Category: Power BI

Exam Prep Hubs available on The Data Community

Below are the free Exam Prep Hubs currently available on The Data Community.
Bookmark the hubs you are interested in and use them to ensure you are fully prepared for the respective exam.

Each hub contains:

  1. The topic-by-topic (from the official study guide) coverage of the material, making it easy for you to ensure you are covering all aspects of the exam material.
  2. Practice exam questions for each section.
  3. Bonus material to help you prepare
  4. Two (2) Practice Exams with 60 questions each, along with answer keys.
  5. Links to useful resources, such as Microsoft Learn content, YouTube video series, and more.




Power BI Drilldown vs. Drill-through: Understanding the Differences, Use Cases, and Setup

Power BI provides multiple ways to explore data interactively. Two of the most commonly confused features are drilldown and drill-through. While both allow users to move from high-level insights to more detailed data, they serve different purposes and behave differently.

This article explains what drilldown and drill-through are, when to use each, how to configure them, and how they compare.


What Is Drilldown in Power BI?

Drilldown allows users to navigate within the same visual to explore data at progressively lower levels of detail using a predefined hierarchy.

Key Characteristics

  • Happens inside a single visual
  • Uses hierarchies (date, geography, product, etc.)
  • Does not navigate to another page
  • Best for progressive exploration

Example

A column chart showing:

  • Year → Quarter → Month → Day
    A user clicks on 2024 to drill down into quarters, then into months.

Here is a short YouTube video on how to drilldown in a table visual.


When to Use Drilldown

Use drilldown when:

  • You want users to explore trends step by step
  • The data naturally follows a hierarchical structure
  • Context should remain within the same chart
  • You want a quick, visual breakdown

Typical use cases:

  • Time-based analysis (Year → Month → Day)
  • Sales by Category → Subcategory → Product
  • Geographic analysis (Country → State → City)

How to Set Up Drilldown

Step-by-Step

  1. Select a visual (bar chart, column chart, etc.)
  2. Drag multiple fields into the Axis (or equivalent) in hierarchical order
  3. Enable drill mode by clicking the Drill Down icon (↓) on the visual
  4. Interact with the visual:
    • Click a data point to drill
    • Use Drill Up to return to higher levels

Notes

  • Power BI auto-creates date hierarchies unless disabled
  • Drilldown works only when multiple hierarchy levels exist

Here is a YouTube video on how to set up hierarchies and drilldown in Power BI.


What Is Drill-through in Power BI?

Drill-through allows users to navigate from one report page to another page that shows detailed, filtered information based on a selected value.

Key Characteristics

  • Navigates to a different report page
  • Passes filters automatically
  • Designed for detailed analysis
  • Often uses dedicated detail pages

Example

From a summary sales page:

  • Right-click Product = Laptop
  • Drill through to a “Product Details” page
  • Page shows sales, margin, customers, and trends for Laptop only

When to Use Drill-through

Use drill-through when:

  • You need a separate, detailed view
  • The analysis requires multiple visuals
  • You want to preserve context via filters
  • Detail pages would clutter a summary page

Typical use cases:

  • Customer detail pages
  • Product performance analysis
  • Region- or department-specific deep dives
  • Incident or transaction-level reviews

How to Set Up Drill-through

Step-by-Step

  1. Create a new report page
  2. Add the desired detail visuals
  3. Drag one or more fields into the Drill-through filters pane
  4. (Optional) Add a Back button using:
    • Insert → Buttons → Back
  5. Test by right-clicking a data point on another page and selecting Drill through

Notes

  • Multiple fields can be passed
  • Works across visuals and tables
  • Requires right-click interaction (unless buttons are used)

Here is a short YouTube video on how to set up drill-through in Power BI

And here is a detailed YouTube video on creating a drill-through page in Power BI.


Drilldown vs. Drill-through: Key Differences

FeatureDrilldownDrill-through
NavigationSame visualDifferent page
Uses hierarchiesYesNo (uses filters)
Page changeNoYes
Level of detailIncrementalComprehensive
Typical useTrend explorationDetailed analysis
User interactionClickRight-click or button

Similarities Between Drilldown and Drill-through

Despite their differences, both features:

  • Enhance interactive data exploration
  • Preserve user context
  • Reduce report clutter
  • Improve self-service analytics
  • Work with Power BI visuals and filters

Common Pitfalls and Best Practices

Best Practices

  • Use drilldown for simple, hierarchical exploration
  • Use drill-through for rich, detailed analysis
  • Clearly label drill-through pages
  • Add Back buttons for usability
  • Avoid overloading a single visual with too many drill levels

Common Mistakes

  • Using drilldown when a detail page is needed
  • Forgetting to configure drill-through filters
  • Hiding drill-through functionality from users
  • Mixing drilldown and drill-through without clear design intent

Summary

  • Drilldown = explore deeper within the same visual
  • Drill-through = navigate to a dedicated detail page
  • Drilldown is best for hierarchies and trends
  • Drill-through is best for focused, detailed analysis

Understanding when and how to use each feature is essential for building intuitive, powerful Power BI reports—and it’s a common topic tested in Power BI certification exams.

Thanks for reading and good luck on your data journey!

PL-300: Microsoft Power BI Data Analyst certification exam – Frequently Asked Questions (FAQs)

Below are some commonly asked questions about the PL-300: Microsoft Power BI Data Analyst certification exam. Upon successfully passing this exam, you earn the Microsoft Certified: Power BI Data Analyst Associate certification.


What is the PL-300 certification exam?

The PL-300: Microsoft Power BI Data Analyst exam validates your ability to prepare, model, visualize, analyze, and secure data using Microsoft Power BI.

Candidates who pass the exam demonstrate proficiency in:

  • Connecting to and transforming data from multiple sources
  • Designing and building efficient data models
  • Creating compelling and insightful reports and dashboards
  • Applying DAX calculations and measures
  • Implementing security, governance, and deployment best practices in Power BI

This certification is designed for professionals who work with data and use Power BI to deliver business insights. Upon successfully passing this exam, candidates earn the Microsoft Certified: Power BI Data Analyst Associate certification.


Is the PL-300 certification exam worth it?

The short answer is yes.

Preparing for the PL-300 exam provides significant value, even beyond the certification itself. The study process exposes you to Power BI features, patterns, and best practices that you may not encounter in day-to-day work. This often results in:

  • Stronger data modeling and DAX skills
  • Better-performing and more maintainable Power BI solutions
  • Increased confidence when designing analytics solutions
  • Greater credibility with stakeholders, employers, and clients

For many professionals, the exam also serves as a structured learning path that fills in knowledge gaps and reinforces real-world experience.


How many questions are on the PL-300 exam?

The PL-300 exam typically contains between 40 and 60 questions.

The questions may appear in several formats, including:

  • Single-choice and multiple-choice questions
  • Multi-select questions
  • Drag-and-drop or matching questions
  • Case studies with multiple questions

The exact number and format can vary slightly from exam to exam.


How hard is the PL-300 exam?

The PL-300 exam is considered moderately to highly challenging, especially for candidates without hands-on Power BI experience.

The difficulty comes from:

  • The breadth of topics covered
  • Scenario-based questions that test applied knowledge
  • Time pressure during the exam

However, the challenge is also what gives the certification its value. With proper preparation and practice, the exam is very achievable.

Helpful preparation resources include:


How much does the PL-300 certification exam cost?

As of January 1, 2026, the standard exam pricing is:

  • United States: $165 USD
  • Australia: $140 USD
  • Canada: $140 USD
  • India: $4,865 INR
  • China: $83 USD
  • United Kingdom: £106 GBP
  • Other countries: Pricing varies based on country and region

Microsoft occasionally offers discounts, student pricing, or exam vouchers, so it is worth checking the official Microsoft certification site before scheduling your exam.


