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Microsoft DA-100 Deutsch valid - in .pdf

DA-100 Deutsch pdf
  • Exam Code: DA-100 Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • 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)
  • Q & A: 150 Questions and Answers
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Microsoft DA-100 Deutsch valid - Testing Engine

DA-100 Deutsch Testing Engine
  • Exam Code: DA-100 Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Q & A: 150 Questions and Answers
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Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Model the data

The following will be discussed in MICROSOFT DA-100 exam dumps:

  • Resolve many-to-many relationships
  • Implement Time Intelligence using DAX
  • Use CALCULATE to manipulate filters
  • Define quick measures
  • Create semi-additive measures
  • Define the appropriate level of data granularity
  • Create calculated columns
  • Remove unnecessary rows and columns
  • Create measures by using DAX
  • Develop a data model
  • Create hierarchies
  • Use basic statistical functions to enhance data
  • Design a data model
  • Create calculated tables
  • Improve cardinality levels by changing data types
  • Identify poorly performing measures, relationships, and visuals
  • Set up the Q&A feature
  • Define role-playing dimensions
  • Create a common date table
  • Optimize model performance
  • Implement row-level security roles
  • Configure table and column properties
  • Define the tables
  • Improve cardinality levels through summarization
  • Define a relationship's cardinality and cross-filter direction
  • Create and manage aggregations
  • Apply cross-filter direction and security filtering
  • Replace numeric columns with measures
  • Use DAX to build complex measures
  • Design the data model to meet performance requirements
  • Flatten out a parent-child hierarchy

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Conclusion: Getting Microsoft Certified Is Challenging But Possible!

The Microsoft Certified: Data Analyst Associate certificate will help secure a career as a data analyst, which will come with it a high paycheck and different career opportunities. However, achieving this certification won’t be easy as one needs to overcome DA-100 (Analyzing Data with Microsoft Power BI) exam. But, with a huge number of study guides available on Amazon and the official MS training course, passing this test is going to be that much easier.

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

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Microsoft DA-100 Deutsch Exam Syllabus Topics:

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