Question 867 of 966
Manage and secure Power BImediumMultiple ChoiceObjective-mapped

PL-300 Sensitivity labels 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. A key principle to apply: sensitivity labels. 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. A user reports that a shared dashboard shows 'Sensitive data detected' for certain visualizations, but the dashboard is configured with row-level security (RLS). What is the most likely cause of this 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 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

A Microsoft Purview sensitivity label is applied to the dataset or report.

The most likely cause is that a Microsoft Purview sensitivity label is applied to the dataset or report. Sensitivity labels classify data and can trigger warnings like 'Sensitive data detected' regardless of RLS. RLS only controls which rows a user can see; it does not prevent sensitivity labels from being detected. Option A is incorrect because 'Build' permission is about creating reports, not suppressing sensitivity labels. Option B is incorrect because misconfigured RLS would cause incorrect data access, not the specific warning. Option D is incorrect because the label is detected server-side, not dependent on browser capabilities.

Key principle: Sensitivity labels

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 dashboard owner has not granted the user 'Build' permission on the dataset.

    Why it's wrong here

    The 'Build' permission allows users to create reports from a dataset, but it does not affect sensitivity label detection. The warning appears because of the label, not missing permissions.

  • RLS is incorrectly configured and allowing users to see data they should not.

    Why it's wrong here

    Incorrectly configured RLS might show too much or too little data, but it does not cause the 'Sensitive data detected' warning. That warning is triggered by a sensitivity label.

  • A Microsoft Purview sensitivity label is applied to the dataset or report.

    Why this is correct

    Correct. A Microsoft Purview sensitivity label applied to the dataset or report causes the warning. Sensitivity labels take precedence over RLS in terms of data classification warnings.

    Clue confirmation

    The clue word "most likely" in the question point toward this answer.

    Related concept

    Sensitivity labels

  • The user is viewing the dashboard in a browser that does not support sensitivity labels.

    Why it's wrong here

    The browser's ability to display sensitivity labels does not prevent the server from detecting the label. The warning appears server-side regardless of browser support.

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.

Trap categories for this question

  • Command / output trap

    Incorrectly configured RLS might show too much or too little data, but it does not cause the 'Sensitive data detected' warning. That warning is triggered by a sensitivity label.

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

  • Sensitivity labels
  • Row-level security (RLS)

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

Sensitivity labels

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 sensitivity labels, then practise related PL-300 questions on the same topic to reinforce the concept.

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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 — Sensitivity labels.

What is the correct answer to this question?

The correct answer is: A Microsoft Purview sensitivity label is applied to the dataset or report. — The most likely cause is that a Microsoft Purview sensitivity label is applied to the dataset or report. Sensitivity labels classify data and can trigger warnings like 'Sensitive data detected' regardless of RLS. RLS only controls which rows a user can see; it does not prevent sensitivity labels from being detected. Option A is incorrect because 'Build' permission is about creating reports, not suppressing sensitivity labels. Option B is incorrect because misconfigured RLS would cause incorrect data access, not the specific warning. Option D is incorrect because the label is detected server-side, not dependent on browser capabilities.

What should I do if I get this PL-300 question wrong?

Review sensitivity labels, 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?

Sensitivity labels

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Last reviewed: Jun 21, 2026

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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.