In Excel Power Query, what is the main difference between loading data to a worksheet and loading data to the data model?
Think about where you see the data after loading and how Excel uses it.
Loading to worksheet shows data in a visible Excel sheet. Loading to data model stores data inside Excel's internal database, enabling advanced analysis like PivotTables without cluttering sheets.
You have a large dataset with 1 million rows. You want to analyze it with PivotTables but avoid slowing down Excel. Which load option should you choose?
Think about Excel's row limits and performance with large data.
Loading large data to the data model allows Excel to handle millions of rows efficiently using compression and fast querying. Loading to worksheet is limited to about 1,048,576 rows and can slow Excel.
Given a data model with a Sales table containing columns: Product, Region, and SalesAmount, what is the result of this DAX measure?
Total Sales West = CALCULATE(SUM(Sales[SalesAmount]), Sales[Region] = "West")
If the Sales table has these rows:
- Product A, West, 100
- Product B, East, 200
- Product C, West, 150
What is the value of Total Sales West?
Sum only sales where Region is West.
The measure sums SalesAmount only for rows where Region equals "West": 100 + 150 = 250.
You try to load data to the data model but get an error. Which of these is the most likely cause?
Think about what data model loading supports in queries.
Queries that reference worksheet cells or tables cannot be loaded directly to the data model because the data model requires fully queryable data sources.
You have loaded sales data to the Excel data model. You want to create an interactive report that lets users slice by Region and Product and see total sales. Which visualization approach is best?
Think about interactivity and using the data model.
PivotTables connected to the data model allow fast, interactive slicing and dicing of large datasets without loading all data into worksheets.