CALCULATE(SUM(Sales[Amount]), Sales[Region] = "West") -> Option A
Quick Check:
CALCULATE(expression, filter) correct syntax [OK]
Hint: Use comma to separate filters inside CALCULATE [OK]
Common Mistakes:
Using FILTER keyword incorrectly inside CALCULATE
Using WHERE instead of filter arguments
Using double equals (==) instead of single equals (=) in filters
3. Given this measure: Total West Sales = CALCULATE(SUM(Sales[Amount]), Sales[Region] = "West") What is the output if Sales table has: - Region: East, Amount: 100 - Region: West, Amount: 200 - Region: West, Amount: 300 ?
medium
A. 600
B. 500
C. 300
D. 100
Solution
Step 1: Identify rows matching filter
Filter is Sales[Region] = "West", so rows with amounts 200 and 300 match.
Step 2: Sum amounts of filtered rows
Sum = 200 + 300 = 500.
Final Answer:
500 -> Option B
Quick Check:
Sum of West region sales = 500 [OK]
Hint: Sum only rows where Region = West [OK]
Common Mistakes:
Adding all rows ignoring filter
Adding only one West row
Confusing East and West regions
4. You wrote this measure: West Sales = CALCULATE(SUM(Sales[Amount]), FILTER(Sales, Sales[Region] = "West")) But it returns the total sales for all regions. What is the likely problem?
medium
A. FILTER function is missing a table argument
B. The filter condition inside FILTER is incorrect
C. CALCULATE ignores FILTER and uses all rows by default
D. The FILTER function returns a table but CALCULATE expects a boolean filter
Solution
Step 1: Understand FILTER inside CALCULATE
FILTER returns a table of rows matching condition, which is valid inside CALCULATE.
Step 2: Check why all rows are included
If measure returns all sales, likely the filter is ignored or overridden by outer filter context.
Step 3: Identify common mistake
Sometimes users expect FILTER to act like a boolean filter, but it returns a table. If misused, CALCULATE may ignore it.
Final Answer:
The FILTER function returns a table but CALCULATE expects a boolean filter -> Option D
5. You want to create a measure that sums sales only for the current year selected in a slicer, but also always filters Region = "East" regardless of slicer. Which DAX expression correctly applies this filter context?
hard
A. CALCULATE(SUM(Sales[Amount]), Sales[Region] = "East")
B. CALCULATE(SUM(Sales[Amount]), ALL(Sales[Year]), Sales[Region] = "East")
C. CALCULATE(SUM(Sales[Amount]), Sales[Region] = "East", REMOVEFILTERS(Sales[Year]))
D. CALCULATE(SUM(Sales[Amount]), FILTER(ALL(Sales), Sales[Region] = "East"))
Solution
Step 1: Understand slicer effect on filter context
Slicer on Year creates filter context for current year automatically.
Step 2: Add fixed filter for Region
Adding Sales[Region] = "East" inside CALCULATE adds this filter on top of slicer filters.
Step 3: Check options for preserving slicer
CALCULATE(SUM(Sales[Amount]), Sales[Region] = "East") keeps slicer filter on Year and adds Region filter. CALCULATE(SUM(Sales[Amount]), ALL(Sales[Year]), Sales[Region] = "East") removes Year filter with ALL, which is wrong. CALCULATE(SUM(Sales[Amount]), Sales[Region] = "East", REMOVEFILTERS(Sales[Year])) removes Year filter with REMOVEFILTERS, which is wrong. CALCULATE(SUM(Sales[Amount]), FILTER(ALL(Sales), Sales[Region] = "East")) removes all filters with ALL, losing slicer effect.
Final Answer:
CALCULATE(SUM(Sales[Amount]), Sales[Region] = "East") -> Option A
Quick Check:
CALCULATE adds Region filter, keeps slicer Year filter [OK]
Hint: Add fixed filter in CALCULATE, slicer filters stay [OK]
Common Mistakes:
Using ALL removes slicer filters unintentionally
Using REMOVEFILTERS removes slicer filters unintentionally
Overriding slicer filters when not needed
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