Top 100 Power BI Interview Questions and Answers [2025 Updated]
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Designed to fully prepare you for top-tier Power BI interviews (Latest)
✅ SECTION 1: Power BI Architecture & Fundamentals
What are the main components of Power BI architecture?
Answer:
Power BI Desktop (report authoring)
Power BI Service (cloud service for sharing and collaboration)
Power BI Gateway (connects on-premises data)
Power BI Mobile (mobile app)
Power BI Embedded (for developers)
What are the data connectivity modes in Power BI?
Answer:
Import
DirectQuery
Live Connection
Composite Models (hybrid of Import & DirectQuery)
Scenario: You’re working with huge datasets from SQL Server. Which mode would you choose?
Answer:
DirectQuery for real-time data, but consider composite models for flexibility.
Use aggregation tables to improve performance in composite models.
What is the difference between Power BI Pro and Premium?
Answer:
Pro is user-based licensing; Premium provides dedicated capacity, larger datasets, paginated reports, and AI features.
Premium Per User (PPU) is a hybrid model.
What are the main components of Power BI architecture?
Answer:Power BI Desktop (report authoring)
Power BI Service (cloud service for sharing and collaboration)
Power BI Gateway (connects on-premises data)
Power BI Mobile (mobile app)
Power BI Embedded (for developers)
What are the data connectivity modes in Power BI?
Answer:Import
DirectQuery
Live Connection
Composite Models (hybrid of Import & DirectQuery)
Scenario: You’re working with huge datasets from SQL Server. Which mode would you choose?
Answer:DirectQuery for real-time data, but consider composite models for flexibility.
Use aggregation tables to improve performance in composite models.
What is the difference between Power BI Pro and Premium?
Answer:Pro is user-based licensing; Premium provides dedicated capacity, larger datasets, paginated reports, and AI features.
Premium Per User (PPU) is a hybrid model.
✅ SECTION 2: Data Modeling and Star Schema
Why is a star schema preferred in Power BI modeling?
Answer:
Optimizes performance
Simplifies DAX formulas
Enhances data compression
How do you handle a many-to-many relationship in Power BI?
Answer:
Use a bridge table (factless fact table)
Use DAX functions like TREATAS, CROSSFILTER as needed
Scenario: A dimension table connects to multiple fact tables. What approach do you follow?
Answer:
Use conformed dimensions with surrogate keys
Establish 1:M relationships from dimension to fact
Why is a star schema preferred in Power BI modeling?
Answer:Optimizes performance
Simplifies DAX formulas
Enhances data compression
How do you handle a many-to-many relationship in Power BI?
Answer:Use a bridge table (factless fact table)
Use DAX functions like
TREATAS,CROSSFILTERas needed
Scenario: A dimension table connects to multiple fact tables. What approach do you follow?
Answer:Use conformed dimensions with surrogate keys
Establish 1:M relationships from dimension to fact
✅ SECTION 3: DAX (Data Analysis Expressions)
What’s the difference between CALCULATE and FILTER?
Answer:
CALCULATE changes context of evaluation and returns a scalar value
FILTER returns a table
Scenario: Write a DAX formula to calculate YTD Sales.
Answer:
DAXYTD Sales = TOTALYTD(SUM(FactSales[SalesAmount]), DimDate[Date])
How do you handle row-level time intelligence in DAX?
Answer:
Use DATESYTD, SAMEPERIODLASTYEAR, or custom calendars
What is context transition in DAX?
Answer:
When a row context is converted to filter context (e.g., using CALCULATE)
Scenario: Create a DAX to get top 3 selling products by region.
Answer:
DAX
TopProducts =
TOPN(3,
SUMMARIZE(FactSales, Product[Name], "TotalSales", SUM(FactSales[SalesAmount])),
[TotalSales], DESC)
What’s the difference between
CALCULATEandFILTER?
Answer:CALCULATEchanges context of evaluation and returns a scalar valueFILTERreturns a table
Scenario: Write a DAX formula to calculate YTD Sales.
