Skip to content
datastudyguides

PL-300 · 2.2.5 · Model the data

Semi-additive measures

Create semi-additive measures

aggregate across some dimensions but require special handling across time.

A snapshot cannot always be summed over time

Power BI Desktop showing a DAX measure and its formula in the formula bar.

Sales events are additive across time. A balance, inventory level, or headcount is a snapshot: adding January and February usually counts the same continuing state twice.

Add across one dimension, not another

A can still be additive across dimensions such as product or location. The special treatment is usually the time dimension.

Business value Across products Across months
Units sold Sum Sum
Inventory on hand Sum Usually take a point in time
Account balance Sum Usually take a point in time

Opening and closing balance

Power BI report matrix showing time-intelligence results such as year-over-year calculations.

Opening-balance functions evaluate at a period's beginning; closing-balance functions evaluate at its end. Both depend on reliable date context.

Exam clue: balance, stock, or headcount over time is a semi-additive warning sign.

Key points

  • Balances: usually should not sum across time
  • Closing balance: evaluates the period's last date
  • Opening balance: evaluates the period's first date
  • : required for time-intelligence functions

Click an underlined term for a one-line explanation, or see them all in the glossary .

Exam trap

Summing monthly balances across a year usually double counts the same continuing balance.

Sources · 3 Microsoft Learn pages Show ▾

Checked on October 4, 2026. Report a problem

Go deeper on Microsoft Learn

Checked against Microsoft Learn on October 4, 2026. Report a problem with this card

How well do you know this?