
Power BI & Tableau Resources
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📊 Q1. Your report is very slow. How do you optimize it?
👉 Reduce visuals & unnecessary columns
👉 Use proper data model (Star Schema)
👉 Optimize DAX (avoid heavy iterators)
👉 Use aggregations & indexing
👉 Disable auto date/time if not needed
📊 Q2. Difference between CALCULATE & FILTER in DAX?
👉 CALCULATE → Modifies filter context
👉 FILTER → Returns a filtered table
💡 Often used together for advanced logic
📊 Q3. What is Context Transition in DAX?
👉 Converts row context into filter context (via CALCULATE)
👉 Critical in calculated columns & iterators
📊 Q4. SUM vs SUMX — when to use?
👉 SUM → Direct column aggregation
👉 SUMX → Row-by-row calculation (iterator)
💡 Use SUMX only when logic is required
📊 Q5. How do you handle Many-to-Many relationships?
👉 Use bridge table
👉 Apply proper dimensional modeling
👉 Avoid direct many-to-many where possible
📊 Q6. What is the difference between Import vs DirectQuery?
👉 Import → Faster, in-memory performance
👉 DirectQuery → Real-time but depends on source performance
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Question: How would you write a DAX formula to calculate a running total that resets every year?
RunningTotal =
CALCULATE( SUM('Sales'[Amount]),
FILTER( ALL('Sales'),
'Sales'[Year] = EARLIER('Sales'[Year]) &&
'Sales'[Date] <= EARLIER('Sales'[Date])))
Question: How would you manage and optimize Power BI reports that need to handle very large datasets (millions of rows)?
Solution:
1. Use DirectQuery mode if real-time data is needed.
2. Pre-aggregate data in the data source.
3. Use dataflows for preprocessing.
4. Implement incremental refresh.
Question: What steps would you take if a scheduled data refresh in Power BI fails?
Solution:
Check the Power BI service for error messages.
Verify data source connectivity and credentials.
Review gateway configuration.
Optimize and simplify the query.
Question: How would you create a report that dynamically updates based on user input or selections?
Solution: Use slicers and what-if parameters. Create dynamic measures using DAX that respond to user selections.
Question: How would you incorporate advanced analytics or machine learning models into Power BI?
Solution:
Use R or Python scripts in Power BI to apply advanced analytics.
Integrate with Azure Machine Learning to embed predictive models.
Use AI visuals like Key Influencers or Decomposition Tree.
Question: How would you integrate Power BI with other Microsoft services like SharePoint, Teams, or PowerApps?
Solution: Embed Power BI reports in SharePoint Online and Microsoft Teams. Use PowerApps to create custom forms that interact with Power BI data. Automate workflows with Power Automate.
Question: How to use if Parameters in Power BI?
Go to "Manage Parameters":
Navigate to the "Home" tab in the ribbon.
Click on "Manage Parameters" from the "External Tools" group.
Click on "New Parameter."
Enter a name for the parameter and select its data type (e.g., Text, Decimal Number, Integer, Date/Time).
Optionally, set the default value and any available values (for dropdown selection).
Question: What is the role of Power BI Paginated Reports and when are they used?
Solution: Power BI Paginated Reports (formerly SQL Server Reporting Services or SSRS) are used for pixel-perfect, printable, and paginated reports. They are typically used for operational and transactional reporting scenarios where precise formatting and layout control are required, such as invoices, statements, or regulatory reports.
Question: What are the options available for managing query parameters in Power Query Editor?
Solution: Power Query Editor allows users to define and manage query parameters to dynamically control data loading and transformation. Parameters can be created from values in the data source, entered manually, or generated from expressions, providing flexibility and reusability in query design.
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1️⃣ What is Power BI and what is it used for?
Answer: Power BI is a business analytics tool by Microsoft to visualize data, create reports, and share insights across organizations.
2️⃣ What are the main components of Power BI?
Answer: Power BI Desktop, Power BI Service (Cloud), Power BI Mobile, Power BI Gateway, and Power BI Report Server.
3️⃣ What is a DAX in Power BI?
Answer: Data Analysis Expressions (DAX) is a formula language used to create custom calculations in Power BI.
4️⃣ What is the difference between a calculated column and a measure?
Answer: Calculated columns are row-level computations stored in the table. Measures are aggregations computed at query time.
5️⃣ What is the difference between Power BI Desktop and Power BI Service?
Answer: Desktop is for building reports and data modeling. Service is for publishing, sharing, and collaboration online.
6️⃣ What is a data model in Power BI?
Answer: A data model organizes tables, relationships, and calculations to efficiently analyze and visualize data.
7️⃣ What is the difference between DirectQuery and Import mode?
Answer: Import loads data into Power BI, faster for analysis. DirectQuery queries the source directly, no data is imported.
8️⃣ What are slicers in Power BI?
Answer: Visual filters that allow users to dynamically filter report data.
9️⃣ What is Power Query?
Answer: A data connection and transformation tool in Power BI used for cleaning and shaping data before loading.
1️⃣0️⃣ What is the difference between a table visual and a matrix visual?
Answer: Table displays data in simple rows and columns. Matrix allows grouping, row/column hierarchies, and aggregations.
1️⃣1️⃣ What is a Power BI dashboard?
Answer: A single-page collection of visualizations from multiple reports for quick insights.
1️⃣2️⃣ What is a relationship in Power BI?
Answer: Links between tables that define how data is connected for accurate aggregations and filtering.
1️⃣3️⃣ What are filters in Power BI?
Answer: Visual-level, page-level, or report-level filters to restrict data shown in reports.
1️⃣4️⃣ What is Power BI Gateway?
Answer: A bridge between on-premise data sources and Power BI Service for scheduled refreshes.
1️⃣5️⃣ What is the difference between a report and a dashboard?
Answer: Reports can have multiple pages and visuals; dashboards are single-page, with pinned visuals from reports.
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📊 Q1. Calculated Column vs Measure
Scenario: When should you use each?
👉 Calculated Column → Row-level, stored in model
👉 Measure → Aggregated, calculated on the fly
👉 Use measures for dynamic analysis
👉 Use columns for relationships / filtering
📊 Q2. Total Sales Calculation
Scenario: Calculate total revenue from dataset
👉 Use SUM(Sales[Amount])
👉 Create a measure for dynamic visuals
👉 Can combine with filters using CALCULATE()
👉 Used across dashboards
📊 Q3. Time Intelligence Analysis
Scenario: Compare current vs previous month sales
👉 Use DATEADD() or PREVIOUSMONTH()
👉 Create MoM growth measure
👉 Use CALCULATE() with time filters
👉 Helps track trends over time
📊 Q4. Filter Context vs Row Context
Scenario: Why results differ in measures?
👉 Row Context → Works row by row
👉 Filter Context → Applies filters on data
👉 CALCULATE() modifies filter context
👉 Key concept for accurate DAX results
📊 Q5. Top N Analysis
Scenario: Find top 5 products by sales
👉 Use TOPN() function
👉 Combine with SUMX() if needed
👉 Sort based on sales measure
👉 Useful for performance insights
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