Answer:DAXYTD Sales = TOTALYTD(SUM(FactSales[SalesAmount]), DimDate[Date])How do you handle row-level time intelligence in DAX?
Answer:Use
DATESYTD,SAMEPERIODLASTYEAR, or custom calendars
What is context transition in DAX?
Answer:When a row context is converted to filter context (e.g., using
CALCULATE)
Scenario: Create a DAX to get top 3 selling products by region.
Answer:DAXTopProducts = TOPN(3, SUMMARIZE(FactSales, Product[Name], "TotalSales", SUM(FactSales[SalesAmount])), [TotalSales], DESC)
✅ SECTION 4: Power Query (M Language)
What is Power Query, and where is it used?
Answer:
ETL tool inside Power BI for data preparation.
Uses M language for transformations.
Scenario: How would you unpivot multiple columns dynamically?
Answer:
Use Power Query’s "Unpivot Other Columns"
M Example:
Unpivoted = Table.UnpivotOtherColumns(Source, {"ID"}, "Attribute", "Value")
Can you merge two tables with different column names?
Answer:
Yes, using “Join Columns” then use custom columns or rename before merging
What is Power Query, and where is it used?
Answer:ETL tool inside Power BI for data preparation.
Uses M language for transformations.
Scenario: How would you unpivot multiple columns dynamically?
Answer:Use Power Query’s "Unpivot Other Columns"
M Example:
Unpivoted = Table.UnpivotOtherColumns(Source, {"ID"}, "Attribute", "Value")
Can you merge two tables with different column names?
Answer:Yes, using “Join Columns” then use custom columns or rename before merging
✅ SECTION 5: Performance Optimization
How do you optimize a slow Power BI report?
Answer:
Reduce visuals and slicers
Aggregate data
Optimize DAX
Use star schema
Limit data with filters
Scenario: You have 200M rows in a table, and report is slow. What steps do you take?**
Answer:
Use aggregation tables
Switch to DirectQuery with indexed views
Optimize DAX with variables
Use query folding in Power Query
How do you optimize a slow Power BI report?
Answer:Reduce visuals and slicers
Aggregate data
Optimize DAX
Use star schema
Limit data with filters
Scenario: You have 200M rows in a table, and report is slow. What steps do you take?**
Answer:Use aggregation tables
Switch to DirectQuery with indexed views
Optimize DAX with variables
Use query folding in Power Query
✅ SECTION 6: Power BI Service & Deployment
What are Workspaces in Power BI Service?
Answer:
Collaborative containers for content
Can assign roles: Admin, Member, Contributor, Viewer
Scenario: How do you schedule refresh for a dataset with on-prem SQL Server?**
Answer:
Use a Power BI Gateway (Enterprise mode)
Schedule refresh in Service
What is Deployment Pipeline in Power BI?
Answer:
Allows dev → test → prod promotion
Available in Premium workspaces
What are Workspaces in Power BI Service?
Answer:Collaborative containers for content
Can assign roles: Admin, Member, Contributor, Viewer
Scenario: How do you schedule refresh for a dataset with on-prem SQL Server?**
Answer:Use a Power BI Gateway (Enterprise mode)
Schedule refresh in Service
What is Deployment Pipeline in Power BI?
Answer:Allows dev → test → prod promotion
Available in Premium workspaces
✅ SECTION 7: Security
What is Row-Level Security (RLS)?
Answer:
Restricts data per user in the model using DAX filters on roles
Scenario: Region managers should see only their data.
Answer:
DAX
[Region] = USERNAME()
What is Object-Level Security (OLS)?
Answer:
Restricts visibility to tables/columns
What is Row-Level Security (RLS)?
Answer:Restricts data per user in the model using DAX filters on roles
Scenario: Region managers should see only their data.
Answer:DAX[Region] = USERNAME()What is Object-Level Security (OLS)?
Answer:Restricts visibility to tables/columns
✅ SECTION 8: Visualizations
Scenario: How to highlight underperforming KPIs in red and overperforming in green?
Answer:
Use conditional formatting on KPI visuals
How to show Top N products dynamically based on slicer selection?
