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Microsoft Power BI is a suite of business intelligence (BI), reporting, and data visualization products and services for individuals and teams. Power BI stands out with streamlined publication and distribution capabilities, as well as integration with other Microsoft products and services.

Through Power BI, users can:

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  • Integrate with other Microsoft solutions, such as Azure data services
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  • Share data, dashboards, and reports with other Power BI users
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  • Organization owners invest a lot in their employees when it comes to their training with the goal of making them quicker, more efficient, and more knowledgeable about their role. Certified Professional will reduce the time he spends on tasks, meaning he can get more done this could help reduce company downtime when repairing faults on a system or fixing hardware problems.
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  • After completion of exam, candidates receive official confirmation from Microsoft that you are now fully certified in their chosen field. This can be now added to their CV, cover letters and job applications.

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

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Microsoft DA-100日本語 Exam Syllabus Topics:

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

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