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
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Certification Opportunities

Upon completion of this single exam and obtaining the certification, the path doesn’t end. The candidates can pursue other Microsoft certificates to expand their competence area. These include the options such as Microsoft Certified: Azure Data Engineer Associate and Microsoft Certified: Azure Data Scientist Associate, to name a few.

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Career Opportunities

The professionals with the Microsoft Certified: Data Analyst Associate certification are qualified for a variety of job titles. These include a Junior Data Analyst, an Associate Analyst, an Associate Consultant, a Certified Retail Analyst, a Technology Support Analyst, a Digital Media Analyst, and a Network Analyst. The average salary for these positions is $52,000 per annum.

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

Microsoft DA-100 Deutsch Exam Syllabus Topics:

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

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