Microsoft DA-100 Exam Syllabus
Analyzing Data with Microsoft Power BI
Total Questions: 141What 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.
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