Answer:
Use disconnected slicer + TOPN DAX + ISINSCOPE for control
Scenario: How to highlight underperforming KPIs in red and overperforming in green?
Answer:Use conditional formatting on KPI visuals
How to show Top N products dynamically based on slicer selection?
Answer:Use disconnected slicer +
TOPNDAX +ISINSCOPEfor control
✅ SECTION 9: Advanced Scenarios
Scenario: How do you handle changing column names in a source without breaking Power BI?**
Answer:
Use Table.ColumnNames dynamically
Avoid hardcoding column names
Scenario: How do you build a date table without a source?**
Answer:
DAX
DateTable = CALENDAR(DATE(2010,1,1), DATE(2030,12,31))
Scenario: How do you handle changing column names in a source without breaking Power BI?**
Answer:Use
Table.ColumnNamesdynamicallyAvoid hardcoding column names
Scenario: How do you build a date table without a source?**
Answer:DAXDateTable = CALENDAR(DATE(2010,1,1), DATE(2030,12,31))
✅ SECTION 10: Microsoft Fabric Integration (Latest)
How is Power BI integrated with Microsoft Fabric?
Answer:
Fabric unifies data engineering, warehousing, and Power BI
Power BI connects natively with Lakehouses, Warehouses, and Notebooks
Scenario: How do you build a Power BI report directly on top of a Fabric Lakehouse table?**
Answer:
Use DirectLake mode for blazing-fast performance
Requires Premium or Fabric workspace
How is Power BI integrated with Microsoft Fabric?
Answer:Fabric unifies data engineering, warehousing, and Power BI
Power BI connects natively with Lakehouses, Warehouses, and Notebooks
Scenario: How do you build a Power BI report directly on top of a Fabric Lakehouse table?**
Answer:Use DirectLake mode for blazing-fast performance
Requires Premium or Fabric workspace
✅ SECTION 11: Miscellaneous & Real-Time Challenges
What are Paginated Reports?
Answer:
Pixel-perfect reports built using Power BI Report Builder
Used for printing, invoices
Scenario: Users complain about stale data after scheduled refresh. How to troubleshoot?**
Answer:
Check refresh history logs
Validate gateway status
Use dataflow refresh monitoring
What are Paginated Reports?
Answer:Pixel-perfect reports built using Power BI Report Builder
Used for printing, invoices
Scenario: Users complain about stale data after scheduled refresh. How to troubleshoot?**
Answer:Check refresh history logs
Validate gateway status
Use dataflow refresh monitoring
✅ SECTION 12: DAX - Advanced Calculations (Cont’d)
How do you calculate a rolling 3-month average in DAX?
Answer:
DAX
Rolling3MonthAvg =
AVERAGEX(
DATESINPERIOD(DimDate[Date], MAX(DimDate[Date]), -3, MONTH),
[Total Sales]
)
Scenario: How to handle BLANK values in a DAX measure gracefully?
Answer:
DAX
Revenue = IF(ISBLANK(SUM(FactSales[SalesAmount])), 0, SUM(FactSales[SalesAmount]))
What is the difference between ALL and REMOVEFILTERS?
Answer:
ALL removes filters and returns all rows.
REMOVEFILTERS only removes filters without affecting relationships.
What is the purpose of SELECTEDVALUE()?
Answer:
Returns a single value when one is selected, blank otherwise.
Often used in dynamic titles and conditional logic.
How do you calculate a rolling 3-month average in DAX?
Answer:
DAXRolling3MonthAvg = AVERAGEX( DATESINPERIOD(DimDate[Date], MAX(DimDate[Date]), -3, MONTH), [Total Sales] )
Scenario: How to handle BLANK values in a DAX measure gracefully?
Answer:
DAXRevenue = IF(ISBLANK(SUM(FactSales[SalesAmount])), 0, SUM(FactSales[SalesAmount]))
What is the difference between
ALLandREMOVEFILTERS?
Answer:
ALLremoves filters and returns all rows.REMOVEFILTERSonly removes filters without affecting relationships.
