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Microsoft DA-100 Exam Syllabus

Microsoft DA-100 Exam

Analyzing Data with Microsoft Power BI

Total Questions: 141

What is Included in the Microsoft DA-100 Exam?

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Microsoft DA-100 Exam Overview :

Exam Name Analyzing Data with Microsoft Power BI
Exam Code DA-100
Actual Exam Duration 180 minutes
Expected no. of Questions in Actual Exam 60
Exam Registration Price $165
Official Information https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
See Expected Questions Microsoft DA-100 Expected Questions in Actual Exam
Take Self-Assessment Use Microsoft DA-100 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure

Microsoft DA-100 Exam Topics :

Section Weight Objectives
Get data from different data sources 20-25% - identify and connect to a data source
- change data source settings
- select a shared dataset or create a local dataset
- select a storage mode
- choose an appropriate query type
- identify query performance issues
- use Microsoft Dataverse
- use parameters
- use or create a PBIDS file
- use or create a data flow
- connect to a dataset using the XMLA endpoint
Profile the data 20-25% - identify data anomalies
- examine data structures
- interrogate column properties
- interrogate data statistics
Clean, transform, and load the data 20-25% - resolve inconsistencies, unexpected or null values, and data quality issues
- apply user-friendly value replacements
- identify and create appropriate keys for joins
- evaluate and transform column data types
- apply data shape transformations to table structures
- combine queries
- apply user-friendly naming conventions to columns and queries
- leverage Advanced Editor to modify Power Query M code
- configure data loading
- resolve data import errors
Design a data model 25-30% - define the tables
- configure table and column properties
- define quick measures
- flatten out a parent-child hierarchy
- define role-playing dimensions
- define a relationship's cardinality and cross-filter direction
- design the data model to meet performance requirements
- resolve many-to-many relationships
- create a common date table
- define the appropriate level of data granularity
Develop a data model 25-30% - apply cross-filter direction and security filtering
- create calculated tables
- create hierarchies
- create calculated columns
- implement row-level security roles
- set up the Q&A feature
Create measures by using DAX 25-30% - use DAX to build complex measures
- use CALCULATE to manipulate filters
- implement Time Intelligence using DAX
- replace numeric columns with measures
- use basic statistical functions to enhance data
- create semi-additive measures
Optimize model performance 25-30% - remove unnecessary rows and columns
- identify poorly performing measures, relationships, and visuals
- improve cardinality levels by changing data types
- improve cardinality levels through summarization
- create and manage aggregations
Create reports 20-25% - add visualization items to reports
- choose an appropriate visualization type
- format and configure visualizations
- import a custom visual
- configure conditional formatting
- apply slicing and filtering
- add an R or Python visual
- configure the report page
- design and configure for accessibility
- configure automatic page refresh
- create a paginated report
Create dashboards 20-25% - set mobile view
- manage tiles on a dashboard
- configure data alerts
- use the Q&A feature
- add a dashboard theme
- pin a live report page to a dashboard
Enrich reports for usability 20-25% - configure bookmarks
- create custom tooltips
- edit and configure interactions between visuals
- configure navigation for a report
- apply sorting
- configure Sync Slicers
- use the selection pane
- use drillthrough and cross filter
- drilldown into data using interactive visuals
- export report data
- design reports for mobile devices
Enhance reports to expose insights 10-15% - apply conditional formatting
- apply slicers and filters
- perform top N analysis
- explore statistical summary
- use the Q&A visual
- add a Quick Insights result to a report
- create reference lines by using Analytics pane
- use the Play Axis feature of a visualization
- personalize visuals
Perform advanced analysis 10-15% - identify outliers
- conduct Time Series analysis
- use groupings and binnings
- use the Key Influencers to explore dimensional variances
- use the decomposition tree visual to break down a measure
- apply AI Insights
Manage datasets 10-15% - configure a dataset scheduled refresh
- configure row-level security group membership
- providing access to datasets
- configure incremental refresh settings
- promote or certify Power BI datasets
- identify downstream dataset dependencies
- configure large dataset format
Create and manage workspaces 10-15% - create and configure a workspace
- recommend a development lifecycle strategy
- assign workspace roles
- configure and update a workspace app
- publish, import, or update assets in a workspace
- apply sensitivity labels to workspace content
- use deployment pipelines
- configure subscriptions
- promote or certify Power BI content

Updates in the Microsoft DA-100 Exam Syllabus:

Microsoft DA-100 exam questions and practice test are the best ways to get fully prepared. Study4exam's trusted preparation material consists of both practice questions and practice test. To pass the actual Data Analyst Associate DA-100 exam on the first attempt, you need to put in hard work on these Microsoft DA-100 questions that provide updated information about the entire exam syllabus. Besides studying actual questions, you should take the Microsoft DA-100 practice test for self-assessment and actual exam simulation. Revise actual exam questions and remove your mistakes with the Analyzing Data with Microsoft Power BI DA-100 exam practice test. Online and windows-based formats of the DA-100 exam practice test are available for self-assessment.