The most likely cause of the error is that the [Sales Amount] measure is returning multiple values or is not a valid scalar measure. This happens because DAX measures used in EVALUATE statements must resolve to a single scalar value, but the measure’s definition—often involving SUMX over a table without proper aggregation or a many-to-many relationship—produces multiple rows instead. On the Microsoft Power BI Data Analyst PL-300 exam, this error frequently appears in questions testing your understanding of measure context and scalar requirements, often as a trap where a calculated column is mistakenly used in a measure context. The key is to remember that any measure used in a row context or filter context must be wrapped in an aggregator like SUM or AVERAGE to collapse multiple values into one. Memory tip: think “scalar means singular”—if your measure can return more than one value, DAX will throw this error.
PL-300 Model the data Practice Question
This PL-300 practice question tests your understanding of model the data. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
Exhibit
Refer to the exhibit.
Exhibit: DAX query from Performance Analyzer
EVALUATE
SUMMARIZECOLUMNS(
'Date'[Year],
'Product'[Category],
"Total Sales", [Sales Amount]
)
ORDER BY 'Date'[Year], 'Product'[Category]
This query returns the following error: "The expression references multiple columns. Multiple columns cannot be converted to a scalar value."
What is the most likely cause of the error in the DAX query shown in the exhibit?
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.
Refer to the exhibit.
Exhibit: DAX query from Performance Analyzer
EVALUATE
SUMMARIZECOLUMNS(
'Date'[Year],
'Product'[Category],
"Total Sales", [Sales Amount]
)
ORDER BY 'Date'[Year], 'Product'[Category]
This query returns the following error: "The expression references multiple columns. Multiple columns cannot be converted to a scalar value."
A
The [Sales Amount] measure is returning multiple values or is not a valid scalar measure.
The error indicates that the measure is not a scalar, likely because it references multiple columns without aggregation.
B
There is no relationship between Date and Product tables.
Why wrong: The error is not about relationships.
C
The SUMMARIZECOLUMNS function does not support multiple group-by columns.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The [Sales Amount] measure is returning multiple values or is not a valid scalar measure.
The error 'A single value for column 'Sales Amount' in table 'Sales' cannot be determined' occurs because the [Sales Amount] measure is being used in a context that expects a scalar value, but the measure is defined to return multiple values (e.g., using SUMX over a table that returns multiple rows without proper aggregation). In DAX, measures used in EVALUATE statements must return a single scalar value; if the measure is not properly aggregated or contains a many-to-many relationship, it can produce multiple values, causing this error.
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 [Sales Amount] measure is returning multiple values or is not a valid scalar measure.
Why this is correct
The error indicates that the measure is not a scalar, likely because it references multiple columns without aggregation.
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.
✗
There is no relationship between Date and Product tables.
Why it's wrong here
The error is not about relationships.
✗
The SUMMARIZECOLUMNS function does not support multiple group-by columns.
The ORDER BY clause is not allowed in EVALUATE statements.
Why it's wrong here
ORDER BY is allowed in EVALUATE statements.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often misdiagnose the error as a missing relationship or syntax issue, when the root cause is a measure returning multiple values due to improper aggregation or context.
Detailed technical explanation
How to think about this question
Under the hood, SUMMARIZECOLUMNS performs implicit grouping and uses a context transition for measures; if a measure is not a valid scalar (e.g., it returns a table or multiple rows due to an unaggregated column reference), the engine throws a 'single value cannot be determined' error. A real-world scenario is when a measure like [Sales Amount] is defined as SUMX(Sales, Sales[Quantity] * Sales[Price]) but the Price column is from a related table with multiple matching rows, causing ambiguity. This error is common when measures are inadvertently written without proper aggregation functions like SUM or MIN.
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 [Sales Amount] measure is returning multiple values or is not a valid scalar measure. — The error 'A single value for column 'Sales Amount' in table 'Sales' cannot be determined' occurs because the [Sales Amount] measure is being used in a context that expects a scalar value, but the measure is defined to return multiple values (e.g., using SUMX over a table that returns multiple rows without proper aggregation). In DAX, measures used in EVALUATE statements must return a single scalar value; if the measure is not properly aggregated or contains a many-to-many relationship, it can produce multiple values, causing this error.
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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