Microsoft Power BI Data Analyst: PL-300 Exam

"Microsoft Power BI Data Analyst", also known as PL-300 exam, is a Microsoft Certification. With the complete collection of questions and answers, iPassleader has assembled to take you through 472 Q&As to your PL-300 Exam preparation. In the PL-300 exam resources, you will cover every field and category in Microsoft Certified: Power BI Data Analyst Associate Certification helping to ready you for your successful Microsoft Certification.

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  • Updated on: Oct 12, 2026
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  • No. of Questions: 472 Questions & Answers

Simulating the real exam — its timing, its scoring, its pressure — turns preparation into rehearsal. iPassleader builds that rehearsal into the Microsoft Power BI Data Analyst package alongside 472 verified practice questions.

Microsoft PL-300 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Power BI Data Analyst
Exam Number:PL-300
Exam Price:USD 165
Certificate Validity Period:12 months
Exam Duration:180 minutes
Available Languages:Arabic (Saudi Arabia), Spanish, Portuguese (Brazil), Italian, Indonesian, Russian, Chinese (Simplified), Japanese, English, French, Korean, Chinese (Traditional), German
Passing Score:700 (out of 1000)
Exam Format:Drag and drop, Multiple choice (single/multiple response), Case studies, Simulation, Performance-based
Related Certifications:Microsoft Certified: Power Platform Associate
Microsoft Certified: Data Analyst Associate
Real Exam Qty:40-60
Recommended Training:Microsoft Official Course: PL-300T00
Microsoft Learn - PL-300 Learning Path
Exam Registration:Microsoft Learn - Schedule Exam
Pearson VUE Registration
Sample Questions: DOWNLOAD DEMO
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No mandatory prerequisites; recommended experience: proficiency in Power Query, DAX, data profiling, and understanding of data security concepts
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Model the data25-30%- Design data models
  • 1. Create common date tables
    • 2. Implement role-playing dimensions
      • 3. Define tables, columns, and hierarchies
        • 4. Create relationships: cardinality, cross-filter direction, security
          - Optimize model performance
          • 1. Use aggregations and composite models
            • 2. Reduce cardinality and data size
              • 3. Optimize relationships and calculations
                - Create model calculations
                • 1. Use CALCULATE and filter context
                  • 2. Implement aggregation and time intelligence
                    • 3. Use DAX: calculated columns, calculated tables, measures
                      Topic 2: Prepare the data25-30%- Profile and clean data
                      • 1. Evaluate data statistics and column properties
                        • 2. Manage data types, columns, and rows
                          • 3. Resolve inconsistencies, null values, and errors
                            • 4. Transform data using Power Query Editor
                              - Get or connect to data
                              • 1. Identify and connect to data sources or shared semantic models
                                • 2. Configure data source settings, credentials, and privacy levels
                                  • 3. Create and modify parameters
                                    • 4. Choose storage modes: Import, DirectQuery, DirectLake
                                      - Load and configure data
                                      • 1. Define table structures and properties
                                        • 2. Integrate data from multiple sources
                                          • 3. Configure data refresh settings
                                            Topic 3: Manage and secure Power BI15-20%- Manage workspaces and assets
                                            • 1. Publish, update, and organize reports/datasets
                                              • 2. Manage data refresh and scheduled updates
                                                • 3. Create and configure workspaces
                                                  - Implement security and governance
                                                  • 1. Manage permissions and access
                                                    • 2. Configure row-level security (RLS) and object-level security
                                                      • 3. Apply data sensitivity labels and protection
                                                        - Deploy and distribute content
                                                        • 1. Embed content in applications or websites
                                                          • 2. Share reports, dashboards, and apps
                                                            • 3. Monitor usage and performance
                                                              Topic 4: Visualize and analyze data25-30%- Create reports and dashboards
                                                              • 1. Apply filters, slicers, and drill-through
                                                                • 2. Choose appropriate visualizations
                                                                  • 3. Create dashboards and pinned elements
                                                                    • 4. Design report layout, formatting, and interactivity
                                                                      - Perform data analysis
                                                                      • 1. Interpret results and identify trends
                                                                        • 2. Create and manage bookmarks and tooltips
                                                                          • 3. Implement custom visuals and R/Python scripts
                                                                            - Enhance reports with analytics
                                                                            • 1. Use AI visuals, forecasts, and key influencers
                                                                              • 2. Create paginated reports
                                                                                • 3. Apply conditional formatting and custom visuals

                                                                                  Inside Our Microsoft Power BI Data Analyst Practice Material

                                                                                  None that matter: downloads are unlimited and there is no meter on usage time, so you can reinstall the engine and practice with the PL-300 questions as often as you need. The software runs on Windows with a standard Java environment and simulates the real exam scenario session after session.

                                                                                  The Microsoft Power BI Data Analyst exam contains 40-60 questions, and you will have 180 minutes minutes to complete them. Unlimited practice sessions are what make this pacing feel natural by exam day.

                                                                                  This package includes 472 practice questions for the Microsoft Power BI Data Analyst exam. Every answer is verified by an experienced team of experts, so you can trust what you study.

