Power BI Masterclass - Cumulative Total Sales for Custom Financial Years with Power BI DAX

The video tutorial explores time intelligence in Power BI, focusing on cumulative sums based on different financial years. It covers importing and transforming data, creating date tables, and building models for calculations. The tutorial demonstrates how to customize financial year calculations, ensuring cumulative sales are accurately tracked according to specific fiscal periods.

What is the default start month for cumulative sums in Power BI?

• July

• October

• January

• April

In Power BI, what is the first step to import data from an Excel file?

• Create a new measure

• Open Power Query Editor

• Set up a date table

• Click on 'Get Data'

Which Power Query Editor option is used to fill missing data in a column?

• Fill Down

• Replace Values

• Group By

• Remove Duplicates

Why is it important to adjust data types in Power BI?

• To ensure data accuracy

• To create new columns

• To increase data size

• To remove duplicates

What feature in Power BI allows customization of date formats based on locale?

• Using Locale

• Data Type Conversion

• Table Relationships

• Data Import Wizard

What is the purpose of creating a date table in Power BI?

• To import Excel files

• To create new measures

• To store employee data

• To manage time-based calculations

How do you establish relationships between tables in Power BI?

• Adjust data types

• Create a new measure

• Use the 'Get Data' option

• Drag and drop fields

Which function is used to calculate cumulative sales in Power BI?

• Average

• Sum

• Count

• Total Year to Date

How can you modify the default financial year in Power BI for cumulative calculations?

• By specifying the year end in the Total Year to Date function

• By changing the data type

• By importing a new data source

• By renaming the table

What is the result of using the 'ALL' function in a cumulative calculation?

• It removes all filters

• It changes the data type

• It duplicates the data

• It adds new filters