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PL-900 Practice Question: A company uses Power BI to monitor manufacturing…

A company uses Power BI to monitor manufacturing efficiency. The dataset includes a column 'RunTime' (in minutes) and 'DownTime' (in minutes). A user wants to calculate 'Availability' as (RunTime / (RunTime + DownTime)) * 100. Which DAX measure should be used?

⚠ Common exam trap

It's easy for candidates to confuse aggregate-level calculations (using SUM) with row-level calculations (using SUMX or AVERAGE), and they may forget to multiply by 100 when the requirement explicitly asks for a percentage value.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Availability = DIVIDE(SUM([RunTime]), SUM([RunTime])+SUM([DownTime])) * 100

It uses the DIVIDE function to safely handle division by zero, and multiplies by 100 to express the result as a percentage. The formula sums RunTime and DownTime across all rows, then computes Availability = (Total RunTime / (Total RunTime + Total DownTime)) * 100, which matches the user's requirement exactly.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Availability = DIVIDE(SUM([RunTime]), SUM([RunTime])+SUM([DownTime])) * 100

    Why this is correct

    Correctly calculates percentage.

  • Availability = DIVIDE(SUM([RunTime]), SUM([RunTime])+SUM([DownTime]))

    Why it's wrong here

    This returns a decimal, not a percentage.

  • Availability = AVERAGE(Table[RunTime]) / (AVERAGE(Table[RunTime])+AVERAGE(Table[DownTime])) * 100

    Why it's wrong here

    This averages run time per row, not total availability.

  • Availability = SUMX(Table, [RunTime]/([RunTime]+[DownTime])) * 100

    Why it's wrong here

    SUMX is used for row-by-row evaluation but may not aggregate correctly without context.

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