Skills measured

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

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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.

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

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:

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

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

Exam DA-100: Analyzing Data with Microsoft Power BI

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Microsoft DA-100 Exam Syllabus Topics:

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