Microsoft PL-300 : Microsoft Power BI Data Analyst

  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst
  • Updated: Sep 19, 2026
  • Q & A: 472 Questions and Answers

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About Microsoft PL-300 Exam Questions

A high reputation in the IT field is earned with accuracy. ValidVCE maintains both for the Microsoft Power BI Data Analyst — 472 practice questions for the PL-300 exam, current through 2026.

Microsoft PL-300 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Power BI Data Analyst
Exam Number:PL-300
Exam Format:Performance-based, Drag and drop, Case studies, Simulation, Multiple choice (single/multiple response)
Passing Score:700 (out of 1000)
Certificate Validity Period:12 months
Exam Duration:180 minutes
Related Certifications:Microsoft Certified: Power Platform Associate
Microsoft Certified: Data Analyst Associate
Exam Price:USD 165
Available Languages:German, French, English, Italian, Japanese, Russian, Portuguese (Brazil), Spanish, Chinese (Traditional), Arabic (Saudi Arabia), Indonesian, Chinese (Simplified), Korean
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:Free Download still valid PL-300 vce
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
Model the data25-30%- Design data models
  • 1. Create relationships: cardinality, cross-filter direction, security
    • 2. Implement role-playing dimensions
      • 3. Create common date tables
        • 4. Define tables, columns, and hierarchies
          - Optimize model performance
          • 1. Reduce cardinality and data size
            • 2. Use aggregations and composite models
              • 3. Optimize relationships and calculations
                - Create model calculations
                • 1. Implement aggregation and time intelligence
                  • 2. Use CALCULATE and filter context
                    • 3. Use DAX: calculated columns, calculated tables, measures
                      Manage and secure Power BI15-20%- Deploy and distribute content
                      • 1. Share reports, dashboards, and apps
                        • 2. Embed content in applications or websites
                          • 3. Monitor usage and performance
                            - Implement security and governance
                            • 1. Apply data sensitivity labels and protection
                              • 2. Configure row-level security (RLS) and object-level security
                                • 3. Manage permissions and access
                                  - Manage workspaces and assets
                                  • 1. Manage data refresh and scheduled updates
                                    • 2. Create and configure workspaces
                                      • 3. Publish, update, and organize reports/datasets
                                        Prepare the data25-30%- Load and configure data
                                        • 1. Configure data refresh settings
                                          • 2. Integrate data from multiple sources
                                            • 3. Define table structures and properties
                                              - Get or connect to data
                                              • 1. Configure data source settings, credentials, and privacy levels
                                                • 2. Identify and connect to data sources or shared semantic models
                                                  • 3. Create and modify parameters
                                                    • 4. Choose storage modes: Import, DirectQuery, DirectLake
                                                      - Profile and clean data
                                                      • 1. Resolve inconsistencies, null values, and errors
                                                        • 2. Transform data using Power Query Editor
                                                          • 3. Manage data types, columns, and rows
                                                            • 4. Evaluate data statistics and column properties
                                                              Visualize and analyze data25-30%- Create reports and dashboards
                                                              • 1. Apply filters, slicers, and drill-through
                                                                • 2. Design report layout, formatting, and interactivity
                                                                  • 3. Choose appropriate visualizations
                                                                    • 4. Create dashboards and pinned elements
                                                                      - 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. Apply conditional formatting and custom visuals
                                                                              • 2. Create paginated reports
                                                                                • 3. Use AI visuals, forecasts, and key influencers

                                                                                  Microsoft Power BI Data Analyst Exam FAQ — Complete Answers

                                                                                  The Microsoft Power BI Data Analyst blueprint spans 4 domains — including Prepare the data (25-30%), Model the data (25-30%), Visualize and analyze data (25-30%). Weightings show where the exam concentrates; the full outline above covers every subtopic.

                                                                                  Through the vendor's official registration channels:

                                                                                  The Microsoft Power BI Data Analyst is delivered Online proctored or onsite at Pearson VUE test centers — choose the arrangement that suits you when booking.

                                                                                  USD 165 per attempt, 700 (out of 1000) to pass. Every retake bills the full fee, so make practice thorough first — the 472 practice questions for the PL-300 exam at ValidVCE are the affordable rehearsal.

                                                                                  Delivery is instant — an automatic email within a minute of payment, unlimited installations, and 24/7 customer assisting for downloading or purchasing problems if nothing arrives within 2 hours. If you fail the corresponding PL-300 exam within 60 days of purchase, pick your remedy: a full refund (email a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam; after confirmation, processed within 7 days), waiting for the next updated version free, or a free change to two other equal-value dumps. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products.