What is the purpose of
SELECTEDVALUE()?
Answer:
Returns a single value when one is selected, blank otherwise.
Often used in dynamic titles and conditional logic.
✅ SECTION 13: Bookmarks, Drillthrough, and Interactivity
How do bookmarks work in Power BI?
Answer:
Capture the state of a report page (filters, visuals, slicers)
Used for storytelling, navigation
Scenario: You want to drill from a summary report to a detail page by clicking on a region. How?**
Answer:
Use Drillthrough page and pass the region as a filter
Add drillthrough fields and back button
What’s the difference between drilldown, drillthrough, and cross-filtering?
Answer:
Drilldown: within hierarchy (Year → Month)
Drillthrough: across pages
Cross-filtering: clicking filters other visuals
How do bookmarks work in Power BI?
Answer:
Capture the state of a report page (filters, visuals, slicers)
Used for storytelling, navigation
Scenario: You want to drill from a summary report to a detail page by clicking on a region. How?**
Answer:
Use Drillthrough page and pass the region as a filter
Add drillthrough fields and back button
What’s the difference between drilldown, drillthrough, and cross-filtering?
Answer:
Drilldown: within hierarchy (Year → Month)
Drillthrough: across pages
Cross-filtering: clicking filters other visuals
✅ SECTION 14: Gateways and Scheduled Refresh
What is the difference between personal and enterprise gateways?
Answer:
Personal: for single user, Power BI Desktop
Enterprise: for multiple users, supports data refresh, scheduling
Scenario: Scheduled refresh failed due to credential error. How to resolve?**
Answer:
Go to dataset settings in Power BI Service
Re-enter credentials and test connection
What is the difference between personal and enterprise gateways?
Answer:
Personal: for single user, Power BI Desktop
Enterprise: for multiple users, supports data refresh, scheduling
Scenario: Scheduled refresh failed due to credential error. How to resolve?**
Answer:
Go to dataset settings in Power BI Service
Re-enter credentials and test connection
✅ SECTION 15: Power BI REST API and Embedded
How do you use the Power BI REST API in enterprise deployment?
Answer:
Automate dataset refresh, manage workspaces, users
Integrate with DevOps pipelines
Scenario: You want to embed Power BI into a web app for internal users. How?**
Answer:
Use Power BI Embedded with Azure AD token
Use "App Owns Data" model
How do you use the Power BI REST API in enterprise deployment?
Answer:
Automate dataset refresh, manage workspaces, users
Integrate with DevOps pipelines
Scenario: You want to embed Power BI into a web app for internal users. How?**
Answer:
Use Power BI Embedded with Azure AD token
Use "App Owns Data" model
✅ SECTION 16: Power BI Desktop Best Practices
What are your best practices for data modeling in Power BI?
Answer:
Use star schema
Avoid calculated columns when possible
Prefer measures over columns
Use explicit measures
Scenario: Your model has multiple date fields (Order Date, Ship Date). How to handle time intelligence?**
Answer:
Use role-playing dimension for multiple date tables
Create inactive relationships and activate using USERELATIONSHIP()
What are your best practices for data modeling in Power BI?
Answer:
Use star schema
Avoid calculated columns when possible
Prefer measures over columns
Use explicit measures
Scenario: Your model has multiple date fields (Order Date, Ship Date). How to handle time intelligence?**
Answer:
Use role-playing dimension for multiple date tables
Create inactive relationships and activate using
USERELATIONSHIP()
✅ SECTION 17: Dataflows and Shared Datasets
What are dataflows in Power BI?
Answer:
Reusable Power Query transformations in the cloud
Store data in Azure Data Lake (Gen2)
Scenario: Your organization wants centralized data prep. How do you architect it?**
Answer:
Use Dataflows for ETL
Create certified/shared datasets
Build thin reports off shared models
What are dataflows in Power BI?
