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

Microsoft DA-100 Deutsch test insides dumps
  • Exam Code: DA-100-Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Updated: Aug 25, 2026
  • Q & A: 150 Questions and Answers
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About Microsoft Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) : DA-100 Deutsch exam dumps

Exam DA-100: Analyzing Data with Microsoft Power BI

Data Analysts enable businesses to maximize the value of their data assets by using Microsoft Power BI. As a subject matter expert, Data Analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations. Data Analysts also collaborate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.

The Data Analyst should have a fundamental understanding of data repositories and data processing both on-premises and in the cloud.

Part of the requirements for: Microsoft Certified: Data Analyst Associate

Download exam skills outline

Requirements

The Microsoft DA-100: Analyzing Data with Microsoft Power BI test does not have any official prerequisite. However, the applicants must understand the content of the exam topics. They also need to have fundamental knowledge of data processing and data repositories in Cloud and on-premises.

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

What should you know about the Microsoft DA-100 exam before going for it?

The intended candidates for the Microsoft DA-100 exam are Data Analysts. These professionals help the organizations make the most of the value of data assets through the use of Microsoft Power BI. They also collaborate with the major stakeholders across the company to deliver the appropriate insights based on the recognized business prerequisites.

Microsoft DA-100 is an associate-level certification test, and as such, it does not have any official prerequisites. However, Microsoft recommends that the students have a good fundamental knowledge of data processing and data repositories both in Cloud and on-premises. The candidates for the exam should have the relevant skills in building and designing scalable data models, facilitating advanced analytic abilities, and transforming and cleaning data to provide significant business value through understandable data visualizations.

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.

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Microsoft DA-100 Deutsch Exam Syllabus Topics:
SectionWeightObjectives
Analyze the data15%- Enhance reports for usability and storytelling
  • 1. Group and layer visuals
  • 2. Edit and configure interactions between visuals
  • 3. Create custom tooltips
  • 4. Configure sync slicers
  • 5. Configure bookmarks
  • 6. Apply sorting
  • 7. Configure navigation for a report
- Perform advanced analysis
  • 1. Perform What-if analysis
  • 2. Use advanced analytical custom visuals
  • 3. Use the Analyze feature
  • 4. Identify outliers
Visualize the data25%- Create reports
  • 1. Choose an appropriate visualization type
  • 2. Apply slicing and filtering
  • 3. Format and configure visualizations
  • 4. Add visualization items to reports
  • 5. Import a custom visual
  • 6. Create and manage bookmarks
  • 7. Configure conditional formatting
- Enforce accessibility
  • 1. Configure tab order
  • 2. Use accessibility features
  • 3. Design accessible reports
- Create dashboards
  • 1. Manage tiles on a dashboard
  • 2. Configure data alerts
  • 3. Set mobile view
  • 4. Use the Q&A feature
Model the data30%- Develop a data model
  • 1. Implement row-level security roles
  • 2. Create calculated tables
  • 3. Create hierarchies
  • 4. Create calculated columns
- Create measures by using DAX
  • 1. Create semi-additive measures
  • 2. Use DAX logical functions
  • 3. Use DAX aggregation functions
  • 4. Implement Time Intelligence using DAX
  • 5. Create calculated measures
- Design a data model
  • 1. Design and implement role-playing dimensions
  • 2. Configure table and column properties
  • 3. Define quick measures
  • 4. Define a relationship's cross-filter direction and security filtering
  • 5. Define the tables
- Optimize model performance
  • 1. Improve performance by identifying and removing unnecessary rows and columns
  • 2. Improve performance by choosing optimal data types
  • 3. Optimize Power Query transformations
Prepare the data20%- Profile the data
  • 1. Interpret data distribution and variance
  • 2. Examine data structures
  • 3. Identify data anomalies
- Transform and load the data
  • 1. Define relationship cardinality and cross-filter direction
  • 2. Create and transform columns
  • 3. Select appropriate column data types
  • 4. Design a star schema
  • 5. Create and transform tables
- Clean the data
  • 1. Resolve data import errors
  • 2. Resolve inconsistencies, unexpected or null values, and data quality issues
  • 3. Evaluate data, including data statistics and column properties
- Get data from different data sources
  • 1. Select a storage mode
  • 2. Change data source settings
  • 3. Choose an appropriate Power BI data source
  • 4. Identify and connect to a data source
  • 5. Select a shared dataset or create a local dataset
Deploy and maintain deliverables10%- Create and manage workspaces
  • 1. Assign workspace roles
  • 2. Create and configure a workspace
  • 3. Configure and update a workspace app
- Manage datasets
  • 1. Provide access to datasets
  • 2. Configure a dataset scheduled refresh
  • 3. Configure cross-workspace sharing
  • 4. Configure row-level security group membership

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