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

DA-100 Deutsch Exam Simulator
  • Exam Code: DA-100-Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Updated: Jul 30, 2026
  • Q & A: 150 Questions and Answers
  • Microsoft DA-100 Deutsch Q&A - in .pdf

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About Microsoft DA-100 Deutsch Exam Simulator

About Exam DA-100: Analyzing Data with Microsoft Power BI

The Microsoft DA-100 test is for those individuals who have at least some experience in working with Power Bi although it is not a strict requirement but a recommendation. In addition, the applicant should have some experience in the concepts of scaling data models, data visualizations, data cleaning, and data processing. When it comes to the test details, DA-100 exam is available in English, Chinese (Simplified), Korean, Japanese and will require $165 for registration. The registered candidate can use the Pearson VUE platform for scheduling an exam. In the final test, individuals will experience around 40-60 items that will have to be solved in 3 hours.

Nowadays, most of people choose to get Microsoft certification DA-100 Deutsch exam. Owing the DA-100 Deutsch certification means that you have special and professional ability in the IT industry. If you acquire DA-100 Deutsch certification, which will be a light spot in your job interview, then it will leave a good impression on the employer and the good job, the promotion and the salary increase will following.

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Microsoft DA-100 Deutsch exam simulator

Exam Topics

Microsoft expects that the successful candidates get the passing score of 720 points on a scale of 100-1000. This mark is achievable if you put your mind to it. To succeed, you must understand the Microsoft DA-100 exam topics that are as follows:

1. Data Preparation (20-25%):

This part includes the following areas:

  • Collecting data from various data sources: The candidates must be able to connect and identify data sources, alternate data source settings, and choose storage mode and shared datasets, or build local datasets. They also need the capacity to select the relevant query type, utilize parameters, Microsoft Dataverse, create or use PBIDS files, and data flow.
  • Cleaning, loading, & transforming data: This subject area requires that the students understand how to combine queries, utilize user-friendly value substitutions, solve data import errors, transform and measure column data types, and configure the data loading. It also covers their skills in applying data shape transformations for table structures and user-friendly conventional naming for queries and columns. The individuals should also have the expertise in leveraging Advanced Editor or modifying Power Query M-code.
  • Data profile: The test takers should have competence in interrogating data statistics and column properties as well as identifying data anomalies and evaluating data structures.

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

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This certification exam covers a range of skills that the applicants need to develop competency in before sitting for it. These skills are broken into topics and subtopics. Here are the highlights of the subject areas covered in Microsoft DA-100:

  • Prepare Data: 20-25%

    This section of the certification exam will evaluate the ability of the candidates to acquire data from various data sources. They also must be able to profile data, which includes identifying data anomalies and examining data structure. It also requires interrogating data statistics and column properties. In addition, the test takers should have competence in cleaning, transforming, and loading the data. This involves resolving inconsistencies, identifying the relevant keys for joins, combining queries, and resolving data import errors.

  • Analyze Data: 10-15%

    This part will measure the competence of the students in improving reports to reveal insights. These include competence in applying conditional formatting, personalizing visuals, exploring statistical summary, and using Q&A visuals. It will also evaluate their skills in performing advanced analysis.

  • Model Data: 25-30%

    This topic equips the candidates with the skills and knowledge on how to design the data model. The questions from this subject area will measure their expertise in defining tables, quick measures, role-playing dimensions, cross-filter direction and relationship’s cardinality, and precise level of data granularity. It will also measure competence in the development of data models, creation of measures with the use of DAX, and optimization of model performance.

  • Maintain & Deploy Deliverables: 10-15%

    The applicants for the Microsoft DA-100 exam should also have competence in managing datasets. This involves configuring datasets scheduled refresh, certifying or promoting Power BI content, and providing access to the datasets. The learners also need to have the skills in creating and managing workspaces, creating and configuring workspaces, assigning workspace roles, and using deployment pipelines.

  • Visualize Data: 20-25%

    Within this domain, the examinees should possess the ability to create reports because the certification test will measure their capability to perform the technical tasks in this area. They will also need to demonstrate their skills in creating dashboards, including setting mobile view, using Q&A features, managing tiles on dashboards, and configuring data classification. The individuals should also be able to improve reports for usability. They will be required to demonstrate their skills in configuring bookmarks, applying to sort, creating custom tooltips, exporting report data, and configuring Sync Slicers.

Microsoft DA-100 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Prepare the data20-25%- Clean and transform data
  • 1. Use Power Query Editor for data shaping
    • 2. Handle missing, duplicate, and inconsistent data
      - Get data from data sources
      • 1. Connect to data sources (files, databases, cloud services)
        • 2. Select appropriate storage modes (Import, DirectQuery, Composite)
          Model the data25-30%- Create calculated columns and measures
          • 1. Use DAX for calculations
            • 2. Optimize model performance
              - Design data models
              • 1. Design star and snowflake schemas
                • 2. Create relationships between tables
                  Visualize the data25-30%- Enhance reports
                  • 1. Apply filters, slicers, and drill-through
                    • 2. Use bookmarks and navigation elements
                      - Create reports
                      • 1. Design interactive reports in Power BI Desktop
                        • 2. Use visuals such as charts, maps, and tables
                          Deploy and maintain deliverables10-15%- Secure and share content
                          • 1. Share dashboards with users and groups
                            • 2. Implement row-level security (RLS)
                              - Manage workspaces and datasets
                              • 1. Publish reports to Power BI Service
                                • 2. Configure dataset refresh schedules
                                  Analyze the data10-15%- Perform advanced analytics
                                  • 1. Use DAX time intelligence functions
                                    • 2. Apply statistical measures in reports
                                      - Analyze data patterns
                                      • 1. Use AI visuals and quick insights
                                        • 2. Identify trends and outliers

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