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

"Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)", also known as DA-100 exam, is a Microsoft Certification. With the complete collection of questions and answers, PrepPDF has assembled to take you through 150 Q&As to your DA-100 Exam preparation. In the DA-100 exam resources, you will cover every field and category in Microsoft Certified: Data Analyst Associate Certification helping to ready you for your successful Microsoft Certification.

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  • Exam Code: DA-100
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Certified: Data Analyst Associate
  • Updated: Jun 19, 2026
  • No. of Questions: 150 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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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.

Microsoft DA-100 Deutsch Exam Syllabus Topics:

TopicDetails
Topic 1
  • Resolve Many-To-Many Relationships
  • Change Data Source Settings
  • Examine Data Structures
Topic 2
  • Set Mobile View
  • Manage Tiles On A Dashboard
  • Use Drillthrough And Cross Filter
Topic 3
  • Implement Row-Level Security Roles
  • Flatten Out A Parent-Child Hierarchy
Topic 4
  • Identify Poorly Performing Measures, Relationships, And Visuals
  • Apply User-Friendly Value Replacements
Topic 5
  • Define The Appropriate Level Of Data Granularity
  • Identify And Connect To A Data Source
Topic 6
  • Leverage Advanced Editor To Modify Power Query M Code
  • Identify And Create Appropriate Keys For Joins
Topic 7
  • Implement Time Intelligence Using Dax
  • Identify Query Performance Issues
  • Create Semi-Additive Measures
Topic 8
  • Define A Relationship's Cardinality And Cross-Filter Direction
  • Select A Shared Dataset Or Create A Local Dataset
Topic 9
  • Apply Data Shape Transformations To Table Structures
  • Configure Table And Column Properties
Topic 10
  • Use Basic Statistical Functions To Enhance Data
  • Apply Cross-Filter Direction And Security Filtering
Topic 11
  • Configure Navigation For A Report
  • Format And Configure Visualizations
  • Configure Data Classification
Topic 12
  • Create Hierarchies
  • Create Calculated Columns
  • Apply User-Friendly Naming Conventions To Columns And Queries
Topic 13
  • Replace Numeric Columns With Measures
  • Define Role-Playing Dimensions
Topic 14
  • Design And Configure For Accessibility
  • Choose An Appropriate Visualization Type

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

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Exam DA-100 Topics Covered

Test DA-100 measures the entrant's skills in 5 different domains:

  • Modeling the data (25-30%)

    This part of the final exam includes designing a data model. Here, the candidate should be able to define and configure tables along with having an idea about various dimensions and relationships. They are also required to be familiar with the concept of cardinality and cross-filter direction. After designing a data model, the applicant should be aware of how to develop it. Therefore, understanding of security filtering, calculated tables, hierarchies, and the implementation of row-level security roles will be beneficial. Furthermore, the entrants' expertise in working with DAX will be tested in this sector. They are required to be capable of using DAX for building complex measures, taking advantage of CALCULATE for manipulating filters using DAX with Time Intelligence, and more. In addition, this portion of DA-100 also involves the optimization of model performance by removing rows and columns, changing data types, managing aggregations, etc. Finally, the entrant should also know how to create semi-additive measures.

  • Analyzing the data (10-15%)

    In the fourth tested area, the candidate will be asked to enhance reports for exposing insights. This means complying with the need to be well-informed about conditional formatting, slicers, filters, Analytics pane along with a few other concepts. Besides, candidates must be able to add Quick Insights results to reports and use Q&A visuals. Likewise, the exam-taker should be able to know how to execute the advanced analysis. This involves the understanding of outliers, Timer Series analysis, groupings, binning, dimensional variances, decompositions tree visuals, and AI Insights. The exam also requires an understanding of the Play Axis feature and the personalization of visuals.

  • Deployment and maintenance deliverables (10-15%)

    The fifth and final section of DA-100 exam includes managing datasets. The candidate must be able to configure dataset scheduled refresh and row-level security. They are also expected to have an idea about giving access to data sets, incremental refresh settings, and certifying datasets. Moreover, the entrant is required to be well-informed about creating and managing workspaces. They should be able to create and configure workspaces, assign roles in the workspace, and manage the workspace app. Knowing how to import, export, update, and publish workspace assets will be essential. Finally, the candidate needs to know about applying sensitivity labels in workspace contents. The entrant also needs to be capable of identifying downstream data set dependencies and using deployment pipelines.

  • Preparation of data (20-25%)

    The first domain for DA-100 exam consists of questions that will test the candidate's understanding of data retrieval from various sources. Thus, applicants should be able to identify the data source and connect to it, modify the source settings, select and create various data sets, pick a storage mode, etc. In addition, the examinee should be familiar with the concept of data profiling and have to be able to identify anomalies, study data structures, and examine column properties as well as data statistics. This section also includes cleaning, transforming, and loading data. This means that the entrant must know how to resolve inconsistencies, transform column data types, combine queries, solve data import errors, and more. This topic will also include Microsoft Dataverse, the usage & creation of a PBIDS file, and data flow after the changes are incorporated.

  • Visualizing the data (20-25%)

    The third domain will test the applicant's know-how of creating reports, dashboards, and enriching reports for usability. This will require the candidate's expertise in adding visualization to reports, choosing a proper visualization style, formatting visualizations, slicing and filtering applications, configuring a report page, building automatic page refresh, etc. The knowledge of R and Python visuals will also be beneficial. Furthermore, it is also essential for the entrant to know how to set dashboard to mobile view, manage tiles, configure data alerts, arrange aspects of the dashboard, and pin live reports. Finally, the applicant needs to enrich the reports by configuring bookmarks, creating custom tooltips, sorting & configuring various Sync Slicers, designing reports for mobile devices, etc.

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How to Register For Exam DA-100: Analyzing Data with Microsoft Power BI?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DA-100&examname=Exam%20DA-100:%20Analyzing%20Data%20with%20Microsoft%20Power%20BI&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fda-100

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