How do I prepare for the Microsoft PL-300 certification exam?

The most important advice is do not rush to sit the exam. Take time to cover all topic areas thoroughly before taking the exam.

Recommended preparation steps:

  1. Review the official PL-300 exam skills outline.
  2. Complete the free Microsoft Learn PL-300 learning path.
  3. Practice building Power BI reports end-to-end using real or sample data.
  4. Strengthen weak areas such as DAX, data modeling, or security.
  5. Take practice exams to validate your readiness. Microsoft Learn’s PL-300 practice exam is available here; and there are 2 practice exams available on The Data Community’s PL-300 Exam Prep Hub.

Additional learning resources include:

Hands-on experience with Power BI Desktop and the Power BI Service is essential.


How do I pass the PL-300 exam?

To maximize your chances of passing:

  • Focus on understanding concepts, not memorization
  • Practice common Power BI patterns and scenarios
  • Pay close attention to question wording during the exam
  • Manage your time carefully and avoid spending too long on a single question

Consistently scoring well on reputable practice exams is usually a good indicator that you are ready for the real exam.


What is the best site for PL-300 certification dumps?

Using exam dumps is not recommended and may violate Microsoft’s exam policies.

Instead, use legitimate preparation resources such as:

Legitimate practice materials help you build real skills that are valuable beyond the exam itself.


How long should I study for the PL-300 exam?

Study time varies depending on your background and experience.

General guidelines:

  • Experienced Power BI users: 4–6 weeks of focused preparation
  • Moderate experience: 6–8 weeks of focused preparation
  • Beginners or limited experience: 8–12 weeks or more of focused preparation

Rather than focusing on time alone, because it will vary broadly based on several factors, aim to fully understand all exam topics and perform well on practice exams before scheduling the test.


Where can I find training or a course for the PL-300 exam?

Training options include:

  • Microsoft Learn: Free, official learning path
  • Online learning platforms: Udemy, Coursera, and similar providers
  • YouTube: Free playlists and walkthroughs covering PL-300 topics
  • Subscription platforms: Datacamp and others offering Power BI courses
  • Microsoft partners: Instructor-led and enterprise-focused training

A combination of structured learning and hands-on practice tends to work best.


What skills should I have before taking the PL-300 exam?

Before attempting the exam, you should be comfortable with:

  • Basic data concepts (tables, relationships, measures)
  • Power BI Desktop and Power BI Service
  • Power Query for data transformation
  • DAX fundamentals
  • Basic understanding of data modeling and analytics concepts

You do not need to be an expert in all areas, but hands-on familiarity is important.


What score do I need to pass the PL-300 exam?

Microsoft exams are scored on a scale of 1–1000, and a score of 700 or higher is required to pass.

The score is scaled, meaning it is based on question difficulty rather than a simple percentage of correct answers.


How long is the PL-300 exam?

You are given approximately 120 minutes to complete the exam, including time to review instructions and case studies.

Time management is very important, especially for scenario-based questions.


How long is the PL-300 certification valid?

The Microsoft Certified: Power BI Data Analyst Associate certification is valid for one year.

To maintain your certification, you must complete a free online renewal assessment before the expiration date.


Is PL-300 suitable for beginners?

PL-300 is beginner-friendly in structure but assumes some hands-on experience.

Beginners can absolutely pass the exam, but they should expect to spend additional time practicing with Power BI and learning foundational concepts.


What roles benefit most from the PL-300 certification?

The PL-300 certification is especially valuable for:

  • Data Analysts
  • Business Intelligence Developers
  • Reporting and Analytics Professionals
  • Data Engineers working with Power BI
  • Consultants and Power BI practitioners

It is also useful for professionals transitioning into analytics-focused roles.


What languages is the PL-300 exam offered in?

The PL-300 certification exam is offered in the following languages:

English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Chinese (Traditional), Italian


Have additional questions? Post them on the comments.

Good luck on your data journey!

How to turn off “Autodetect New Relationships” in Power BI (and why you may consider doing it)

Power BI includes a feature called Autodetect new relationships that automatically creates relationships between tables when new data is loaded into a model. While convenient for simple datasets, this setting can cause unexpected behavior in more advanced data models.

How to Turn Off Autodetect New Relationships

You can disable this feature directly from Power BI Desktop:

  1. Open Power BI Desktop
  2. Go to FileOptions and settingsOptions
  3. In the left pane, under CURRENT FILE, select Data Load
  4. Then in the page’s main area, under the Relationships section, uncheck:
    • Autodetect new relationships after data is loaded
  5. Click OK

Note that you may need to refresh your model for the change to fully take effect on newly loaded data.

Why You May Want to Disable This Feature

Turning off automatic relationship detection is considered a best practice for many professional Power BI models, especially as complexity increases.

Key reasons to disable it include:

  • Prevent unintended relationships
    This is the main reason. Power BI may create relationships you did not intend, based solely on matching column names or data types. Automatically generated relationships can introduce ambiguity and inactive relationships, leading to incorrect DAX results or performance issues.
  • Maintain full control of the data model, especially when the model needs to be carefully designed because of complexity or other reasons
    Manually creating relationships ensures they follow your star schema design and business logic. Complex models with role-playing dimensions, bridge tables, or composite models benefit from intentional, not automatic, relationships.
  • Improve model reliability and maintainability
    Explicit relationships make your model easier to understand, document, and troubleshoot.

When Autodetect Can Still Be Useful

Autodetect is a useful feature in some cases. For quick prototypes, small datasets, or ad-hoc analysis, automatic relationship detection can save time. However, once a model moves toward production or supports business-critical reporting, manual control is strongly recommended.

Thanks for reading!

Exam Prep Hub for PL-300: Microsoft Power BI Data Analyst

Welcome to the one-stop hub with information for preparing for the PL-300: Microsoft Power BI Data Analyst certification exam. Upon successful completion of the exam, you earn the Microsoft Certified: Power BI Data Analyst Associate certification.

This hub provides information directly here (topic-by-topic), links to a number of external resources, tips for preparing for the exam, practice tests, and section questions to help you prepare. Bookmark this page and use it as a guide to ensure that you are fully covering all relevant topics for the PL-300 exam and making use of as many of the resources available as possible.


Skills tested at a glance (as specified in the official study guide)

  • Prepare the data (25–30%)
  • Model the data (25–30%)
  • Visualize and analyze the data (25–30%)
  • Manage and secure Power BI (15–20%)
Click on each hyperlinked topic below to go to the preparation content and practice questions for that topic. And there are also 2 practice exams provided below.

Prepare the data (25–30%)

Get or connect to data

Profile and clean the data

Transform and load the data

Model the data (25–30%)

Design and implement a data model

Create model calculations by using DAX

Optimize model performance

Visualize and analyze the data (25–30%)

Create reports

Enhance reports for usability and storytelling

Identify patterns and trends

Manage and secure Power BI (15–20%)

Create and manage workspaces and assets

Secure and govern Power BI items


Practice Exams

We have provided 2 practice exams (with answer keys) to help you prepare:


Important PL-300 Resources

To Do’s:

  • Schedule time to learn, study, perform labs, and do practice exams and questions
  • Schedule the exam based on when you think you will be ready; scheduling the exam gives you a target and drives you to keep working on it; but keep in mind that it can be rescheduled based on the rules of the provider.
  • Use the various resources above and below to learn
  • Take the free Microsoft Learn practice test, any other available practice tests, and do the practice questions in each section and the two practice tests available on this hub.

