The answer is that the measure is likely using ALL or ALLEXCEPT, which removes the filter context from the Date table, causing the slicer override. When a DAX measure includes a filter removal function like ALL(Date[Year]) or ALLEXCEPT(Orders, ...), it explicitly ignores the filter coming from the Date slicer, even though the single-direction relationship from Orders to Date is correctly configured. On the Microsoft Power BI Data Analyst PL-300 exam, this scenario tests your understanding of how DAX filter removal functions interact with slicer context—a common trap where candidates assume slicers always work together. The key insight is that ALL and ALLEXCEPT strip away existing filters, so a slicer on Date[Year] becomes powerless if the measure discards that filter. Memory tip: “ALL removes all, so slicers fall.”
PL-300 Model the data Practice Question
This PL-300 practice question tests your understanding of model the data. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A Power BI data model includes a table 'Orders' with columns OrderID, CustomerID, OrderDate, SalesAmount. The model also has a 'Date' table and a 'Customer' table. The relationships are: Orders[CustomerID] -> Customer[CustomerID] (many-to-one, single direction) and Orders[OrderDate] -> Date[Date] (many-to-one, single direction). A user creates a measure that sums SalesAmount and then filters by a slicer on Customer[City]. The slicer works correctly. However, when the user adds another slicer on Date[Year], the measure does not respect both slicers simultaneously. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The measure might be using ALL or ALLEXCEPT that removes the filter context from the Date table.
Option D is correct because the measure likely uses ALL or ALLEXCEPT, which removes the filter context from the Date table. Even though the relationships are correctly configured and filters from the Date slicer propagate to Orders via the single-direction relationship, if the measure explicitly ignores those filters using a function like ALL(Date[Year]) or ALLEXCEPT(Orders, ...), the Date slicer will have no effect on the measure. This is a common DAX mistake where filter removal functions override slicer selections.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
The Customer and Date tables are not related to each other.
Why it's wrong here
They don't need to be related; they both connect to Orders.
✗
The relationship between Orders and Date is inactive.
Why it's wrong here
The scenario says it is active.
✗
The relationships are set to single direction, so filters from Date do not propagate to Orders.
Why it's wrong here
Single-direction relationships allow filters from Date to propagate to Orders.
✓
The measure might be using ALL or ALLEXCEPT that removes the filter context from the Date table.
Why this is correct
If the measure removes filters from Date, then the slicer on Date[Year] would be ignored.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume filter propagation direction is the problem, but the real issue is that DAX filter removal functions like ALL or ALLEXCEPT can silently override slicer filters, making it appear as though the relationship is broken.
Trap categories for this question
Scenario analysis trap
The scenario says it is active.
Detailed technical explanation
How to think about this question
In DAX, filter context flows from the 'one' side to the 'many' side in single-direction relationships. When a measure uses ALL or ALLEXCEPT, it removes all or specified filters from the filter context, effectively ignoring slicer selections on those columns. For example, `SUMX(ALL(Date), [SalesAmount])` would ignore the Date[Year] slicer. This behavior is critical when building measures that need to respect multiple slicers simultaneously.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Model the data — This question tests Model the data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The measure might be using ALL or ALLEXCEPT that removes the filter context from the Date table. — Option D is correct because the measure likely uses ALL or ALLEXCEPT, which removes the filter context from the Date table. Even though the relationships are correctly configured and filters from the Date slicer propagate to Orders via the single-direction relationship, if the measure explicitly ignores those filters using a function like ALL(Date[Year]) or ALLEXCEPT(Orders, ...), the Date slicer will have no effect on the measure. This is a common DAX mistake where filter removal functions override slicer selections.
What should I do if I get this PL-300 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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