Exam Code: DA-100
Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Data Analyst Associate
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Skills measured

  • Visualize the data (20-25%)
  • Model the data (25-30%)
  • Prepare the data (20-25%)
  • Analyze the data (10-15%)
  • Deploy and maintain deliverables (10-15%)

Requirements

The Microsoft DA-100: Analyzing Data with Microsoft Power BI test does not have any official prerequisite. However, the applicants must understand the content of the exam topics. They also need to have fundamental knowledge of data processing and data repositories in Cloud and on-premises.

For more info about Exam DA-100: Analyzing Data with Microsoft Power BI

Exam DA-100: Analyzing Data with Microsoft Power BI

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

3. Data Visualization (20-25%):

Here the candidates have to show their knowledge of:

  • Creating reports: The examinees must be able to demonstrate their skills in importing custom visuals, configuring and formatting visualization, designing and configuring accessibility, and configuring automatic page refresh. This topic also requires competence in applying filtering and slicing, selecting suitable visualization types, and including visualization items in reports.
  • Creating dashboards:This domain will measure the individuals’ skills in managing tiles within a dashboard, setting mobile view, adding dashboard themes, configuring data classification, configuring data alerts, and using Q&A features.
  • Enriching reports for Usage: This area requires that the test takers develop competence in configuring bookmarks, creating custom tooltips, configuring Sync Slicers, and navigation for reports. It also covers their skills in exporting report data, utilizing selection pane, drill-through & cross filter.

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Microsoft DA-100日本語 Exam Syllabus Topics:

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

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