Good luck to you passing the PL-300: Microsoft Power BI Data Analyst certification exam and earning the Microsoft Certified: Power BI Data Analyst Associate certification!

PL-300: Practice Exam 1 (60 questions with answer key)

PL-300: Microsoft Power BI Data Analyst practice exam

Total Questions: 60
Time Recommendation: 120 minutes

Note: We have sectioned the questions to help you prepare, but the real exam will have questions from the sections appearing randomly.
The answers are at the end, and we recommend only looking at the answers after you have attempted the questions.

Exam Structure & Weighting (60 Questions)

Domain%Questions
Prepare the data~27%16
Model the data~27%16
Visualize and analyze the data~27%16
Manage and secure Power BI~19%12
Total100%60

SECTION 1: Prepare the Data (Questions 1–16)

1. (Single choice)
You connect to a CSV file containing sales data. The file is updated daily with additional rows. What should you do to ensure Power BI always imports only new records?

A. Use Import mode
B. Enable Incremental Refresh
C. Use DirectQuery
D. Create a calculated table


2. (Scenario – Multi-select)
You are cleaning customer data in Power Query. You need to:

  • Remove rows where CustomerID is null
  • Replace empty strings in Country with “Unknown”

Which two steps should you use? (Select two)

A. Filter rows
B. Replace values
C. Conditional column
D. Remove errors


3. (Fill in the blank)
The Power Query feature used to profile data by showing column distribution, quality, and profile is called __________.


4. (Single choice)
You want to reduce model size by removing unused columns before loading data. Where should this be done?

A. In DAX
B. In Power BI Service
C. In Power Query Editor
D. In the Data view


5. (Scenario – Single choice)
A dataset contains numeric values stored as text. What is the best approach to fix this?

A. Convert data type in the report view
B. Create a calculated column
C. Change data type in Power Query
D. Use FORMAT() in DAX


6. (Multi-select)
Which transformations are considered query folding–friendly? (Select two)

A. Filtering rows
B. Adding an Index column
C. Merging queries
D. Custom M function logic


7. (Single choice)
What does query folding primarily help with?

A. Improving report aesthetics
B. Reducing dataset size
C. Pushing transformations to the source system
D. Enabling DirectQuery


8. (Scenario – Single choice)
You want to append monthly Excel files from a folder automatically. What connector should you use?

A. Excel Workbook
B. SharePoint Folder
C. Folder
D. Web


9. (Matching)
Match the Power Query feature to its purpose:

FeaturePurpose
A. Merge Queries1. Stack tables vertically
B. Append Queries2. Combine tables horizontally
C. Group By3. Aggregate rows

10. (Single choice)
Which data source supports DirectQuery?

A. Excel
B. CSV
C. SQL Server
D. JSON


11. (Scenario – Multi-select)
You want to reduce refresh time. Which actions help? (Select two)

A. Remove unused columns
B. Increase report page count
C. Apply filters early
D. Use calculated columns


12. (Single choice)
What does enabling “Enable load” = Off do?

A. Deletes the query
B. Prevents data refresh
C. Prevents data from loading into the model
D. Disables query folding


13. (Single choice)
Which transformation breaks query folding most often?

A. Filtering
B. Sorting
C. Custom column with M code
D. Renaming columns


14. (Fill in the blank)
The language used by Power Query is called __________.


15. (Scenario – Single choice)
You need to standardize country names across multiple sources. What is the best approach?

A. DAX LOOKUPVALUE
B. Power Query Replace Values
C. Calculated table
D. Visual-level filter


16. (Single choice)
What is the main benefit of disabling Auto Date/Time?

A. Faster report rendering
B. Better compression and simpler models
C. Enables time intelligence
D. Required for DirectQuery



SECTION 2: Model the Data (Questions 17–32)

17. (Single choice)
What is the recommended cardinality between a fact table and a dimension table?

A. Many-to-many
B. One-to-one
C. One-to-many
D. Many-to-one


18. (Scenario – Single choice)
You have Sales and Customers tables. Each sale belongs to one customer. How should the relationship be defined?

A. Many-to-many
B. One-to-many from Customers to Sales
C. One-to-one
D. Inactive


19. (Multi-select)
Which actions improve model performance? (Select two)

A. Reduce column cardinality
B. Use bi-directional filters everywhere
C. Star schema design
D. Hide fact table columns


20. (Fill in the blank)
A __________ table contains descriptive attributes used for slicing and filtering.


21. (Scenario – Single choice)
When should you use a calculated column instead of a measure?

A. When performing aggregations
B. When results must be stored per row
C. When using slicers
D. When reducing model size


22. (Single choice)
Which DAX function safely handles divide-by-zero errors?

A. DIV
B. IFERROR
C. DIVIDE
D. CALCULATE


23. (Scenario – Single choice)
You need a dynamic calculation that responds to filters. What should you use?

A. Calculated column
B. Calculated table
C. Measure
D. Static column


24. (Matching)
Match the DAX concept to its description:

ConceptDescription
A. Row context1. Filters applied by visuals
B. Filter context2. Iteration over rows
C. Context transition3. Row → filter conversion

25. (Single choice)
What does CALCULATE primarily do?

A. Creates relationships
B. Changes filter context
C. Adds rows to tables
D. Improves compression


26. (Multi-select)
Which are valid time intelligence functions? (Select two)

A. TOTALYTD
B. SAMEPERIODLASTYEAR
C. SUMX
D. VALUES


27. (Scenario – Single choice)
You need Year-over-Year growth. What prerequisite must be met?

A. Auto Date/Time enabled
B. Continuous date column
C. Marked Date table
D. Calculated column


28. (Single choice)
What does marking a table as a Date table do?

A. Improves visuals
B. Enables time intelligence accuracy
C. Reduces refresh time
D. Enables RLS


29. (Multi-select)
Which DAX functions are iterators? (Select two)

A. SUMX
B. AVERAGEX
C. SUM
D. COUNT


30. (Scenario – Single choice)
You need to model a many-to-many relationship. What is the recommended solution?

A. Bi-directional filters
B. Bridge table
C. Calculated column
D. Duplicate keys


31. (Single choice)
What is the main drawback of bi-directional relationships?

A. Slower refresh
B. Increased ambiguity and performance cost
C. Larger dataset size
D. Disabled measures


32. (Fill in the blank)
The recommended schema design in Power BI is the __________ schema.



SECTION 3: Visualize and Analyze the Data (Questions 33–48)

33. (Single choice)
Which visual best shows trends over time?

A. Bar chart
B. Table
C. Line chart
D. Card


34. (Scenario – Single choice)
You want users to explore details by clicking on a value in a chart. What feature should you use?

A. Drillthrough
B. Tooltip
C. Drill-down
D. Bookmark


35. (Multi-select)
Which visuals support drill-down? (Select two)

A. Matrix
B. Card
C. Bar chart
D. KPI


36. (Fill in the blank)
A page that shows detailed information for a selected data point is called a __________ page.


37. (Single choice)
Which feature allows navigation between predefined report states?

A. Filters
B. Slicers
C. Bookmarks
D. Tooltips


38. (Scenario – Single choice)
You want to highlight values above a threshold. What should you use?

A. Conditional formatting
B. Custom visual
C. Calculated column
D. Page filter


39. (Multi-select)
Which elements can be used as slicers? (Select two)

A. Numeric columns
B. Measures
C. Date columns
D. Calculated tables


40. (Single choice)
What does a tooltip page provide?

A. Navigation
B. Additional context on hover
C. Data refresh
D. Security


41. (Scenario – Single choice)
You want visuals on one page to affect another page. What should you use?

