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DA-100 practice dumps questions and answers

  • Exam Code: DA-100
  • Exam Name: Analyzing Data with Microsoft Power BI
  • Updated: 2024-03-21
  • Q&A: 127 Questions and Answers
  • PDF Price: $36.99

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Prepare the Data (20-25%)
Get data from different data sources
   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
   identify data anomalies
   examine data structures
   interrogate column properties
   interrogate data statistics
Clean, transform, and load the data
   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
Model the Data (25-30%)
Design a data model
   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
   apply cross-filter direction and security filtering
   create calculated tables
   create hierarchies
   create calculated columns
   implement row-level security roles
   implement object-level security
   set up the Q&A feature
Create measures by using DAX
   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
   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
   use Query Diagnostics
Visualize the Data (20-25%)
Create reports
   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
   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
   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
Analyze the Data (10-15%)
Enhance reports to expose insights
   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
   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
Deploy and Maintain Deliverables (10-15%)
Manage datasets
   configure a dataset scheduled refresh
   configure row-level security group membership
   provide 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
   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
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