                                                                                  You can register for the Microsoft Power BI Data Analyst exam through the official channels:

                                                                                  The Microsoft Power BI Data Analyst exam is scored on a scale where 700 (out of 1000) is required to pass, and the official exam fee is USD 165.

                                                                                  No mandatory prerequisites; recommended experience: proficiency in Power Query, DAX, data profiling, and understanding of data security concepts

                                                                                  You can confirm the current eligibility requirements on the official PL-300 exam page before you register.

                                                                                  Many candidates combine practice questions with official training. Recommended options include:

                                                                                  The Microsoft Power BI Data Analyst exam requires a score of 700 (out of 1000) to pass, and the official registration fee is USD 165. Budgeting for both the fee and solid preparation avoids paying twice.

                                                                                  Yes. The PDF version works well as training and teaching material: print it for classroom sessions, share it across a certification study group, or use it as handout content during internal courses. Many company buyers choose this version for exactly that purpose, and printing is unlimited.

                                                                                  The Microsoft Power BI Data Analyst practice questions are organized around the official exam objectives. Key topics include:

                                                                                  • Visualize and analyze data (25-30%)
                                                                                  • Manage and secure Power BI (15-20%)
                                                                                  • Model the data (25-30%)

                                                                                  Team training sessions can follow this topic list to keep everyone on the same page.

                                                                                  Microsoft Power BI Data Analyst Sample Questions:

                                                                                  You have a Power BI workspace that contains a semantic model. a report, and a dashboard. The following groups have access:
                                                                                  ; External users can access the dashboard.
                                                                                  ; Managers can access the dashboard and a manager-specific report.
                                                                                  ; Employees can access the dashboard and a row-level security (RLS) constrained report.
                                                                                  You need all users, including the external users, to be able to tag workspace administrators if they identify an issue with the dashboard. The solution must ensure that other users see the issues that were raised.
                                                                                  What should you use?

                                                                                  • A. subscriptions
                                                                                  • B. comments
                                                                                  • C. alerts
                                                                                  • D. chat in Microsoft Teams
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: B  🗳️

                                                                                  Explanation: Only visible for iPassleader 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.
                                                                                  You have a Power BI report that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys:
                                                                                  Due Date
                                                                                  Order Date
                                                                                  Delivery Date
                                                                                  You need to support the analysis of sales over time based on all the date foreign keys.
                                                                                  Solution: For each date foreign key, you add inactive relationships between the sales table and the date table.
                                                                                  Does this meet the goal?

                                                                                  • A. Yes
                                                                                  • B. No
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: B  🗳️

                                                                                  Explanation: Only visible for iPassleader members. You can sign-up / login (it's free).

                                                                                  You have a Power BI data model that analyzes product sales ever time. The data model contains the following tables.

                                                                                  A one-to-many relationship exists between the tables.
                                                                                  The auto date/time option for the data model enabled.
                                                                                  You need to reduce the size of the data model while maintaining the ability to analyze product sales by month and quarter.
                                                                                  Which two actions should you perform?

                                                                                  • A. Disable the load on the Date table.
                                                                                  • B. Create a Date table and select Mark as date table.
                                                                                  • C. Disable the auto date/time option.
                                                                                  • D. Create a relationship between the Date table and the Sales table.
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: B,C  🗳️

                                                                                  Explanation: Only visible for iPassleader 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.
                                                                                  You create a parameter named DataSourceExcel that holds the file name and location of a Microsoft Excel data source.
                                                                                  You need to update the query to reference the parameter instead of multiple hard-coded copies of the location within each query definition.
                                                                                  Solution: You add a Power Apps custom visual to the report.
                                                                                  Does this meet the goal?

                                                                                  • A. Yes
                                                                                  • B. No
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: B  🗳️

                                                                                  Explanation: Only visible for iPassleader members. You can sign-up / login (it's free).

                                                                                  You create a data model in Power BI.
                                                                                  Report developers and users provide feedback that the data model is too complex.
                                                                                  The model contains the following tables.

                                                                                  The model has the following relationships:
                                                                                  *There is a one-to-one relationship between Sales_Region and Region_Manager.
                                                                                  *There are more records in Manager than in Region_Manager, but every record in Region_Manager has a corresponding record in Manager.
                                                                                  *There are more records in Sales_Manager than in Sales_Region, but every record in Sales_Region has a corresponding record in Sales_Manager.
                                                                                  You need to denormalize the model into a single table. Only managers who are associated to a sales region must be included in the reports.
                                                                                  Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
                                                                                  NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer:


                                                                                  Explanation:
                                                                                  The completed mapping shown in the answer area is correct. The key constraint is to denormalize the model into a single table. Only managers who are associated to a sales region must be included in the reports. A merge joins columns from related tables by matching key values. That is the appropriate operation when one output row must contain attributes from both sources; append would stack rows instead. This directly matches the current study-guide objective " Merge and append queries " . Append stacks records vertically and therefore cannot bring related attributes onto the same row; that requires a key-based merge. The join type also preserves the inclusion rule stated in the scenario while avoiding an unrelated increase in table grain.
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/merge-queries-overview | PL-300 objective: " Merge and append queries " | Study guide: https://learn.microsoft.com/en-us/credentials
                                                                                  /certifications/resources/study-guides/pl-300

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