The correct answer is to use Microsoft Purview to scan Power BI datasets and apply sensitivity labels. This is the only option that delivers automated sensitive data classification in Power BI, as Microsoft Purview can natively scan datasets for patterns like credit card numbers or health records and automatically apply predefined sensitivity labels based on classification rules. On the PL-300 exam, this question tests your understanding of how Microsoft Purview integrates with Power BI for governance, often appearing as a trap where candidates confuse manual labeling or unrelated tools like Sentinel or Azure Policy. A common mistake is choosing Power BI’s built-in data classification, but that requires manual effort and lacks automation. Remember the memory tip: “Purview scans, labels hands-free; manual is just a click-and-see.”
PL-300 Manage and secure Power BI Practice Question
This PL-300 practice question tests your understanding of manage and secure power bi. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 are a Power BI administrator for a small business. The company uses Power BI Pro licenses for all users. You need to ensure that all data sources used in Power BI reports are documented and that sensitive data is classified. You have been asked to set up a process that automatically scans Power BI datasets for sensitive data and adds classification labels. You have the following options:
A. Use Microsoft Purview to scan Power BI datasets and apply sensitivity labels.
B. Use Power BI's built-in data classification feature to manually label datasets.
C. Use Microsoft Sentinel to monitor data access and apply labels.
D. Use Azure Policy to enforce labeling on Power BI datasets.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Microsoft Purview to scan Power BI datasets and apply sensitivity labels.
Option A is correct. Microsoft Purview can automatically scan Power BI datasets for sensitive data and apply sensitivity labels based on classification rules. Option B is wrong because manual labeling is not automatic. Option C is wrong because Microsoft Sentinel is a SIEM, not a data classification tool. Option D is wrong because Azure Policy does not directly integrate with Power BI for labeling.
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.
✓
Use Microsoft Purview to scan Power BI datasets and apply sensitivity labels.
Why this is correct
Purview provides automated scanning and labeling.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use Power BI's built-in data classification feature to manually label datasets.
Why it's wrong here
Manual labeling is not automatic.
✗
Use Azure Policy to enforce labeling on Power BI datasets.
Why it's wrong here
Azure Policy does not directly label Power BI datasets.
✗
Use Microsoft Sentinel to monitor data access and apply labels.
Why it's wrong here
Sentinel is for security monitoring, not data classification.
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: Use Microsoft Purview to scan Power BI datasets and apply sensitivity labels. — Option A is correct. Microsoft Purview can automatically scan Power BI datasets for sensitive data and apply sensitivity labels based on classification rules. Option B is wrong because manual labeling is not automatic. Option C is wrong because Microsoft Sentinel is a SIEM, not a data classification tool. Option D is wrong because Azure Policy does not directly integrate with Power BI for labeling.
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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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.
Question Discussion
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