Answer:
Reusable Power Query transformations in the cloud
Store data in Azure Data Lake (Gen2)
Scenario: Your organization wants centralized data prep. How do you architect it?**
Answer:
Use Dataflows for ETL
Create certified/shared datasets
Build thin reports off shared models
✅ SECTION 18: Advanced Visual Customization
Scenario: How to dynamically change a measure displayed on a visual?**
Answer:
Use disconnected table for slicer
Use SWITCH(TRUE(), ...) to choose measure dynamically
How do you customize tooltips in Power BI?
Answer:
Create a Tooltip page
Assign tooltip under visual settings
Scenario: How to dynamically change a measure displayed on a visual?**
Answer:
Use disconnected table for slicer
Use
SWITCH(TRUE(), ...)to choose measure dynamically
How do you customize tooltips in Power BI?
Answer:
Create a Tooltip page
Assign tooltip under visual settings
✅ SECTION 19: Custom Visuals and R/Python Integration
What are custom visuals in Power BI?
Answer:
Visuals from AppSource or developed in-house using D3/TypeScript
Examples: Gantt, Sankey, KPI Indicators
Scenario: You want to use machine learning inside Power BI. Options?**
Answer:
Use R/Python visuals
Integrate with Azure ML
Use AutoML in Dataflows (Premium only)
What are custom visuals in Power BI?
Answer:
Visuals from AppSource or developed in-house using D3/TypeScript
Examples: Gantt, Sankey, KPI Indicators
Scenario: You want to use machine learning inside Power BI. Options?**
Answer:
Use R/Python visuals
Integrate with Azure ML
Use AutoML in Dataflows (Premium only)
✅ SECTION 20: Real-time Dashboards & Push Datasets
How do you create real-time dashboards in Power BI?
Answer:
Use push datasets via REST API
Stream data using Azure Stream Analytics or Power BI API
Scenario: IoT sensor data needs to update a dashboard every 10 seconds. Approach?**
Answer:
Use streaming dataset or hybrid push dataset
Connect using Power BI REST API
How do you create real-time dashboards in Power BI?
Answer:
Use push datasets via REST API
Stream data using Azure Stream Analytics or Power BI API
Scenario: IoT sensor data needs to update a dashboard every 10 seconds. Approach?**
Answer:
Use streaming dataset or hybrid push dataset
Connect using Power BI REST API
✅ SECTION 21: Power BI with DevOps and Version Control
How do you integrate Power BI development with CI/CD?
Answer:
Use Power BI Deployment Pipelines
Use Azure DevOps with Power BI APIs and service principals
Scenario: Your team wants to version control Power BI files. How?**
Answer:
Use pbip (Power BI Project) format (new format supporting Git)
Extract JSON artifacts and commit to Git
How do you integrate Power BI development with CI/CD?
Answer:
Use Power BI Deployment Pipelines
Use Azure DevOps with Power BI APIs and service principals
Scenario: Your team wants to version control Power BI files. How?**
Answer:
Use
pbip(Power BI Project) format (new format supporting Git)Extract JSON artifacts and commit to Git
✅ SECTION 22: Troubleshooting & Debugging
How do you identify performance bottlenecks in Power BI?
Answer:
Use Performance Analyzer
DAX Studio for query performance
Query Diagnostics in Power Query
Scenario: Visual takes 10+ seconds to load. Steps?**
Answer:
Reduce cardinality
Limit visuals on page
Optimize DAX with variables
Check data model size
How do you identify performance bottlenecks in Power BI?
Answer:
Use Performance Analyzer
DAX Studio for query performance
Query Diagnostics in Power Query
Scenario: Visual takes 10+ seconds to load. Steps?**
Answer:
Reduce cardinality
Limit visuals on page
Optimize DAX with variables
Check data model size
✅ SECTION 23: Security and Governance
How do you manage security at scale in Power BI?
Answer:
Use AAD groups for RLS roles
Apply OLS for sensitive fields
Leverage Microsoft Purview for data lineage and classification
Scenario: Users in HR should not see Salary column. Solution?**
Answer:
Use Object-Level Security (OLS) to hide Salary column from HR role
How do you manage security at scale in Power BI?