A. Drill-down
B. Sync slicers
C. RLS
D. Visual interactions


42. (Single choice)
Which feature allows exporting summarized data only?

A. Export underlying data
B. Export summarized data
C. Analyze in Excel
D. Paginated reports


43. (Multi-select)
Which actions improve report performance? (Select two)

A. Limit visuals per page
B. Use high-cardinality slicers
C. Use measures instead of columns
D. Disable interactions


44. (Single choice)
What is the purpose of a KPI visual?

A. Show raw data
B. Compare actuals to targets
C. Display trends
D. Filter visuals


45. (Scenario – Single choice)
You need a visual that supports hierarchical navigation. What should you choose?

A. Card
B. Line chart
C. Matrix
D. Gauge


46. (Fill in the blank)
The feature that allows users to ask natural language questions is called __________.


47. (Single choice)
What determines visual interaction behavior?

A. Data model
B. Report theme
C. Edit interactions settings
D. Dataset permissions


48. (Single choice)
Which visual is best for comparing proportions?

A. Table
B. Pie chart
C. Scatter plot
D. Line chart



SECTION 4: Manage and Secure Power BI (Questions 49–60)

49. (Single choice)
What does Row-Level Security (RLS) control?

A. Visual visibility
B. Data access by user
C. Dataset refresh
D. Workspace roles


50. (Scenario – Single choice)
You need different users to see different regions’ data. What should you implement?

A. App audiences
B. RLS roles
C. Workspace permissions
D. Object-level security


51. (Multi-select)
Which roles can publish content? (Select two)

A. Viewer
B. Contributor
C. Member
D. Admin


52. (Single choice)
Where is RLS created?

A. Power BI Service only
B. Power BI Desktop
C. Azure Portal
D. Excel


53. (Single choice)
What is Object-Level Security (OLS) used for?

A. Hiding rows
B. Hiding columns or tables
C. Encrypting data
D. Managing refresh


54. (Scenario – Single choice)
You want users to consume reports without editing. Which workspace role is best?

A. Admin
B. Member
C. Contributor
D. Viewer


55. (Fill in the blank)
A packaged, read-only distribution of reports is called a Power BI __________.


56. (Single choice)
Which feature controls dataset refresh schedules?

A. Gateway
B. Dataset settings
C. Workspace
D. App


57. (Multi-select)
Which authentication methods are supported by Power BI gateways? (Select two)

A. Windows
B. OAuth
C. Basic
D. Anonymous


58. (Scenario – Single choice)
You want on-premises SQL data to refresh in Power BI Service. What is required?

A. DirectQuery
B. On-premises data gateway
C. Azure SQL
D. Incremental refresh


59. (Single choice)
Who can manage workspace users?

A. Viewer
B. Contributor
C. Member
D. Admin


60. (Single choice)
What is the primary benefit of Power BI apps?

A. Faster refresh
B. Centralized content distribution
C. Improved DAX performance
D. Reduced dataset size



ANSWER KEY WITH EXPLANATIONS

Below are correct answers and explanations, including why incorrect options are not correct.
(Use this section after completing the exam.)


SECTION 1: Prepare the Data (1-16)

  1. B – Incremental Refresh loads only new/changed data
  2. A, B – Filter rows removes nulls; Replace Values handles empty strings
  3. Data profiling
  4. C – Remove columns before loading
  5. C – Best practice is Power Query transformation
  6. A, C – Folding-friendly operations
  7. C – Pushes logic to the source
  8. C – Folder connector handles multiple files
  9. A-2, B-1, C-3
  10. C – SQL Server supports DirectQuery
  11. A, C – Reduce data early
  12. C – Prevents model loading
  13. C – Custom M breaks folding
  14. M
  15. B – Clean once at ingestion
  16. B – Avoids hidden date tables

SECTION 2: Model the Data (17–32)

17. Correct Answer: C — One-to-many

  • Why correct: In a star schema, dimension tables have unique keys and fact tables contain repeated keys.
  • Why others are incorrect:
    • A/B/D create ambiguity or are rarely appropriate in analytical models.

18. Correct Answer: B — One-to-many from Customers to Sales

  • Why correct: One customer can have many sales, but each sale belongs to one customer.
  • Why others are incorrect:
    • Many-to-many and one-to-one do not reflect the business reality.
    • Inactive relationships are only used when multiple relationships exist.

19. Correct Answers: A, C

  • Why correct:
    • Reducing column cardinality improves compression.
    • Star schemas reduce relationship complexity and improve performance.
  • Why others are incorrect:
    • Bi-directional filters add overhead.
    • Hiding columns improves usability, not performance.

20. Correct Answer: Dimension

  • Why correct: Dimension tables describe entities (Customer, Product, Date).
  • Why incorrect alternatives: Fact tables store transactional metrics, not descriptive attributes.

21. Correct Answer: B — Stored per row

  • Why correct: Calculated columns are evaluated at refresh time and stored in memory.
  • Why others are incorrect:
    • Aggregations and dynamic behavior belong in measures.

22. Correct Answer: C — DIVIDE

  • Why correct: DIVIDE safely handles divide-by-zero by returning BLANK or an alternate result.
  • Why others are incorrect:
    • DIV doesn’t exist.
    • IFERROR is Excel-only.
    • CALCULATE changes filter context.

23. Correct Answer: C — Measure

  • Why correct: Measures respond dynamically to slicers and filters.
  • Why others are incorrect: Columns and tables are static after refresh.

24. Correct Matching

  • A → 2 (Row context) – Iterates row by row
  • B → 1 (Filter context) – Applied by visuals, slicers
  • C → 3 (Context transition) – Converts row context into filter context

25. Correct Answer: B — Changes filter context

  • Why correct: CALCULATE modifies existing filters or applies new ones.
  • Why others are incorrect: CALCULATE does not create tables or relationships.

26. Correct Answers: A, B

  • Why correct: TOTALYTD and SAMEPERIODLASTYEAR are built-in time intelligence functions.
  • Why others are incorrect: SUMX and VALUES are not time-intelligence specific.

27. Correct Answer: C — Marked Date table

  • Why correct: Time intelligence functions require a properly marked Date table.
  • Why others are incorrect:
    • Auto Date/Time is not recommended.
    • Continuity alone is not sufficient.

28. Correct Answer: B

  • Why correct: Marking a Date table ensures accurate time intelligence calculations.
  • Why others are incorrect: It does not affect refresh time or security.

29. Correct Answers: A, B

  • Why correct: SUMX and AVERAGEX iterate over rows.
  • Why others are incorrect: SUM and COUNT are simple aggregators.

30. Correct Answer: B — Bridge table

  • Why correct: A bridge table resolves many-to-many relationships cleanly.
  • Why others are incorrect:
    • Bi-directional filters alone can cause ambiguity.
    • Duplicated keys violate modeling best practices.

31. Correct Answer: B

  • Why correct: Bi-directional filters increase ambiguity and performance cost.
  • Why others are incorrect: Refresh time and dataset size are not the main issues.

32. Correct Answer: Star

  • Why correct: Star schemas simplify relationships and improve performance.


SECTION 3: Visualize and Analyze the Data (33–48)

33. Correct Answer: C — Line chart

  • Why correct: Line charts best represent trends over time.
  • Why others are incorrect: Tables and cards do not show trends effectively.

34. Correct Answer: C — Drill-down

  • Why correct: Drill-down allows users to navigate hierarchical levels within a visual.
  • Why others are incorrect:
    • Drillthrough navigates pages.
    • Tooltips show hover information.

