Power BI Interview Questions
1️⃣ What are the key components of Power BI?
2️⃣ How do you establish relationships between tables in Power BI?
3️⃣ What is the difference between a calculated column and a measure in DAX?
4️⃣ What are the different types of Power BI filters?
5️⃣ How does Power BI handle missing values?
6️⃣ Explain the difference between DirectQuery and Import Mode in Power BI.
7️⃣ How do you optimize a slow Power BI report?
8️⃣ What is row-level security (RLS) in Power BI?
9️⃣ What is the difference between SUM() and SUMX() in DAX?
🔟 How do you create dynamic filtering in Power BI?
1️⃣1️⃣ Explain the VAR function in DAX and when to use it.
1️⃣2️⃣ How do you implement Python integration in Power BI for advanced analytics?
1️⃣3️⃣ How do you create a forecasting model in Power BI using machine learning?
1️⃣4️⃣ What are composite models in Power BI, and why are they useful?
1️⃣5️⃣ How would you handle incremental data refresh in Power BI?
2️⃣ How do you establish relationships between tables in Power BI?
3️⃣ What is the difference between a calculated column and a measure in DAX?
4️⃣ What are the different types of Power BI filters?
5️⃣ How does Power BI handle missing values?
6️⃣ Explain the difference between DirectQuery and Import Mode in Power BI.
7️⃣ How do you optimize a slow Power BI report?
8️⃣ What is row-level security (RLS) in Power BI?
9️⃣ What is the difference between SUM() and SUMX() in DAX?
🔟 How do you create dynamic filtering in Power BI?
1️⃣1️⃣ Explain the VAR function in DAX and when to use it.
1️⃣2️⃣ How do you implement Python integration in Power BI for advanced analytics?
1️⃣3️⃣ How do you create a forecasting model in Power BI using machine learning?
1️⃣4️⃣ What are composite models in Power BI, and why are they useful?
1️⃣5️⃣ How would you handle incremental data refresh in Power BI?
Source: Ghansham Badgujar LinkedIn Profile.
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