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

  • Exam Code: DA-100 Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Updated: Aug 20, 2026
  • Q & A: 150 Questions and Answers

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About Microsoft DA-100 Deutsch Exam

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What career bonuses will you get after passing the Microsoft DA-100 exam?

The certifications from a renowned vendor such as Microsoft enhance the chances of the professionals to land a decent job. The individuals with the Microsoft Certified: Data Analyst Associate certificate are also at an advantage because this option validates their skills and competence in a specific technical domain. Some of the job titles that the certified specialists can pursue include a Data Analyst, a Business Analyst, a Mobile Test Analyst, a Revenue Analyst, and a Quantity Assurance Analyst. The average salary for these experts is $105,000 per annum.

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Microsoft DA-100 Practice Test Questions, Microsoft DA-100 Exam Practice Test Questions

The candidates who want to earn the Microsoft Certified: Data Analyst Associate certification must pass one qualifying exam, which is Microsoft DA-100. This test evaluates the ability of the test takers to accomplish specific technical tasks. These include the processes with data, such as analyzing, preparing, maintaining and deploying, visualizing, and modeling.

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About Data Analyst Associate and Who It Is Intended for

The Microsoft Certified: Data Analyst Associate is earned by passing DA-100 and is a role-based intermediate-level certification that falls under the Microsoft Power Platform certification hierarchy and authenticates the data analyst's expertise in utilizing Microsoft Power BI in maximizing the businesses' data assets value. The earner of this certificate will be competent to design and develop scalable data models along with cleaning and transformation of data to provide business values through data visualizations. Overall, this certification will be beneficial for data analysts in broadening their technological prowess and the values that they provide for businesses.

Certification Path for Exam DA-100: Analyzing Data with Microsoft Power BI

Analyzing Data with Microsoft Power BI is a fundamental exam and there are no pre-requisites. Successful candidates will get Microsoft Certified: Data Analyst Associate title.

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

Microsoft DA-100 Deutsch Exam Syllabus Topics:

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

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