- A
Configure the data source credentials to pass the user's identity.
Why wrong: Credentials are for data source access, not for row-level filtering.
- B
Create separate datasets for each department and grant access accordingly.
Why wrong: This is inefficient and not the recommended approach; RLS is more scalable.
- C
Implement object-level security (OLS) on the 'Department' column.
Why wrong: OLS controls visibility of columns, not rows.
- D
Define row-level security (RLS) roles in Power BI Desktop and assign users.
RLS filters data at the row level based on user identity.
Quick Answer
The correct answer is to define row-level security (RLS) roles in Power BI Desktop and assign users. This works because RLS uses DAX filters, such as `Department = USERPRINCIPALNAME()`, to dynamically restrict data at the row level based on the authenticated user’s identity, ensuring each person sees only their department’s records in the report. On the Microsoft Power BI Data Analyst PL-300 exam, this scenario tests your understanding that RLS is applied within Power BI—not in the source database—even when using DirectQuery; a common trap is confusing RLS with object-level security (OLS), which controls columns or tables, not rows. Remember that USERPRINCIPALNAME() returns the user’s email, so your filter must match that value to the Department column. Memory tip: “RLS rows, OLS columns—USERPRINCIPALNAME locks the rows.”
PL-300 Manage and secure Power BI Practice Question
This PL-300 practice question tests your understanding of manage and secure power bi. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
You have a Power BI dataset that uses DirectQuery to a SQL Server data warehouse. You need to ensure that when users view reports, they see only data relevant to their department. The data warehouse contains a 'Department' column. What should you implement?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Define row-level security (RLS) roles in Power BI Desktop and assign users.
Option B is correct because row-level security (RLS) in Power BI allows you to filter data based on the user's identity. By defining roles and using DAX filters like 'Department = USERPRINCIPALNAME()', you can restrict data. Option A is wrong because object-level security (OLS) controls access to tables/columns, not rows. Option C is wrong because data source credentials are used for connection, not for filtering. Option D is wrong because Power BI does not support query passthrough for RLS; RLS is implemented in Power BI.
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.
- ✗
Configure the data source credentials to pass the user's identity.
Why it's wrong here
Credentials are for data source access, not for row-level filtering.
- ✗
Create separate datasets for each department and grant access accordingly.
Why it's wrong here
This is inefficient and not the recommended approach; RLS is more scalable.
- ✗
Implement object-level security (OLS) on the 'Department' column.
Why it's wrong here
OLS controls visibility of columns, not rows.
- ✓
Define row-level security (RLS) roles in Power BI Desktop and assign users.
Why this is correct
RLS filters data at the row level based on user identity.
Related concept
Read the scenario before looking for a memorised answer.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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.
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FAQ
Questions learners often ask
What does this PL-300 question test?
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: Define row-level security (RLS) roles in Power BI Desktop and assign users. — Option B is correct because row-level security (RLS) in Power BI allows you to filter data based on the user's identity. By defining roles and using DAX filters like 'Department = USERPRINCIPALNAME()', you can restrict data. Option A is wrong because object-level security (OLS) controls access to tables/columns, not rows. Option C is wrong because data source credentials are used for connection, not for filtering. Option D is wrong because Power BI does not support query passthrough for RLS; RLS is implemented in Power BI.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 21, 2026
This PL-300 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PL-300 exam.
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