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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.

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

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Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Visualize the data

The following will be discussed in MICROSOFT DA-100 exam dumps:

  • Add a dashboard theme
  • Use drillthrough and cross filter
  • Configure conditional formatting
  • Edit and configure interactions between visuals
  • Import a custom visual
  • Set mobile view
  • Configure bookmarks
  • Configure Sync Slicers
  • Configure navigation for a report
  • Manage tiles on a dashboard
  • Use the Q&A feature
  • Drilldown into data using interactive visuals
  • Create dashboards
  • Add visualization items to reports
  • Apply slicing and filtering
  • Create custom tooltips
  • Configure data alerts
  • Apply sorting
  • Format and configure visualizations
  • Configure data classification
  • Add an R or Python visual
  • Pin a live report page to a dashboard
  • Use the selection pane
  • Create reports
  • Choose an appropriate visualization type
  • Configure the report page
  • Configure automatic page refresh
  • Design and configure for accessibility
  • Enrich reports for usability
  • Design reports for mobile devices
  • Export report data

Microsoft DA-100 Deutsch Exam Syllabus Topics:

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

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