35. Correct Answers: A, C

  • Why correct: Matrix and bar charts support hierarchies and drill-down.
  • Why others are incorrect: Cards and KPIs do not support drill-down.

36. Correct Answer: Drillthrough

  • Why correct: Drillthrough pages display detailed context for selected data points.

37. Correct Answer: C — Bookmarks

  • Why correct: Bookmarks capture filters, visibility, and interactions.
  • Why others are incorrect: Slicers and filters do not store states.

38. Correct Answer: A — Conditional formatting

  • Why correct: Highlights values dynamically based on rules.
  • Why others are incorrect: Custom visuals are unnecessary for this task.

39. Correct Answers: A, C

  • Why correct: Columns (including numeric and date) can be slicers.
  • Why others are incorrect: Measures cannot be slicers.

40. Correct Answer: B

  • Why correct: Tooltip pages show extra information on hover.
  • Why others are incorrect: They do not control navigation or security.

41. Correct Answer: B — Sync slicers

  • Why correct: Sync slicers apply selections across pages.
  • Why others are incorrect: Visual interactions only work within a page.

42. Correct Answer: B

  • Why correct: Export summarized data respects aggregation and security.
  • Why others are incorrect: Underlying data exposes raw rows.

43. Correct Answers: A, C

  • Why correct: Fewer visuals and measures reduce query load.
  • Why others are incorrect: High-cardinality slicers degrade performance.

44. Correct Answer: B

  • Why correct: KPIs compare actuals against a target.
  • Why others are incorrect: KPIs do not show raw tables or filters.

45. Correct Answer: C — Matrix

  • Why correct: Matrix supports row and column hierarchies.
  • Why others are incorrect: Cards and gauges lack hierarchy support.

46. Correct Answer: Q&A

  • Why correct: Q&A enables natural language queries.

47. Correct Answer: C

  • Why correct: Edit interactions controls cross-visual behavior.
  • Why others are incorrect: Themes and permissions do not affect interactions.

48. Correct Answer: B — Pie chart

  • Why correct: Pie charts show part-to-whole relationships.
  • Why others are incorrect: Line and scatter plots show trends or correlation.


SECTION 4: Manage and Secure Power BI (49–60)

49. Correct Answer: B

  • Why correct: RLS restricts data visibility per user.
  • Why others are incorrect: RLS does not control visuals or refresh.

50. Correct Answer: B — RLS roles

  • Why correct: RLS filters rows dynamically by user.
  • Why others are incorrect: Workspace permissions do not filter data.

51. Correct Answers: B, D

  • Why correct: Contributors and Admins can publish.
  • Why others are incorrect: Viewers cannot publish content.

52. Correct Answer: B

  • Why correct: RLS roles are defined in Power BI Desktop.
  • Why others are incorrect: Service is used for assignment, not creation.

53. Correct Answer: B

  • Why correct: OLS hides tables or columns.
  • Why others are incorrect: OLS does not filter rows.

54. Correct Answer: D — Viewer

  • Why correct: Viewers can consume but not edit content.
  • Why others are incorrect: Other roles allow editing or publishing.

55. Correct Answer: App

  • Why correct: Apps are packaged, read-only content distributions.

56. Correct Answer: B

  • Why correct: Refresh schedules are configured in dataset settings.

57. Correct Answers: A, C

  • Why correct: Gateways support Windows and Basic authentication.
  • Why others are incorrect: OAuth and Anonymous are not supported for gateways.

58. Correct Answer: B

  • Why correct: An on-premises data gateway enables refresh from local sources.

59. Correct Answer: D — Admin

  • Why correct: Only Admins can manage workspace users fully.

60. Correct Answer: B

  • Why correct: Apps centralize and standardize content distribution.

PL-300: Practice Exam 2 (60 questions with answer key)

PL-300: Microsoft Power BI Data Analyst practice exam

Total Questions: 60
Time Recommendation: 120 minutes

Note: We have sectioned the questions to help you prepare, but the real exam will have questions from the sections appearing randomly.
The answers are at the end, and we recommend only looking at the answers after you have attempted the questions.

SECTION 1: Prepare the Data (Questions 1–16)


1. (Scenario – Single choice)
You are importing data from a SQL Server database. You want to ensure transformations are executed at the source whenever possible. What should you prioritize?

A. Using Import mode
B. Maintaining query folding
C. Creating calculated columns
D. Disabling Auto Date/Time


2. (Multi-select)
Which Power Query actions typically preserve query folding? (Select two)

A. Filtering rows
B. Adding a custom column with complex M logic
C. Removing columns
D. Changing column order


3. (Fill in the blank)
Power BI’s feature that automatically detects column data types during import is called __________.


4. (Scenario – Single choice)
You need to combine two tables with the same columns but different rows. What should you use?

A. Merge Queries
B. Append Queries
C. Relationship
D. Lookup column


5. (Single choice)
Which data type is most memory-efficient for categorical values?

A. Text
B. Whole Number
C. Decimal Number
D. DateTime


6. (Scenario – Multi-select)
You are profiling a dataset and notice unexpected null values. Which tools help identify data quality issues? (Select two)

A. Column quality
B. Column distribution
C. Conditional columns
D. Replace errors


7. (Single choice)
Which connector allows ingestion of multiple files stored in a directory?

A. Excel Workbook
B. SharePoint List
C. Folder
D. Web API


8. (Scenario – Single choice)
You want to standardize values such as “USA”, “U.S.”, and “United States”. What is the most scalable solution?

A. DAX calculated column
B. Replace Values in Power Query
C. Visual-level filter
D. Manual edits in Data view


9. (Matching)
Match the transformation to its outcome:

TransformationOutcome
A. Group By1. Reduce row-level detail
B. Remove duplicates2. Aggregate data
C. Filter rows3. Exclude unwanted records

10. (Single choice)
Which data source does NOT support DirectQuery?

A. Azure SQL Database
B. SQL Server
C. Excel workbook
D. Azure Synapse Analytics


11. (Scenario – Single choice)
A column contains numbers and text. You need to fix errors without removing rows. What is the best option?

A. Remove errors
B. Replace errors
C. Change data type
D. Split column


12. (Multi-select)
Which actions reduce dataset size? (Select two)

A. Removing unused columns
B. Increasing column cardinality
C. Disabling Auto Date/Time
D. Using calculated tables


13. (Single choice)
Which step most commonly breaks query folding?

A. Sorting rows
B. Renaming columns
C. Adding a custom M function
D. Filtering


14. (Fill in the blank)
Power Query transformations are written using the __________ language.


15. (Scenario – Single choice)
You want to reuse a transformation across multiple queries. What should you create?

A. Calculated table
B. Custom column
C. Function
D. Measure


16. (Single choice)
Why is disabling Auto Date/Time considered a best practice?

A. It improves visual formatting
B. It reduces hidden tables and model size
C. It enables DirectQuery
D. It improves gateway performance



SECTION 2: Model the Data (Questions 17–32)


17. (Single choice)
Which schema design is recommended for Power BI models?

A. Snowflake
B. Relational
C. Star
D. Hierarchical


18. (Scenario – Single choice)
You have multiple fact tables sharing the same Date table. What relationship setup is recommended?

A. Many-to-many
B. One-to-one
C. One-to-many from Date
D. Bi-directional


19. (Multi-select)
Which actions improve DAX performance? (Select two)

A. Using variables
B. Using volatile functions
C. Reducing iterator usage
D. Increasing column cardinality


20. (Fill in the blank)
A table that stores transactional events is called a __________ table.


21. (Scenario – Single choice)
You need a calculation that must be evaluated only once during refresh. What should you use?