Answer:
Use AAD groups for RLS roles
Apply OLS for sensitive fields
Leverage Microsoft Purview for data lineage and classification
Scenario: Users in HR should not see Salary column. Solution?**
Answer:
Use Object-Level Security (OLS) to hide Salary column from HR role
✅ SECTION 24: New Features & Microsoft Fabric
What is DirectLake mode in Power BI (Fabric)?
Answer:
Connects directly to Delta tables in Fabric Lakehouse
Combines import performance with real-time freshness
Scenario: How do you enable DirectLake mode on a Lakehouse table?**
Answer:
Ensure Lakehouse and workspace are in Premium/Fabric
Add Delta table to semantic model and choose DirectLake
What is DirectLake mode in Power BI (Fabric)?
Answer:
Connects directly to Delta tables in Fabric Lakehouse
Combines import performance with real-time freshness
Scenario: How do you enable DirectLake mode on a Lakehouse table?**
Answer:
Ensure Lakehouse and workspace are in Premium/Fabric
Add Delta table to semantic model and choose DirectLake
✅ [61–100]: Short Questions (One-Liners) for Rapid Review
What is the difference between Import and DirectQuery?
→ Import caches data, faster; DirectQuery queries source live.
How can you reduce model size?
→ Remove unnecessary columns, use integers, reduce cardinality.
What is the VertiPaq engine?
→ In-memory engine for columnar storage and compression in Power BI.
Can we have multiple fact tables in one model?
→ Yes, but use shared dimensions for clarity.
What is a Thin Report?
→ A report connected to a shared dataset, no model inside.
What’s the max dataset size in Import Mode (Pro)?
→ 1 GB (Premium: 100 GB+ with XMLA endpoint)
What is incremental refresh?
→ Only refreshes new/changed data.
Which visuals support drillthrough?
→ Tables, matrices, charts (bar, column, etc.)
How do you hide a table from report view?
→ Right-click table > Hide in report view.
What is composite modeling?
→ Combine Import and DirectQuery in one model.
What is field parameter?
→ Allows dynamic column/measure switching.
Difference between report and dashboard?
→ Report: multiple pages, interactive; Dashboard: one-page, pinned visuals.
Can you apply RLS in a live connection?
→ Only if model has roles defined in Analysis Services.
How do you enable Q&A in a report?
→ Add Q&A visual, enable natural language processing.
Can you export Power BI report to PDF programmatically?
→ Yes, using Power BI REST API (Export Report)
How to monitor dataset refresh history?
→ Dataset > Settings > Refresh History
What is Data Profiling in Power Query?
→ Shows column quality, distribution, statistics.
What is the role of relationship cardinality in performance?
→ Lower cardinality improves performance.
Can Power BI connect to a REST API?
→ Yes, via Web connector and M scripting.
What is the advantage of parameterized queries in Power BI?
→ Reusability and flexibility in filtering/refreshing.
What are certified datasets?
→ Trusted datasets certified by admins.
Difference between Calculated Column and Measure?
→ Column: row context, stored; Measure: dynamic, not stored.
What is ISINSCOPE() used for?
→ Detects hierarchy levels in visuals.
What is DAX Studio?
→ External tool for performance tuning, writing DAX.
What is Tabular Editor used for?
→ Editing metadata, DAX, deploying to models.
What’s a semantic model in Fabric?
→ Fabric term for Power BI datasets.
What is a composite model limitation?
→ Relationships between two DirectQuery sources not allowed.
Can Power BI connect to Snowflake?
→ Yes, with DirectQuery or Import mode.
What’s a disconnected table in DAX?
→ Not joined physically; used for slicer-based logic.
What is drilldown vs drillthrough?
→ Drilldown: within same visual; Drillthrough: across pages.
What is an aggregation table?
→ Summary table used for performance in DirectQuery.
How to use TREATAS()?
→ Applies a virtual relationship using a table.
What is USERELATIONSHIP()?
→ Temporarily activates an inactive relationship.
Can Power BI use parameters like SSRS?
