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

Pass DA-100 Deutsch Exam Cram

Exam Code: DA-100-Deutsch

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

Updated: Jul 16, 2026

Q & A: 150 Questions and Answers

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5. Deliverables Deployment and Maintenance (10-15%):

The topics for this part are the following:

  • Datasets management: In the framework of this subtopic, the applicants will be evaluated based on their skills in configuring incremental refresh settings, dataset scheduled refresh, and group membership for row-level security. It will also measure their skills in providing access to the datasets and certifying or promoting Power BI content.
  • Workspaces creation and management: The test takers must have competence in assigning workspace roles, using deployment pipeline, updating and configuring workspace apps, and applying sensitivity labels for workspace content. It also requires their skills in importing, updating, and publishing assets in workspaces, as well as recommending the development lifecycle strategy.
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Useful Books to Pass DA-100

Those preparing for DA-100 test can incorporate the following books from Amazon in their learning process to ensure they pass the exam with high scores:

  • ‘Secrets of DA-100 Analyzing Data with Microsoft Power BI’ by Nikhil J. This Kindle e-book is packed with numerous up-to-date questions & answers for the Microsoft DA-100 exam in order to help students score better. By going through this material, the applicants will assess themselves and will understand how well they can apply all the things they learnt in theory. The e-book has a good track record of helping individuals achieve success in DA-100 test.
  • ‘Learn How to Pass DA-100: Analyzing Data with Microsoft Power BI Exam’. Prepared by Rodrezil Publications, this book compiles advice and tips from candidates who have already passed DA-100 exam and hence offers invaluable first-hand experiences. It also provides the readers with advice from IT experts who know all the ins and outs of the test and know how to deliver this knowledge in an easy-to-understand manner. The goal of this Kindle e-book is to help applicants get over the fear of the exam and pass it on their very first attempt. The material also comes with coupon codes that students can use to take free DA-100 mock tests at Vullam for better preparation and prior self-assessment.
  • ‘Exam Ref DA-100 Analyzing Data with Microsoft Power BI 1st Edition’ by Daniil Maslyuk. This is the official book issued by Microsoft for its DA-100 test. The guidance offered in this paperback aims to help candidates acquire all the right skills needed for the exam so they will be able to achieve a high score. The book puts great emphasis on real-world issues and problems so the readers will know what to expect when working in the job role of a data analyst. It provides complete coverage of all the tested objectives, and this content is extremely detailed. The material also includes various ‘what if’ scenarios to encourage critical thinking in students and prepare them for the more challenging exam questions.
  • ‘Exam DA-100: Data Analyst Associate 25 Test Prep Questions Version II’ by Ger Arevalo. This guide can act as supplementary material when going through hands-on practice, labs, and classes for DA-100. The intent of this book is to reinforce what you learn, and it is also a good last-minute tool that can help students identify their level of readiness. It will help candidates acquire competencies that will be beneficial when working out in the real world.

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

Skills measured
  • Analyze the data (10-15%)
  • Visualize the data (20-25%)
  • Deploy and maintain deliverables (10-15%)
  • Model the data (25-30%)
  • Prepare the data (20-25%)
Microsoft DA-100 Deutsch Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Model the data25-30%- Optimize model performance
- Create calculated tables and columns
- Design and develop data models
- Create measures using DAX
Topic 2: Prepare the data20-25%- Profile and examine data
- Get data from different sources
- Clean, transform, and load data
Topic 3: Analyze the data10-15%- Apply AI visuals and insights
- Perform advanced analysis
- Identify patterns and trends
Topic 4: Visualize the data20-25%- Apply filters, slicers, and formatting
- Create reports and dashboards
- Enrich reports for usability
Topic 5: Deploy and maintain deliverables10-15%- Configure refresh and security
- Share and distribute content
- Manage workspaces and datasets
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