Microsoft DA-100 Deutsch Exam Details & Actual Exam Questions

  • Exam Code/Number: DA-100 Deutsch
  • Exam Name/Title: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Certified: Data Analyst Associate
  • Exam Questions: 150
  • Updated On: Jul,14 2026
  • Certification Level: Associate

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

View DA-100 Deutsch actual exam questions, answers and explanations for free.

users 94% student found the test questions almost same

All the information you need to pass Microsoft Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) DA-100 Deutsch exam and free practice exam verified by EduDump exam experts.

Said the test questions were almost same
Passed the exams with the material
Found the study quides effective and helpful

Microsoft DA-100 Deutsch Exam Overview:

Certification Vendor:Microsoft
Exam Name:Analyzing Data with Microsoft Power BI
Exam Number:DA-100
Certificate Validity Period:Certification valid for one year, renewable
Exam Format:Multiple choice, Multiple response, Drag and drop, Case study, Build list
Passing Score:700
Related Certifications:Microsoft Certified: Data Analyst Associate
Exam Duration:120 minutes
Exam Price:USD 165
Real Exam Qty:40-60
Available Languages:English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Chinese (Traditional), Italian
Sample Questions:Microsoft DA-100 Deutsch Sample Questions
Exam Way:Online (proctored) or Onsite at a Pearson VUE testing center
Pre Condition:Familiarity with data concepts and experience with data analysis
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/data-analyst-associate/

Microsoft DA-100 Deutsch Exam Syllabus Topics:

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


0
0
0
10