A. Measure
B. Calculated column
C. Visual filter
D. Slicer


22. (Single choice)
Which function changes filter context?

A. SUM
B. FILTER
C. CALCULATE
D. VALUES


23. (Scenario – Single choice)
You need a metric that responds to slicers and cross-highlighting. What should you create?

A. Calculated table
B. Calculated column
C. Measure
D. Static column


24. (Matching)
Match the DAX concept to its definition:

ConceptDefinition
A. Filter context1. Row-by-row evaluation
B. Row context2. Visual and slicer filters
C. Iterator3. Loops through rows

25. (Single choice)
Which DAX function safely handles division when the denominator is zero?

A. IF
B. DIV
C. DIVIDE
D. CALCULATETABLE


26. (Multi-select)
Which functions are considered time intelligence? (Select two)

A. DATEADD
B. SAMEPERIODLASTYEAR
C. SUMX
D. FILTER


27. (Scenario – Single choice)
Why should you mark a Date table?

A. To enable RLS
B. To improve visual formatting
C. To ensure correct time intelligence
D. To reduce refresh duration


28. (Single choice)
What is the purpose of a bridge table?

A. Speed up refresh
B. Resolve many-to-many relationships
C. Enable DirectQuery
D. Create calculated measures


29. (Multi-select)
Which are iterator functions? (Select two)

A. COUNT
B. SUMX
C. AVERAGEX
D. DISTINCT


30. (Scenario – Single choice)
You have two date relationships between the same tables. One is inactive. How do you use the inactive one?

A. USERELATIONSHIP
B. CROSSFILTER
C. RELATED
D. LOOKUPVALUE


31. (Single choice)
What is a key downside of calculated columns?

A. They cannot be filtered
B. They increase model size
C. They cannot use DAX
D. They slow down visuals


32. (Fill in the blank)
The recommended relationship direction in most models is __________.



SECTION 3: Visualize and Analyze the Data (Questions 33–48)


33. (Single choice)
Which visual best compares values across categories?

A. Line chart
B. Bar chart
C. Scatter plot
D. Area chart


34. (Scenario – Single choice)
You want users to navigate to a detail page by right-clicking a visual. What should you configure?

A. Drill-down
B. Drillthrough
C. Bookmark
D. Tooltip


35. (Multi-select)
Which visuals support hierarchies? (Select two)

A. Matrix
B. Card
C. Bar chart
D. Gauge


36. (Fill in the blank)
A report page designed to show details for a selected value is called a __________ page.


37. (Single choice)
Which feature allows toggling between different visual states?

A. Filters
B. Bookmarks
C. Themes
D. Sync slicers


38. (Scenario – Single choice)
You want values over target to appear green and under target red. What should you use?

A. KPI visual
B. Conditional formatting
C. Measure
D. Theme


39. (Multi-select)
Which fields can be used in a slicer? (Select two)

A. Measures
B. Date columns
C. Text columns
D. Tooltips


40. (Single choice)
What is the primary purpose of report tooltips?

A. Navigation
B. Additional context on hover
C. Filtering
D. Security


41. (Scenario – Single choice)
You want slicer selections on one page to apply to other pages. What should you use?

A. Drillthrough
B. Visual interactions
C. Sync slicers
D. Bookmarks


42. (Single choice)
Which export option respects RLS and aggregation?

A. Export underlying data
B. Export summarized data
C. Copy visual
D. Analyze in Excel


43. (Multi-select)
Which actions improve report performance? (Select two)

A. Reduce number of visuals
B. Use complex custom visuals everywhere
C. Prefer measures over columns
D. Increase page interactions


44. (Single choice)
What does a KPI visual compare?

A. Actual vs target
B. Categories vs totals
C. Trends over time
D. Part-to-whole


45. (Scenario – Single choice)
Which visual supports row and column grouping with totals?

A. Table
B. Matrix
C. Card
D. Gauge


46. (Fill in the blank)
The feature that allows users to ask questions using natural language is __________.


47. (Single choice)
Where do you configure how visuals affect each other?

A. Model view
B. Edit interactions
C. Dataset settings
D. Themes


48. (Single choice)
Which visual is best for showing part-to-whole relationships?

A. Line chart
B. Pie chart
C. Scatter plot
D. Table



SECTION 4: Manage and Secure Power BI (Questions 49–60)


49. (Single choice)
Row-Level Security primarily restricts access to:

A. Reports
B. Rows of data
C. Dashboards
D. Workspaces


50. (Scenario – Single choice)
Different users must see different departments’ data using the same report. What should you implement?

A. App audiences
B. RLS roles
C. Workspace permissions
D. Bookmarks


51. (Multi-select)
Which workspace roles can publish content? (Select two)

A. Viewer
B. Contributor
C. Member
D. Admin


52. (Single choice)
Where are RLS roles defined?

A. Power BI Service
B. Power BI Desktop
C. Azure AD
D. SQL Server


53. (Single choice)
What does Object-Level Security control?

A. Row visibility
B. Column or table visibility
C. Dataset refresh
D. Report access


54. (Scenario – Single choice)
Which role should be assigned to users who only consume content?

A. Admin
B. Member
C. Contributor
D. Viewer


55. (Fill in the blank)
A curated, read-only package of Power BI content is called an __________.


56. (Single choice)
Which component enables scheduled refresh for on-premises data?

A. DirectQuery
B. Dataset
C. Gateway
D. Workspace


57. (Multi-select)
Which authentication types are supported by on-premises data gateways? (Select two)

A. Windows
B. OAuth
C. Basic
D. Anonymous


58. (Scenario – Single choice)
You want to minimize refresh time for a very large dataset. What should you configure?

A. RLS
B. Incremental refresh
C. DirectQuery
D. OLS


59. (Single choice)
Who can manage users and permissions in a workspace?

A. Viewer
B. Contributor
C. Member
D. Admin


60. (Single choice)
What is a primary advantage of Power BI apps?

A. Faster DAX calculations
B. Controlled content distribution
C. Reduced data volume
D. Improved gateway reliability



ANSWER KEY WITH EXPLANATIONS


Prepare the Data (1–16)

  1. B — Query folding pushes transformations to the source
  2. A, C — Filtering and removing columns fold well
  3. Type detection
  4. B — Append stacks rows
  5. B — Whole numbers compress best
  6. A, B — Profiling tools reveal quality issues
  7. C — Folder connector ingests multiple files
  8. B — Clean once at ingestion
  9. A-2, B-1, C-3
  10. C — Excel does not support DirectQuery
  11. B — Replace errors preserves rows
  12. A, C — Less data, fewer hidden tables
  13. C — Custom M breaks folding
  14. M
  15. C — Functions promote reuse
  16. B — Prevents unnecessary date tables

Model the Data (17–32)

  1. C — Star schema is best practice
  2. C — Date is a shared dimension
  3. A, C — Variables and fewer iterators improve performance
  4. Fact
  5. B — Calculated columns are refresh-time only
  6. C — CALCULATE modifies filters
  7. C — Measures are dynamic
  8. A-2, B-1, C-3
  9. C — DIVIDE handles zero safely
  10. A, B — Both are time intelligence
  11. C — Required for correct time calcs
  12. B — Bridge resolves many-to-many
  13. B, C — Iterators loop rows
  14. A — USERELATIONSHIP activates inactive relationships
  15. B — Stored in memory
  16. Single-direction

Visualize & Analyze (33–48)

