In 2026, busy professionals preparing for PL-300 need study material that respects their schedule: PassReview organizes 472+ Q&As covering the Microsoft Power BI Data Analyst objectives into a question bank you can review whenever time allows.
Microsoft PL-300 Exam Overview:
| Certification Vendor: | Microsoft |
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| Exam Name: | Microsoft Power BI Data Analyst |
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| Exam Number: | PL-300 |
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| Available Languages: | Korean, English, Chinese (Simplified), Japanese |
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| Exam Price: | $165.00 USD |
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| Passing Score: | 700 (scaled score, passing not publicly disclosed) |
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| Certificate Validity Period: | 1 year |
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| Real Exam Qty: | 40-60 |
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| Exam Duration: | 120 minutes |
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| Related Certifications: | Microsoft Certified: Power BI Data Analyst Associate |
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| Exam Format: | Multiple choice, Case study, Drag and drop, Short answer |
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| Sample Questions: |  |
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| Exam Way: | Online proctored exam (Pearson VUE) or in-person testing center |
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| Pre Condition: | No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam. |
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| Official Syllabus URL: | https://learn.microsoft.com/en-us/certifications/exams/pl-300/ |
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Microsoft PL-300 Exam Syllabus Topics:
| Section | Weight | Objectives |
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| Model the Data | 25-30% | - Develop the data model
- 1. Use the calculation group feature
- 2. Configure table relationships
- 3. Implement row-level security roles
- 4. Create common date tables
- 5. Build hierarchies and hierarchical fields
- 6. Create calculated tables and columns
- Optimize model performance
- 1. Configure aggregations
- 2. Validate performance and resolve issues
- 3. Optimize DirectQuery models
- 4. Optimize Dax queries
- 5. Improve user experience by hiding objects
- Design a data model
- 1. Resolve performance issues with relationships
- 2. Apply field metadata and groupings
- 3. Determine the appropriate granularity
- 4. Design a star schema or snowflake schema
- 5. Define tables and table schemas
- 6. Implement row-level security
- Create measures and DAX calculations
- 1. Create calculated measures
- 2. Use CALCULATE and FILTER functions
- 3. Use Time Intelligence functions
- 4. Implement context transition
- 5. Write and use basic DAX syntax
- 6. Create semi-additive measures
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| Manage and Maintain Workspace Items | 10-15% | - Manage datasets
- 1. Resolve dataset permission issues
- 2. Configure dataset metadata and properties
- 3. Manage dataset refresh scheduling
- 4. Manage gateways and data sources
- Create and manage workspaces
- 1. Publish and update a Power BI app
- 2. Configure workspace membership and roles
- 3. Endorse sensitive content with sensitivity labels
- 4. Configure content certification
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| Visualize the Data | 25-30% | - Enrich reports with advanced visuals
- 1. Integrate Microsoft Copilot for Power BI
- 2. Use dynamic page navigation
- 3. Create custom visuals
- 4. Configure R and Python visuals
- Build visuals
- 1. Determine the appropriate visual type
- 2. Apply AI insights and enhanced analytics
- 3. Format and configure pages and report backgrounds
- 4. Configure visual interactions and cross-filtering
- 5. Configure data colors and shapes
- 6. Apply sorting and filtering to visuals
- Enhance reports for user experience
- 1. Add tooltips and navigation
- 2. Design for mobile and specific layouts
- 3. Add accessibility features and compliance
- 4. Apply artistic formatting to visuals
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| Analyze the Data | 10-15% | - Work with metrics in Power BI
- 1. Define and monitor KPIs
- 2. Create metrics using Microsoft measurements
- 3. Use the Decomposition Tree visual
- 4. Track goals with scorecards
- Perform analysis in Power BI
- 1. Configure auto-insights
- 2. Identify patterns and trends
- 3. Use the Q&A visual
- 4. Apply Quick Insights
- 5. Generate Pinn visual insights
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| Prepare the Data | 10-15% | - Get data from various data sources
- 1. Change data source settings
- 2. Configure dataset refresh
- 3. Select a shared dataset or create a local copy
- 4. Use Microsoft Fabric and OneLake
- 5. Identify and connect to a data source
- 6. Choose between DirectQuery, Import, and Dual storage modes
- Clean, transform, and load the data
- 1. Resolve data quality issues
- 2. Determine proper data types
- 3. Design and build intermediate tables
- 4. Profile the data
- 5. Identify the data structure
- 6. Apply user-friendly naming conventions to columns and tables
- 7. Configure data loading and queries
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What Candidates Ask Before Preparing for PL-300 with PassReview
No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam.