→ Yes, via Query Parameters in Power Query.
How is licensing different in Embedded vs Pro?
→ Embedded uses capacity-based licensing, Pro is per-user.
What is the role of security groups in RLS?
→ Map roles to AAD groups for easier management.
Can you set alerts in Power BI dashboards?
→ Yes, only in dashboards (not reports) and for cards/gauges.
What is KEEPFILTERS() in DAX?
→ Preserves existing filters instead of overriding.
How does Power BI handle nulls in relationships?
→ Nulls never match; relationship doesn’t propagate.
How do you maintain folder structures in fields pane?
→ Use display folders in model view.
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What is the difference between Import and DirectQuery?
→ Import caches data, faster; DirectQuery queries source live.How can you reduce model size?
→ Remove unnecessary columns, use integers, reduce cardinality.What is the VertiPaq engine?
→ In-memory engine for columnar storage and compression in Power BI.Can we have multiple fact tables in one model?
→ Yes, but use shared dimensions for clarity.What is a Thin Report?
→ A report connected to a shared dataset, no model inside.What’s the max dataset size in Import Mode (Pro)?
→ 1 GB (Premium: 100 GB+ with XMLA endpoint)What is incremental refresh?
→ Only refreshes new/changed data.Which visuals support drillthrough?
→ Tables, matrices, charts (bar, column, etc.)How do you hide a table from report view?
→ Right-click table > Hide in report view.What is composite modeling?
→ Combine Import and DirectQuery in one model.What is field parameter?
→ Allows dynamic column/measure switching.Difference between report and dashboard?
→ Report: multiple pages, interactive; Dashboard: one-page, pinned visuals.Can you apply RLS in a live connection?
→ Only if model has roles defined in Analysis Services.How do you enable Q&A in a report?
→ Add Q&A visual, enable natural language processing.Can you export Power BI report to PDF programmatically?
→ Yes, using Power BI REST API (Export Report)How to monitor dataset refresh history?
→ Dataset > Settings > Refresh HistoryWhat is Data Profiling in Power Query?
→ Shows column quality, distribution, statistics.What is the role of relationship cardinality in performance?
→ Lower cardinality improves performance.Can Power BI connect to a REST API?
→ Yes, via Web connector and M scripting.What is the advantage of parameterized queries in Power BI?
→ Reusability and flexibility in filtering/refreshing.What are certified datasets?
→ Trusted datasets certified by admins.Difference between Calculated Column and Measure?
→ Column: row context, stored; Measure: dynamic, not stored.What is
ISINSCOPE()used for?
→ Detects hierarchy levels in visuals.What is DAX Studio?
→ External tool for performance tuning, writing DAX.What is Tabular Editor used for?
→ Editing metadata, DAX, deploying to models.What’s a semantic model in Fabric?
→ Fabric term for Power BI datasets.What is a composite model limitation?
→ Relationships between two DirectQuery sources not allowed.Can Power BI connect to Snowflake?
→ Yes, with DirectQuery or Import mode.What’s a disconnected table in DAX?
→ Not joined physically; used for slicer-based logic.What is drilldown vs drillthrough?
→ Drilldown: within same visual; Drillthrough: across pages.What is an aggregation table?
→ Summary table used for performance in DirectQuery.How to use
TREATAS()?
→ Applies a virtual relationship using a table.What is
USERELATIONSHIP()?
→ Temporarily activates an inactive relationship.Can Power BI use parameters like SSRS?
→ Yes, via Query Parameters in Power Query.How is licensing different in Embedded vs Pro?
→ Embedded uses capacity-based licensing, Pro is per-user.What is the role of security groups in RLS?
→ Map roles to AAD groups for easier management.Can you set alerts in Power BI dashboards?
→ Yes, only in dashboards (not reports) and for cards/gauges.What is
KEEPFILTERS()in DAX?
→ Preserves existing filters instead of overriding.How does Power BI handle nulls in relationships?
→ Nulls never match; relationship doesn’t propagate.How do you maintain folder structures in fields pane?
→ Use display folders in model view.
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