  1. B — Best for categorical comparison
  2. B — Drillthrough navigates pages
  3. A, C — Support hierarchies
  4. Drillthrough
  5. B — Bookmarks store states
  6. B — Conditional formatting applies rules
  7. B, C — Columns only
  8. B — Context on hover
  9. C — Sync slicers cross pages
  10. B — Respects aggregation & security
  11. A, C — Fewer visuals, measures preferred
  12. A — Actual vs target
  13. B — Matrix supports grouping
  14. Q&A
  15. B — Edit interactions
  16. B — Part-to-whole

Manage & Secure (49–60)

  1. B — RLS filters rows
  2. B — Role-based filtering
  3. B, D — Can publish
  4. B — Defined in Desktop
  5. B — Hides columns/tables
  6. D — Viewer is read-only
  7. App
  8. C — Gateway enables refresh
  9. A, C — Supported auth types
  10. B — Incremental refresh
  11. D — Admin manages users
  12. B — Centralized, controlled distribution

Practice Questions: Apply Sensitivity Labels (PL-300 Exam Prep)

This post is a part of the PL-300: Microsoft Power BI Data Analyst Exam Prep Hub; and this topic falls under these sections: 
Manage and secure Power BI (15–20%)
--> Secure and govern Power BI items
--> Apply sensitivity labels


Below are 10 practice questions (with answers and explanations) for this topic of the exam.
There are also 2 practice tests for the PL-300 exam with 60 questions each (with answers) available on the hub.

Practice Questions


Question 1

What is the primary purpose of sensitivity labels in Power BI?

A. To restrict which rows of data users can see
B. To control workspace access
C. To classify and protect sensitive data
D. To improve report performance

Correct Answer: C

Explanation:
Sensitivity labels are used to classify data based on sensitivity and enable protection and governance—not to control access or filter data.


Question 2

Where are sensitivity labels created and managed?

A. Power BI Desktop
B. Power BI Service
C. Microsoft Purview (Microsoft 365 compliance portal)
D. Microsoft Entra ID

Correct Answer: C

Explanation:
Sensitivity labels are centrally defined and managed in Microsoft Purview. Power BI only consumes and applies them.


Question 3

Which Power BI items can have sensitivity labels applied? (Select all that apply)

A. Semantic models
B. Reports
C. Dashboards
D. Measures

Correct Answer: A, B, C

Explanation:
Labels can be applied to semantic models, reports, and dashboards, but not to individual measures or columns.


Question 4

What happens when a report is created using a labeled semantic model?

A. The report ignores the label
B. The report automatically inherits the label
C. The report applies Row-Level Security
D. The report requires Admin approval

Correct Answer: B

Explanation:
Sensitivity labels inherit and propagate to downstream content such as reports.


Question 5

Which statement about sensitivity labels is true?

A. Sensitivity labels filter data at query time
B. Sensitivity labels replace Row-Level Security
C. Sensitivity labels classify content but do not restrict row visibility
D. Sensitivity labels control workspace membership

Correct Answer: C

Explanation:
Sensitivity labels classify data and support protection but do not filter rows or control access.


Question 6

A user exports data from a labeled Power BI report to Excel. What is the expected behavior?

A. The label is removed
B. The label remains and is applied to the Excel file
C. Export is blocked automatically
D. RLS is disabled

Correct Answer: B

Explanation:
Sensitivity labels propagate to exported files, helping protect data outside Power BI.


Question 7

Which scenario best demonstrates the value of sensitivity labels?

A. Limiting data visibility by region
B. Preventing users from editing reports
C. Ensuring confidential data remains protected when shared or exported
D. Reducing dataset refresh times

Correct Answer: C

Explanation:
Sensitivity labels help protect data beyond Power BI by enforcing classification and downstream protections.


Question 8

Which Power BI security feature should be used instead of sensitivity labels to restrict rows of data?

A. Workspace roles
B. Object-Level Security
C. Row-Level Security
D. Build permission

Correct Answer: C

Explanation:
Row-Level Security (RLS) restricts which rows users can see. Sensitivity labels do not.


Question 9

Where can sensitivity labels be applied by a user?

A. Only in Power BI Desktop
B. Only in the Power BI Service
C. In both Power BI Desktop and Power BI Service
D. Only by Power BI Admins

Correct Answer: C

Explanation:
Sensitivity labels can be applied or updated in both Desktop and the Service, depending on permissions.


Question 10

Which statement best describes how sensitivity labels fit into Power BI security?

A. They replace workspace roles and RLS
B. They are optional and unrelated to governance
C. They complement other security features by supporting data classification
D. They are only used for auditing

Correct Answer: C

Explanation:
Sensitivity labels are part of a layered security and governance approach, complementing permissions, RLS, and workspace roles.


Final PL-300 Exam Reminders

  • Sensitivity labels are about classification and protection, not access control
  • Labels are created in Microsoft Purview, applied in Power BI
  • Labels propagate to reports and exported files
  • Labels work alongside RLS and permissions—not instead of them

Go back to the PL-300 Exam Prep Hub main page

Apply Sensitivity Labels (PL-300 Exam Prep)

This post is a part of the PL-300: Microsoft Power BI Data Analyst Exam Prep Hub; and this topic falls under these sections:
Manage and secure Power BI (15–20%)
--> Secure and govern Power BI items
--> Apply sensitivity labels


Note that there are 10 practice questions (with answers and explanations) for each topic of the exam.
There are also 2 practice tests for the PL-300 exam with 60 questions each (with answers) available on the hub.

Overview

Applying sensitivity labels is an important governance capability within Power BI and a tested topic in the “Manage and secure Power BI (15–20%)” domain of the PL-300: Microsoft Power BI Data Analyst certification exam. Sensitivity labels help organizations classify, protect, and control the handling of data across Power BI content and the broader Microsoft ecosystem.

For the exam, you should understand what sensitivity labels are, where they come from, how and where they are applied, what they do (and do not) enforce, and how they support data governance and compliance.


What Are Sensitivity Labels?

Sensitivity labels are metadata tags used to classify data based on its level of sensitivity, such as:

  • Public
  • Internal
  • Confidential
  • Highly Confidential

They are part of Microsoft Purview Information Protection (formerly Microsoft Information Protection) and are used consistently across Microsoft services, including:

  • Power BI
  • Microsoft Excel, Word, and PowerPoint
  • SharePoint and OneDrive

Key Concept: Sensitivity labels are about data classification and protection, not row-level filtering.


Purpose of Sensitivity Labels in Power BI

Sensitivity labels help organizations:

  • Identify sensitive or regulated data
  • Apply consistent data classification standards
  • Enforce downstream protections (e.g., encryption, restrictions)
  • Improve visibility and compliance reporting
  • Reduce the risk of data leakage

From an exam perspective, labels support governance, not access control.


Where Sensitivity Labels Come From

Sensitivity labels are:

  • Defined centrally in Microsoft Purview (via the Microsoft 365 compliance portal)
  • Created and managed by security or compliance administrators
  • Made available to Power BI through tenant settings

Power BI does not create labels—it only consumes and applies them.


Power BI Items That Can Be Labeled

Sensitivity labels can be applied to:

  • Semantic models
  • Reports
  • Dashboards
  • Dataflows
  • Excel files connected to Power BI datasets

Exam Tip: Labels are applied to items, not to individual columns or rows.


How Sensitivity Labels Are Applied

Manual Application

Users can manually apply sensitivity labels:

  • In Power BI Desktop
  • In the Power BI Service

Typically:

  • A label dropdown is available
  • Users select the appropriate classification
  • The label is saved as metadata on the item

Automatic / Default Labeling (Awareness Level)

Organizations may configure:

  • Default labels for new content
  • Mandatory labeling, requiring a label before saving or publishing

These configurations are handled outside Power BI but affect user behavior inside it.


Inheritance and Propagation

Sensitivity labels can inherit and propagate across Power BI content.

