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2. Data Model (25-30%):

The main domains of this section are:

  • Creation of measures with DAX: The applicants should be able to utilize DAX in building multifaceted measures, use CALCULATE to maneuver filters, and utilize the fundamental statistical functions for enhancing data. This domain also requires their skills in creating semi-additive measures and implementing Time Intelligence with DAX.
  • Model performance optimization: This module will measure your competence in enhancing cardinality levels through changing data types and summarization. It will also evaluate your skills in eliminating unnecessary columns and rows, creating and managing aggregations, and identifying poorly performing visuals, measures, and relationships.
  • Data model development: This objective requires one’s ability to create hierarchies, calculated tables, and calculated columns. It also covers your skills in establishing Q&A features, implementing row-level security functions, and applying security filtering and cross-filter direction.
  • Data model design: The learners need to have competence in defining tables, role-playing dimensions, quick measures, and cross-filter direction & relationship cardinality. The topic also requires their skills in designing a data model to fulfill the performance prerequisites, creating common data tables, and solving many-to-many relationships.

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More about DA-100 Exam

This test focuses on technical domains such as structuring data, using DAX to create measures, making a data model, acquiring data from numerous sources, and preparing and analyzing data. Also, it checks one’s skills in interpreting reports, revealing data insights, forming dashboards, visualizing data, handling datasets, and lastly, incorporating and maintaining deliverables. The registration fee for DA-100 is $165. The test is available in numerous languages including Japanese, Chinese, Korean, and English. DA-100 can be taken at local physical centers or online under proctored conditions.

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

Microsoft DA-100 Exam Syllabus Topics:

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

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