This PL-300 practice question tests your understanding of manage and secure power bi. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. A key principle to apply: row-Level Security (RLS). 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.
Refer to the exhibit. A Power BI administrator reviews a row-level security (RLS) policy for the Sales dataset. The SalesManager role should see all sales above $10,000, and the SalesRep role should see all sales above $0. However, users in the SalesRep role report that they cannot see any data when they open the report. 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 column name in the filter expression does not match the actual column name in the dataset
The correct answer is B because if the column name in the RLS filter expression does not match the actual column name in the dataset (e.g., using 'SalesAmount' when the column is 'Amount'), the filter will fail silently, causing users to see no data. RLS filters are evaluated at query time and must reference valid column names. Option A is wrong because the SalesRep role is assigned to users, so that is not the issue. Option C is wrong because the 'greater than' operator is supported in RLS. Option D is wrong because RLS filters must be applied on columns, not measures, but the issue here is mismatched column names.
Key principle: Row-Level Security (RLS)
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 SalesRep role is not assigned to any users
Why it's wrong here
If assigned, users would see data; the issue is no data.
✓
The column name in the filter expression does not match the actual column name in the dataset
Why this is correct
Mismatched column names cause RLS to not apply, resulting in no data.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Row-Level Security (RLS)
✗
The filter expression uses a comparison operator that is not supported in RLS
Why it's wrong here
'>' is supported.
✗
The RLS role uses a filter on a measure, not a column
Why it's wrong here
RLS can filter on columns; the filter uses a column name, not a measure.
Common exam traps
Common exam trap: answer the scenario, not the keyword
A common trap is assuming that an RLS role assignment is incomplete when users see no data, but the actual problem is often a mismatch between the column name in the filter expression and the actual column in the dataset.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
Row-Level Security (RLS)
RLS filter expressions
Column name mismatch
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
Row-Level Security (RLS)
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
Review row-Level Security (RLS), then practise related PL-300 questions on the same topic to reinforce the concept.
Manage and secure Power BI — This question tests Manage and secure Power BI — Row-Level Security (RLS).
What is the correct answer to this question?
The correct answer is: The column name in the filter expression does not match the actual column name in the dataset — The correct answer is B because if the column name in the RLS filter expression does not match the actual column name in the dataset (e.g., using 'SalesAmount' when the column is 'Amount'), the filter will fail silently, causing users to see no data. RLS filters are evaluated at query time and must reference valid column names. Option A is wrong because the SalesRep role is assigned to users, so that is not the issue. Option C is wrong because the 'greater than' operator is supported in RLS. Option D is wrong because RLS filters must be applied on columns, not measures, but the issue here is mismatched column names.
What should I do if I get this PL-300 question wrong?
Review row-Level Security (RLS), then practise related PL-300 questions on the same topic to reinforce the concept.
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?
Row-Level Security (RLS)
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