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

  • Exam Code: DA-100-Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Updated: Aug 19, 2026
  • Q&As: 150 Questions and Answers

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

The DA-100 exam covers a variety of topics, including data preparation, data modeling, visualizations, and deployment. You will be tested on your ability to use Power BI to connect to different data sources, transform data, create and manage relationships between tables, and create compelling reports and dashboards. Additionally, you will need to know how to publish your solutions to the Power BI service and share them with others.

Microsoft DA-100 certification exam is designed for individuals who are looking to validate their skills in analyzing data with Microsoft Power BI. Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) certification is ideal for data analysts, business analysts, and other professionals who work with data and want to demonstrate their knowledge of Power BI. DA-100-Deutsch exam measures the candidate's ability to work with data models, create visualizations, and perform data analysis using Power BI.

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Analyzing Data with Microsoft Power BI Exam Certification Details:

Books / TrainingDA-100T00-A: Analyzing Data with Power BI
Sample QuestionsAnalyzing Data with Microsoft Power BI Sample Questions
Duration180 mins
Exam Price$165 (USD)
Passing Score700 / 1000
Exam NameMicrosoft Certified - Data Analyst Associate
Schedule ExamPearson VUE
Exam CodeDA-100
Number of Questions40-60

Microsoft DA-100 certification exam is a valuable certification for professionals who work with data and want to enhance their skills in data analysis and visualization. Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) certification is recognized worldwide and is a testament to the candidate's expertise in working with data using the Microsoft Power BI platform. Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) certification can be a valuable asset for individuals looking to advance their careers in data analysis, as it can help them stand out in a competitive job market and demonstrate their knowledge and skills to potential employers.

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

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Microsoft DA-100 Deutsch Exam Syllabus Topics:

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

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