Exam Code: DA-100
Exam Name: Analyzing Data with Microsoft Power BI
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Data Analyst Associate
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Conclusion: Getting Microsoft Certified Is Challenging But Possible!

The Microsoft Certified: Data Analyst Associate certificate will help secure a career as a data analyst, which will come with it a high paycheck and different career opportunities. However, achieving this certification won’t be easy as one needs to overcome DA-100 (Analyzing Data with Microsoft Power BI) exam. But, with a huge number of study guides available on Amazon and the official MS training course, passing this test is going to be that much easier.

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

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About Data Analyst Associate and Who It Is Intended for

The Microsoft Certified: Data Analyst Associate is earned by passing DA-100 and is a role-based intermediate-level certification that falls under the Microsoft Power Platform certification hierarchy and authenticates the data analyst's expertise in utilizing Microsoft Power BI in maximizing the businesses' data assets value. The earner of this certificate will be competent to design and develop scalable data models along with cleaning and transformation of data to provide business values through data visualizations. Overall, this certification will be beneficial for data analysts in broadening their technological prowess and the values that they provide for businesses.

Certification Path

After acquiring the Microsoft Certified: Data Analyst Associate certification, you are competent to go further and broaden your expertise in the Microsoft BI platform. Although this certificate is not a direct requirement for other BI-related validations, it will sure help you get started with the higher-level certifications like the Microsoft Certified: Dynamics 365 + Power Platform Solution Architect Expert.

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Microsoft DA-100 Exam Syllabus Topics:

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

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