The answer is a column name mismatch in the RLS filter expression. This is the most likely issue because row-level security filters are case-sensitive and must reference the exact physical column name as defined in the dataset; if the filter uses 'SalesAmount' but the actual column is named 'Amount', the filter evaluates to an empty set, returning no data. On the PL-300 exam, this tests your understanding that RLS rules are static DAX filters, not dynamic queries, so any discrepancy between the filter’s column reference and the model’s column name silently breaks the rule—a common trap where candidates assume the filter logic is correct without verifying the column name. Remember the mnemonic: “RLS sees no data? Check the column name, not the logic.”
PL-300 Manage and secure Power BI Practice Question
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. 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.
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
Option C is correct because the filter expression uses the column name 'SalesAmount' but the actual column may be named differently (e.g., 'Amount'). RLS filters must match the exact column name in the dataset. Option A is wrong because RLS can filter on any numeric column. Option B is wrong because if the role is assigned, users would see data based on the filter. Option D is wrong because the '>' operator is valid.
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 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
Read the scenario before looking for a memorised answer.
✗
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
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 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.
Identify which PL-300 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Manage and secure Power BI — This question tests Manage and secure Power BI — Read the scenario before looking for a memorised answer..
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 — Option C is correct because the filter expression uses the column name 'SalesAmount' but the actual column may be named differently (e.g., 'Amount'). RLS filters must match the exact column name in the dataset. Option A is wrong because RLS can filter on any numeric column. Option B is wrong because if the role is assigned, users would see data based on the filter. Option D is wrong because the '>' operator is valid.
What should I do if I get this PL-300 question wrong?
Identify which PL-300 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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