                                                                                  Yes:

                                                                                  Training covers theory; interactive practice covers readiness. After any course, rehearse with the 472 practice questions for the Microsoft Power BI Data Analyst — every answer expert-verified.

                                                                                  The Microsoft Power BI Data Analyst is Microsoft's certification exam for Microsoft Certified: Power BI Data Analyst Associate, at the Associate level. It demonstrates verified, job-relevant capability to employers. Related credentials include Microsoft Certified: Data Analyst Associate, Microsoft Certified: Power Platform Associate.

                                                                                  180 minutes for 40-60 questions. Rehearse the format interactively: the ValidVCE online engine recreates the test atmosphere, so pacing is trained before it counts.

                                                                                  Yes — a free Microsoft Power BI Data Analyst demo is available to download on our exam page. Evaluate the material yourself; purchases include 365 days of free updates, emailed immediately upon release, renewable at 50% off afterward.

                                                                                  No mandatory prerequisites; recommended experience: proficiency in Power Query, DAX, data profiling, and understanding of data security concepts Eligibility rules change from time to time, so confirm the current requirements on the official page (official PL-300 exam page) before booking.

                                                                                  Microsoft Power BI Data Analyst Sample Questions:

                                                                                  Question #1

                                                                                  You open a query in Power Query Editor.
                                                                                  You need to identify the percentage of empty values in each column as quickly as possible.
                                                                                  Which Data Preview option should you select?

                                                                                  • A. Column quality
                                                                                  • B. Column distribution
                                                                                  • C. Show whitespace
                                                                                  • D. Column profile
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: A  🗳️

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

                                                                                  Question #2

                                                                                  You have two Azure SQL databases that contain the same tables and columns.
                                                                                  For each database, you create a query that retrieves data from a table named Customers.
                                                                                  You need to combine the Customer tables into a single table. The solution must minimize the size of the data model and support scheduled refresh in the Power BI service.
                                                                                  What should you do? To answer, select the appropriate options in the answer area.
                                                                                  NOTE: Each correct selection is worth one point.

                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer:


                                                                                  Explanation:

                                                                                  The scenario is asking for a way to combine the Customer tables into a single table. The solution must minimize the size of the data model and support scheduled refresh in the Power BI service. Read the completed answer mapping as 1) Append Queries as New; 2) Disable loading the query to the data model.
                                                                                  Merge joins columns by key and would change the width of the result rather than combine same-schema records into one table. Append as New stacks the two same-schema Customers query results into a separate combined query. Disabling load for the staging queries avoids storing duplicate copies while leaving the combined query refreshable. The current skills outline describes this competency as " Merge and append queries " .
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/append-queries | PL-300 objective: " Merge and append queries " | Study guide: https://learn.microsoft.com/en-us/credentials
                                                                                  /certifications/resources/study-guides/pl-300

                                                                                  Question #3

                                                                                  You merge data from Sales.Region, Region_Manager, Sales_Manager, and Manager into a single table named Region. What should you do next to meet the reporting requirements of the executives?

                                                                                  • A. Configure a bi-directional relationship between Region and Sales.Region.
                                                                                  • B. In the Region table, create a hierarchy that has the manager name, and then the sales manager name.
                                                                                  • C. Apply row-level security (RLS) to the Region table based on the sales manager username.
                                                                                  • D. Create a DAX calculated column that retrieves the region manager from the Weekly.Returns table based on the sales.regionjd column.
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: B  🗳️

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

                                                                                  Question #4

                                                                                  You have a Power BI model that contains a table named Sales. The Sales table contains the following columns:
                                                                                  ; Order Line ID
                                                                                  ; Product ID
                                                                                  ; Unit Price
                                                                                  ; Order ID
                                                                                  ; Quantity
                                                                                  Orders are uniquely identified by using the order ID and can have multiple order lines Each order line within an order contains a different product ID.
                                                                                  You need to write a DAX measure that counts the number of orders.
                                                                                  Which formula should you use?

                                                                                  • A. Count ( ' Sales ' (Order ID])
                                                                                  • B. CountA (Sale** (Order ID])
                                                                                  • C. CountRows( ' Sales ' )
                                                                                  • D. DistinctCount (sales ' [Order ID])
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: D  🗳️

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

                                                                                  Question #5

                                                                                  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: In the Power Query M code, you replace references to the Excel file with DataSourceExcel.
                                                                                  Does this meet the goal?

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

                                                                                  Correct Answer: B  🗳️

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

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