-100-Deutsch exam validates the knowledge and experience of candidates in using advanced techniques to create effective and interactive data visualizations. DA-100-Deutsch exam covers a wide range of topics such as data visualization, data modeling, data transformation, data analysis, and data cleaning.

Microsoft DA-100 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deploy and maintain deliverables10-15%- Secure and share content
  • 1. Share dashboards with users and groups
    • 2. Implement row-level security (RLS)
      - Manage workspaces and datasets
      • 1. Publish reports to Power BI Service
        • 2. Configure dataset refresh schedules
          Topic 2: Analyze the data10-15%- Perform advanced analytics
          • 1. Apply statistical measures in reports
            • 2. Use DAX time intelligence functions
              - Analyze data patterns
              • 1. Use AI visuals and quick insights
                • 2. Identify trends and outliers
                  Topic 3: Visualize the data25-30%- Enhance reports
                  • 1. Use bookmarks and navigation elements
                    • 2. Apply filters, slicers, and drill-through
                      - Create reports
                      • 1. Design interactive reports in Power BI Desktop
                        • 2. Use visuals such as charts, maps, and tables
                          Topic 4: Model the data25-30%- Create calculated columns and measures
                          • 1. Use DAX for calculations
                            • 2. Optimize model performance
                              - Design data models
                              • 1. Create relationships between tables
                                • 2. Design star and snowflake schemas
                                  Topic 5: Prepare the data20-25%- Clean and transform data
                                  • 1. Use Power Query Editor for data shaping
                                    • 2. Handle missing, duplicate, and inconsistent data
                                      - Get data from data sources
                                      • 1. Select appropriate storage modes (Import, DirectQuery, Composite)
                                        • 2. Connect to data sources (files, databases, cloud services)

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