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Microsoft Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) : DA-100 Deutsch

DA-100 Deutsch actual test
  • Exam Code: DA-100-Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Updated: Jul 21, 2026
  • Q & A: 150 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $69.99  

About Microsoft Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) : DA-100 Deutsch Exam

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

  • Recommend a development lifecycle strategy
  • Promote or certify Power BI content
  • Use deployment pipelines
  • Configure a dataset scheduled refresh
  • Manage datasets
  • Apply sensitivity labels to workspace content
  • Configure and update a workspace app
  • Publish, import, or update assets in a workspace
  • Identify downstream dataset dependencies
  • Create and manage workspaces
  • Create and configure a workspace
  • Configure incremental refresh settings
  • Providing access to datasets
  • Assign workspace roles
  • Configure row-level security group membership

For more info about Exam DA-100: Analyzing Data with Microsoft Power BI

Exam DA-100: Analyzing Data with Microsoft Power BI

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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

Microsoft DA-100 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Prepare the data20%- Profile the data
  • 1. Interpret data distribution and variance
  • 2. Identify data anomalies
  • 3. Examine data structures
- Clean the data
  • 1. Evaluate data, including data statistics and column properties
  • 2. Resolve data import errors
  • 3. Resolve inconsistencies, unexpected or null values, and data quality issues
- Transform and load the data
  • 1. Define relationship cardinality and cross-filter direction
  • 2. Create and transform columns
  • 3. Design a star schema
  • 4. Create and transform tables
  • 5. Select appropriate column data types
- Get data from different data sources
  • 1. Choose an appropriate Power BI data source
  • 2. Change data source settings
  • 3. Select a storage mode
  • 4. Identify and connect to a data source
  • 5. Select a shared dataset or create a local dataset
Model the data30%- Create measures by using DAX
  • 1. Use DAX logical functions
  • 2. Use DAX aggregation functions
  • 3. Implement Time Intelligence using DAX
  • 4. Create semi-additive measures
  • 5. Create calculated measures
- Design a data model
  • 1. Configure table and column properties
  • 2. Define quick measures
  • 3. Define the tables
  • 4. Define a relationship's cross-filter direction and security filtering
  • 5. Design and implement role-playing dimensions
- Develop a data model
  • 1. Create hierarchies
  • 2. Create calculated columns
  • 3. Implement row-level security roles
  • 4. Create calculated tables
- Optimize model performance
  • 1. Optimize Power Query transformations
  • 2. Improve performance by choosing optimal data types
  • 3. Improve performance by identifying and removing unnecessary rows and columns
Visualize the data25%- Create reports
  • 1. Create and manage bookmarks
  • 2. Apply slicing and filtering
  • 3. Import a custom visual
  • 4. Add visualization items to reports
  • 5. Configure conditional formatting
  • 6. Choose an appropriate visualization type
  • 7. Format and configure visualizations
- Create dashboards
  • 1. Use the Q&A feature
  • 2. Set mobile view
  • 3. Manage tiles on a dashboard
  • 4. Configure data alerts
- Enforce accessibility
  • 1. Configure tab order
  • 2. Design accessible reports
  • 3. Use accessibility features
Analyze the data15%- Enhance reports for usability and storytelling
  • 1. Configure bookmarks
  • 2. Group and layer visuals
  • 3. Configure navigation for a report
  • 4. Apply sorting
  • 5. Create custom tooltips
  • 6. Edit and configure interactions between visuals
  • 7. Configure sync slicers
- Perform advanced analysis
  • 1. Use the Analyze feature
  • 2. Identify outliers
  • 3. Use advanced analytical custom visuals
  • 4. Perform What-if analysis
Deploy and maintain deliverables10%- Create and manage workspaces
  • 1. Configure and update a workspace app
  • 2. Assign workspace roles
  • 3. Create and configure a workspace
- Manage datasets
  • 1. Configure a dataset scheduled refresh
  • 2. Provide access to datasets
  • 3. Configure row-level security group membership
  • 4. Configure cross-workspace sharing

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