Microsoft DA-100 Exam Syllabus
Analyzing Data with Microsoft Power BI
Total Questions: 149What 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:
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