Imagine you want to make a report about sales. Why must you connect to the data source first?
Think about what Power BI needs to show charts and numbers.
Power BI needs data to work with. Connecting to data sources brings the data into Power BI so you can build visuals and do analysis.
You want to analyze customer feedback stored in a cloud database and sales data in Excel files. What should you do first in Power BI?
Think about where your data lives and how Power BI can access it.
Power BI can connect to many data sources including cloud databases and Excel files. Connecting to all relevant sources ensures you have complete data for analysis.
After connecting a sales table with columns: Product, Quantity, and Price, you create this measure:
Total Sales = SUMX(Sales, Sales[Quantity] * Sales[Price])
What will be the result if the Sales table has these rows?
Product | Quantity | Price A | 2 | 10 B | 3 | 15 C | 1 | 20
Multiply quantity by price for each row, then add all.
Total Sales sums Quantity * Price for each product: (2*10)+(3*15)+(1*20) = 20+45+20 = 85.
You try to connect Power BI to a SQL Server database but get an error. Which option is the most likely cause?
Check the connection details carefully.
Incorrect server name or login details cause connection errors. Power BI supports SQL Server connections.
You connected sales data from a database and customer demographics from Excel. You want to show total sales by customer age group. Which visualization is best?
Think about how to compare sales across age groups visually.
A bar chart clearly compares total sales across different age groups, making it easy to see differences.