What does a Factor of Safety (FoS) value of 2 mean in a mechanical design?
Think about safety margin as a multiplier of expected load.
A Factor of Safety of 2 means the design can safely withstand twice the expected maximum load, providing a safety margin.
You have a dataset of parts with their individual Factor of Safety values. Which DAX measure correctly calculates the average Factor of Safety across all parts?
Use the function that directly calculates the mean of a column.
The AVERAGE function calculates the mean value of the FactorOfSafety column, which is the correct way to find the average FoS.
Which visualization best shows the distribution of Factor of Safety values across multiple parts to identify any parts with low safety margins?
Think about how to show frequency of values in ranges.
A histogram groups Factor of Safety values into ranges and shows how many parts fall into each range, making it easy to spot low safety margins.
A DAX measure intended to calculate the minimum Factor of Safety per material is written as:MinFoS = MINX(Parts, Parts[FactorOfSafety])
Why does this measure return the same value for all materials instead of the minimum per material?
MinFoS = MINX(Parts, Parts[FactorOfSafety])
Consider how row context and filters affect MINX.
MINX iterates over the entire Parts table without filtering by material, so it returns the overall minimum Factor of Safety, not per material.
You have a report showing Factor of Safety for 100 parts. Parts with FoS below 1.5 are critical. You want to create a Power BI dashboard that highlights these critical parts and shows their count by material. Which approach best achieves this?
Think about how to flag and filter critical parts dynamically.
Creating a calculated column flagging critical parts allows easy filtering and visualization of counts by material, making it clear which parts need attention.
