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The Microsoft DA-100 exam (Analyzing Data with Microsoft Power BI) is intended for data analysts and is the only test required to obtain the Microsoft Certified: Data Analyst Associate certificate.

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

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Microsoft DA-100 Exam Syllabus Topics:

Section	Weight	Objectives
Visualize the data	25%	- Enforce accessibility 1. Design accessible reports 2. Configure tab order 3. Use accessibility features - Create dashboards 1. Set mobile view 2. Use the Q&A feature 3. Configure data alerts 4. Manage tiles on a dashboard - Create reports 1. Create and manage bookmarks 2. Configure conditional formatting 3. Choose an appropriate visualization type 4. Apply slicing and filtering 5. Format and configure visualizations 6. Add visualization items to reports 7. Import a custom visual
Model the data	30%	- Design a data model 1. Define quick measures 2. Define the tables 3. Configure table and column properties 4. Design and implement role-playing dimensions 5. Define a relationship's cross-filter direction and security filtering - Create measures by using DAX 1. Create calculated measures 2. Create semi-additive measures 3. Use DAX logical functions 4. Use DAX aggregation functions 5. Implement Time Intelligence using DAX - Develop a data model 1. Create calculated columns 2. Create hierarchies 3. Create calculated tables 4. Implement row-level security roles - Optimize model performance 1. Optimize Power Query transformations 2. Improve performance by identifying and removing unnecessary rows and columns 3. Improve performance by choosing optimal data types
Prepare the data	20%	- Transform and load the data 1. Define relationship cardinality and cross-filter direction 2. Create and transform columns 3. Select appropriate column data types 4. Create and transform tables 5. Design a star schema - 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. Identify and connect to a data source 3. Select a storage mode 4. Select a shared dataset or create a local dataset 5. Choose an appropriate Power BI 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
Analyze the data	15%	- Enhance reports for usability and storytelling 1. Create custom tooltips 2. Group and layer visuals 3. Configure navigation for a report 4. Configure sync slicers 5. Configure bookmarks 6. Apply sorting 7. Edit and configure interactions between visuals - Perform advanced analysis 1. Use advanced analytical custom visuals 2. Use the Analyze feature 3. Identify outliers 4. Perform What-if analysis
Deploy and maintain deliverables	10%	- Manage datasets 1. Configure a dataset scheduled refresh 2. Provide access to datasets 3. Configure row-level security group membership 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