✅ Power BI Scenario-Based Questions 📊⚡

🧮 Scenario 1: Measure vs. Calculated Column
Question: You need to create a new column to categorize sales as “High” or “Low” based on a threshold. Would you use a calculated column or a measure? Why?
Answer: I would use a calculated column because the categorization is row-level logic and needs to be stored in the data model for filtering and visual grouping. Measures are better suited for aggregations and calculations on summarized data.

🔁 Scenario 2: Handling Data from Multiple Sources
Question: How would you combine data from Excel, SQL Server, and a web API into a single Power BI report?
Answer: I’d use Power Query to connect to each data source and perform necessary transformations. Then, I’d establish relationships in the data model using the Manage Relationships pane. I’d ensure consistent data types and structure before building visuals that integrate insights across all sources.

🔐 Scenario 3: Row-Level Security
Question: How would you ensure that different departments only see data relevant to them in a Power BI report?
×Answer:× I’d implement ×Row-Level Security (RLS)× by defining roles in Power BI Desktop using DAX filters (e.g., [Department] = USERNAME()), then publish the report to the Power BI Service and assign users to the appropriate roles.

📉 Scenario 4: Reducing Dataset Size
Question: Your Power BI model is too large and hitting performance limits. What would you do?
Answer: I’d remove unused columns, reduce granularity where possible, and switch to star schema modeling. I might also aggregate large tables, optimize DAX, and disable auto date/time features to save space.

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