The current Microsoft Power BI Data Analyst outline breaks down like this:
- Prepare the Data (10-15%)
- Model the Data (25-30%)
- Manage and Maintain Workspace Items (10-15%)
Start your review with the heaviest sections and let the PassReview question bank fill in the details as you practice.
The exam contains about 40-60 questions and gives you 120 minutes minutes to finish them. Working through 472 practice questions for the PL-300 exam at PassReview trains you to hold a steady pace from the first item to the last.
You need 700 (scaled score, passing not publicly disclosed) to pass, and the registration fee is $165.00 USD. Considering that fee, preparing thoroughly once with verified PassReview material costs far less than paying for a retake.
Customer service runs 24 hours a day, 7 days a week, all year round. Whether you send a study question or share your passing score, the team replies within about three hours, and email answers typically arrive within two hours. If a reply ever seems late, check your spam folder first, then contact support again.
Yes on both counts. After you pass PL-300 with a good score, PassReview gives you a discount when you buy materials for other exams. And if you represent a company interested in long-term cooperation, PassReview offers a discount of more than fifty percent from the second year onward — contact the team to set up an arrangement.
PassReview builds its PL-300 question bank around verified answers checked by IT specialists, reviews vendor updates daily, answers customer messages within about three hours around the clock, and keeps every purchase current with 365 days of free updates — so you always study material that matches what the Microsoft Power BI Data Analyst exam expects today.
Microsoft Power BI Data Analyst Sample Questions:
You have a sales system that contains the tables shown in the following table.
The Date table is marked as a date table.
DatelD is the date data type. You need to create an annual sales growth percentage measure.
Which DAX expression should you use?
- A. CALCULATE(SUM(sales[sales_amount]), SAMEPERIODLASTYEAR('Date'[DateID] ))
- B. SUM(sales[sales_amount]) - CALCULATE(SUM(sales[sales_amount] ), SAMEPERIODLASTYEAR(
' Date ' [DateID])
- C. CALCULATE(SUM(sales[sales_amount]), DATESYTD('Date'[DateID] ))
- D. (SUM('Sales'[sales_amount]) - CALCULATE(SUM('Sales'[sales_amount] ), SAMEPERIODLASTYEAR('Date'[DateID])))/ CALCULATE(SUM('Sales'[sales_amount] ), SAMEPERIODLASTYEAR('Date'[DateID]))
Reveal Solution
Discussion
Correct Answer: D 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
You have a Power BI semantic model that contains the following tables.
You need to define a relationship from FactSales to DimProduct. The solution must ensure the fastest DAX query performance.
Which cardinality should you use?
- A. one-to-many
- B. many-to-many
- C. many-to-one
- D. one-to-one
Reveal Solution
Discussion
Correct Answer: C 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
You have a Microsoft 365 subscription that contains the resources shown in the following table.
You create a new dashboard that uses row-level security (RLS) filters You define a new role named Consultants.
To which resource can you assign the Consultants role?
- A. Group 1
- B. Group2
- C. Team1
- D. Sales reports
Reveal Solution
Discussion
Correct Answer: B 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
From Power Query Editor, you profile the data shown in the following exhibit.
The IOT ID columns are unique to each row in query.
You need to analyze 10T events by the hour and day of the year. The solution must improve semantic model performance.
Solution: You create a custom column that concatenates the 10T GUID column and the IoT ID column and then delete the IoT GUID and IoT ID columns.
Does this meet the goal?
Reveal Solution
Discussion
Correct Answer: B 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
You have the CSV file shown in the following table.
You use Power Query Editor to preview the data in the file.
You need to transform the data to meet the following requirements:
; The first column must contain the month.
; The second column must contain the year.
; The third column must contain the order amount for the month and year.
Which transformation should you use first?
- A. pivot
- B. transpose
- C. remove
- D. unpivot
Reveal Solution
Discussion
Correct Answer: D 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
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