Microsoft Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) : DA-100 Deutsch
- Exam Code: Microsoft
- Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
- Updated: Aug 07, 2026
- Q & A: 150 Questions and Answers
About Microsoft Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) : Microsoft Exam
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Exam Topics for Exam DA-100: Analyzing Data with Microsoft Power BI
The following will be discussed in MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test:
- Visualize the data
- Prepare the data
- Deploy and maintain deliverables
- Analyze the data
- Model the data
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
Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Deploy and maintain deliverables
The following will be discussed in MICROSOFT DA-100 exam dumps:
- Promote or certify Power BI content
- Assign workspace roles
- Configure row-level security group membership
- Recommend a development lifecycle strategy
- Apply sensitivity labels to workspace content
- Configure and update a workspace app
- Manage datasets
- Use deployment pipelines
- Publish, import, or update assets in a workspace
- Create and configure a workspace
- Identify downstream dataset dependencies
- Configure a dataset scheduled refresh
- Providing access to datasets
- Create and manage workspaces
- Configure incremental refresh settings
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
Microsoft DA-100 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare the data | 20% | - Clean the data
|
| Topic 2: Model the data | 30% | - Develop a data model
|
| Topic 3: Analyze the data | 15% | - Enhance reports for usability and storytelling
|
| Topic 4: Visualize the data | 25% | - Create dashboards
|
| Topic 5: Deploy and maintain deliverables | 10% | - Create and manage workspaces
|
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