The answer is that the measure is using SUMX without an appropriate filter context, leading to incorrect row iteration. This happens because SUMX is an iterator function that evaluates an expression for each row in the specified table—in this case, the Sales table—and then sums the results. Without a filter context, such as one provided by a Date table or a slicer, SUMX will aggregate over every single row in the table, including data that should logically be excluded, which inflates the total far beyond what is expected. On the PL-900 exam, this tests your understanding of row context versus filter context, a common trap where candidates confuse SUM (which respects existing filters) with SUMX (which requires explicit filtering to avoid overcounting). A helpful memory tip: “SUMX needs a filter to fix; without one, it counts every mix.”
PL-900 Practice Question: Describe the business value of Microsoft Power Platform
This PL-900 practice question tests your understanding of describe the business value of microsoft power platform. 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.
```dax
Total Sales = SUMX(Sales, Sales[Quantity] * Sales[UnitPrice])
```
Refer to the exhibit. You are building a Power BI report to analyze sales performance. You create a measure named 'Total Sales' using the DAX expression shown. However, the measure returns a value that is much higher than expected. What is the most likely issue?
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 is using SUMX without an appropriate filter context, leading to incorrect row iteration.
Option B is correct because the DAX expression shown uses SUMX, which iterates over each row of the Sales table and sums the product of Quantity and Price. Without an appropriate filter context (e.g., from a Date table or slicer), SUMX may aggregate over the entire table, including rows that should be excluded, leading to a much higher total than expected. The issue is not a missing relationship but rather the lack of a proper filter context to restrict the rows being iterated.
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 table lacks a relationship to the Date table, causing incorrect time-based calculations.
Why it's wrong here
Missing relationships would cause blanks or errors, not inflated values.
✓
The measure is using SUMX without an appropriate filter context, leading to incorrect row iteration.
Why this is correct
SUMX iterates the Sales table; if the model has a many-to-many relationship or missing filters, it may sum incorrectly.
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.
✗
The measure is being filtered by a disconnected slicer, causing overfiltering.
Why it's wrong here
Overfiltering would reduce values, not increase them.
✗
The measure should use DISTINCTCOUNT instead of SUMX to count sales.
Why it's wrong here
DISTINCTCOUNT counts unique values, not sums; not appropriate for total sales.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume a missing relationship (Option A) is the cause of incorrect totals, but the real issue is that SUMX without a filter context iterates over all rows, producing an inflated value, while a missing relationship would typically cause blanks or errors in time-intelligence functions, not a higher sum.
Detailed technical explanation
How to think about this question
SUMX is an iterator function that evaluates an expression for each row of a table, then sums the results. Without a proper filter context (e.g., from a Date table, slicer, or page-level filter), SUMX iterates over all rows in the Sales table, potentially including rows from multiple time periods or unrelated records. In Power BI, filter context is propagated through relationships; if the measure is placed in a visual without a filter from the Date table, it will aggregate over the entire Sales table, ignoring any intended time-based slicing.
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.
Describe the business value of Microsoft Power Platform — This question tests Describe the business value of Microsoft Power Platform — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The measure is using SUMX without an appropriate filter context, leading to incorrect row iteration. — Option B is correct because the DAX expression shown uses SUMX, which iterates over each row of the Sales table and sums the product of Quantity and Price. Without an appropriate filter context (e.g., from a Date table or slicer), SUMX may aggregate over the entire table, including rows that should be excluded, leading to a much higher total than expected. The issue is not a missing relationship but rather the lack of a proper filter context to restrict the rows being iterated.
What should I do if I get this PL-900 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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