Examples:

  • A report inherits the label from its semantic model
  • Exported data (e.g., to Excel) retains the sensitivity label
  • Downstream files carry the classification

Exam Focus: Labels help maintain data classification beyond Power BI.


What Sensitivity Labels Do NOT Do

This distinction is frequently tested.

Sensitivity labels:

  • ❌ Do not filter rows (that’s RLS)
  • ❌ Do not control who can open reports
  • ❌ Do not replace workspace roles or permissions

Sensitivity labels:

  • ✅ Classify content
  • ✅ Enable downstream protection
  • ✅ Support compliance and governance

Sensitivity Labels vs Other Security Features

FeaturePurpose
Workspace rolesControl who can access content
RLSRestrict which rows users can see
Object-Level SecurityHide tables or columns
Sensitivity labelsClassify and protect data

PL-300 Focus: Understand how sensitivity labels complement, not replace, other security features.


Enforcement and Protection (Conceptual Awareness)

Depending on configuration, sensitivity labels may enforce:

  • Encryption of exported files
  • Restrictions on sharing
  • Watermarking or headers in documents
  • Limited access outside the organization

In Power BI, enforcement is typically indirect, affecting data after it leaves the service.


Applying Labels in Power BI Desktop vs Service

Power BI Desktop

  • Labels can be applied during report or model development
  • Labels are published with the content

Power BI Service

  • Labels can be applied or updated after publishing
  • Admins may enforce labeling policies

Governance Best Practices

  • Use sensitivity labels consistently across content
  • Align labels with organizational data policies
  • Apply labels at the semantic model level where possible
  • Educate users on correct label usage
  • Combine labels with RLS and permissions for layered security

Common Exam Scenarios

You may be asked to determine:

  • How to classify confidential data in Power BI
  • What happens when data is exported from a labeled report
  • Whether labels restrict user access
  • Which feature supports data classification and compliance

Key Takeaways for the PL-300 Exam

  • Sensitivity labels classify data by sensitivity level
  • Labels are created in Microsoft Purview, not Power BI
  • Power BI supports applying labels to multiple item types
  • Labels propagate to downstream content
  • Sensitivity labels support governance, not row-level filtering
  • Labels complement RLS, permissions, and workspace roles

Practice Questions

Go to the Practice Questions for this topic.

Configure Row-Level Security Group Membership (PL-300 Exam Prep)

This post is a part of the PL-300: Microsoft Power BI Data Analyst Exam Prep Hub; and this topic falls under these sections:
Manage and secure Power BI (15–20%)
--> Secure and govern Power BI items
--> Configure Row-Level Security Group Membership


Note that there are 10 practice questions (with answers and explanations) at the end of each topic. Also, there are 2 practice tests with 60 questions each available on the hub below all the exam topics.

Overview

Configuring Row-Level Security (RLS) group membership is a key governance and scalability topic within the “Manage and secure Power BI (15–20%)” domain of the PL-300: Microsoft Power BI Data Analyst certification exam. This topic builds on basic RLS concepts and focuses on how users are assigned to RLS roles, with an emphasis on using Microsoft Entra ID (Azure AD) security groups instead of individual users.

For the exam, you should understand where RLS roles are defined, where group membership is configured, how group-based RLS behaves, and why it is considered a best practice.


What Is RLS Group Membership?

RLS group membership refers to assigning security groups (rather than individual users) to Row-Level Security roles in a Power BI semantic model. Any user who is a member of the group automatically inherits the data access defined by the role.

This approach:

  • Improves scalability
  • Simplifies administration
  • Aligns with enterprise security standards
  • Reduces ongoing maintenance

Exam Focus: The PL-300 exam strongly favors group-based RLS as the recommended approach.


Where RLS Group Membership Is Configured

Understanding where actions occur is frequently tested.

Power BI Desktop

  • Create RLS roles
  • Define DAX filter expressions
  • No users or groups are assigned here

Power BI Service

  • Assign users or security groups to RLS roles
  • Manage role membership after publishing

Key Distinction:

  • Roles and filters → Desktop
  • Users and groups → Service

Why Use Security Groups for RLS?

Benefits of Group-Based RLS

  • Centralized identity management
    Groups are managed in Microsoft Entra ID, not Power BI.
  • Automatic access updates
    Adding or removing users from a group instantly updates data access.
  • Reduced administrative effort
    No need to modify RLS settings when staff changes.
  • Auditability and compliance
    Easier to review who has access and why.

Exam Tip: If a question asks for the most scalable or best practice approach, choose security groups.


Types of Groups Used in RLS

Supported Group Types

  • Microsoft Entra ID security groups (recommended)
  • Mail-enabled security groups

Not Recommended / Not Supported

  • Distribution lists (not ideal for security)
  • Microsoft 365 groups (not designed for RLS scenarios)

PL-300 Expectation: Know that security groups are the preferred option for RLS role membership.


Assigning Groups to RLS Roles

Step-by-Step (Power BI Service)

  1. Publish the semantic model from Power BI Desktop
  2. In the Power BI Service, open the semantic model
  3. Select Security
  4. Choose an RLS role
  5. Add one or more security groups
  6. Save changes

Once assigned, all group members inherit the role’s data filters.


Group Membership and Dynamic RLS

Group membership is often combined with dynamic RLS for maximum flexibility.

Common Pattern

  • RLS role contains a dynamic filter using USERPRINCIPALNAME()
  • A mapping table links users to business entities (e.g., region, department)
  • A security group controls who is subject to that role

This pattern:

  • Minimizes the number of roles
  • Supports large organizations
  • Separates identity management from data logic

How Group-Based RLS Is Evaluated

When a user opens a report:

  1. Power BI identifies the user’s Entra ID group memberships
  2. The user is matched to assigned RLS roles
  3. The union of all applicable role filters is applied
  4. Only authorized rows are returned

Important Exam Concept:
Users in multiple roles see the combined (union) of allowed data—not the most restrictive set.


Testing Group-Based RLS

In Power BI Desktop

  • Use View as
  • Test role logic only (group membership is not evaluated here)

In Power BI Service

  • Use View as role
  • Or test by signing in as a user who belongs to the group

Exam Awareness: Group membership itself cannot be fully tested in Desktop—only in the Service.


Common Pitfalls (Exam-Relevant)

  • Assigning individual users instead of groups
  • Expecting RLS to apply before publishing
  • Forgetting that group membership changes happen outside Power BI
  • Confusing workspace roles with RLS roles
  • Assuming admins bypass RLS automatically

RLS Group Membership vs Workspace Roles

FeatureWorkspace RolesRLS Group Membership
Controls content access
Controls data visibility
Uses Entra ID groups
Defined in Desktop
Assigned in Service

PL-300 Focus: These are complementary—not interchangeable—security mechanisms.


Governance and Best Practices

  • Always prefer security groups over individuals
  • Use clear, business-aligned group names
  • Keep RLS logic simple and documented
  • Coordinate with identity administrators
  • Review group membership regularly

Common Exam Scenarios

You may be asked to identify:

  • The best way to manage RLS for hundreds of users
  • Why a user gained or lost data access without a model change
  • Where to update access when an employee changes roles
  • How group membership impacts RLS evaluation

Key Takeaways for the PL-300 Exam

  • RLS roles are defined in Power BI Desktop
  • Group membership is configured in the Power BI Service
  • Microsoft Entra ID security groups are the recommended approach
  • Group-based RLS improves scalability and governance
  • Users see the union of all assigned RLS roles
  • RLS applies to all reports and apps using the semantic model

Practice Questions

Go to the Practice Questions for this topic.