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Instant Download Microsoft : PL-300 Questions & Answers as PDF & Test Engine

PL-300
  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst
  • Updated: Nov 06, 2026
  • No. of Questions: 472 Questions and Answers
  • Download Limit: Unlimited
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In 2026, the service behind a product is part of the product. Lead2Passed backs 472 practice questions for the PL-300 exam with support that answers around the clock, every day of the year.

Microsoft PL-300 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Power BI Data Analyst
Exam Number:PL-300
Real Exam Qty:40-60
Exam Duration:180 minutes
Certificate Validity Period:12 months
Exam Price:USD 165
Related Certifications:Microsoft Certified: Data Analyst Associate
Microsoft Certified: Power Platform Associate
Exam Format:Case studies, Performance-based, Simulation, Multiple choice (single/multiple response), Drag and drop
Passing Score:700 (out of 1000)
Available Languages:Chinese (Simplified), Chinese (Traditional), Korean, Japanese, German, Arabic (Saudi Arabia), English, Spanish, French, Italian, Portuguese (Brazil), Russian, Indonesian
Recommended Training:Microsoft Learn - PL-300 Learning Path
Microsoft Official Course: PL-300T00
Exam Registration:Pearson VUE Registration
Microsoft Learn - Schedule Exam
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: Visualize and analyze data25-30%- Enhance reports with analytics
  • 1. Apply conditional formatting and custom visuals
    • 2. Use AI visuals, forecasts, and key influencers
      • 3. Create paginated reports
        - Perform data analysis
        • 1. Interpret results and identify trends
          • 2. Implement custom visuals and R/Python scripts
            • 3. Create and manage bookmarks and tooltips
              - Create reports and dashboards
              • 1. Design report layout, formatting, and interactivity
                • 2. Create dashboards and pinned elements
                  • 3. Choose appropriate visualizations
                    • 4. Apply filters, slicers, and drill-through
                      Topic 2: 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. Share reports, dashboards, and apps
                                    • 2. Monitor usage and performance
                                      • 3. Embed content in applications or websites
                                        Topic 3: Prepare the data25-30%- Load and configure data
                                        • 1. Define table structures and properties
                                          • 2. Configure data refresh settings
                                            • 3. Integrate data from multiple sources
                                              - 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. Transform data using Power Query Editor
                                                        • 2. Manage data types, columns, and rows
                                                          • 3. Resolve inconsistencies, null values, and errors
                                                            • 4. Evaluate data statistics and column properties
                                                              Topic 4: Model the data25-30%- Optimize model performance
                                                              • 1. Optimize relationships and calculations
                                                                • 2. Use aggregations and composite models
                                                                  • 3. Reduce cardinality and data size
                                                                    - Design data models
                                                                    • 1. Create relationships: cardinality, cross-filter direction, security
                                                                      • 2. Implement role-playing dimensions
                                                                        • 3. Define tables, columns, and hierarchies
                                                                          • 4. Create common date tables
                                                                            - Create model calculations
                                                                            • 1. Use CALCULATE and filter context
                                                                              • 2. Use DAX: calculated columns, calculated tables, measures
                                                                                • 3. Implement aggregation and time intelligence

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

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

                                                                                  Microsoft Power BI Data Analyst Sample Questions:

                                                                                  You need to calculate the last day of the month in the balance sheet data to ensure that you can relate the balance sheet data to the Date table. Which type of calculation and which formula should you use? 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:
                                                                                  Calculation type: Power Query custom column; Formula: Date.EndOfMonth(#date([Year], [Month] , 1)) Type of calculation An M custom column Formula Date.EndOfMonth(#date([Year], [Month] , 1)) Date.EndOfMonth returns the last date in the month containing its input date. Building the date from the Year and Month fields in a Power Query custom column therefore creates the exact month-end key required for the relationship. The supported result is Calculation type: Power Query custom column; Formula: Date.
                                                                                  EndOfMonth(#date([Year], [Month] , 1)). What determines the answer is the need to calculate the last day of each balance-sheet month so the rows can relate to the Date table. A DAX measure would not create a row- level relationship key, and a quarter-end function would return the wrong date for most months. This rationale is anchored to the PL-300 objective " Create and transform columns " .
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/powerquery-m/date-endofmonth | PL-300 objective: " Create and transform columns " | Study guide: https://learn.microsoft.com/en-us/credentials
                                                                                  /certifications/resources/study-guides/pl-300

                                                                                  You have the Power BI data model shown in the following exhibit.

                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer:


                                                                                  Explanation:
                                                                                  The retained answer-area mapping contains the correct selections. Begin with the scenario statement that you have the power bi data model shown in the following exhibit. The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path. The relationship must carry filters from the descriptive table to the transaction table through matching keys. Bidirectional filtering is reserved for a demonstrated need because it can introduce multiple active paths. In Microsoft ' s current exam outline, the corresponding objective is " Define a relationship ' s cardinality and cross-filter direction " . It also preserves predictable filter context and aggregation behavior when the result is used by several visuals or report pages.
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop- relationships-understand | PL-300 objective: " Define a relationship ' s cardinality and cross-filter direction "
                                                                                  | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

                                                                                  What should you do to address the existing environment data concerns?

                                                                                  • A. a calculated column that uses the following formula: ABS(Sales[sales_amount])
                                                                                  • B. a calculated column that uses the following formula: IF(ISBLANK(Sales[sales_amount]),0, (Sales
                                                                                    [sales_amount] ))
                                                                                  • C. a measure that uses the following formula: SUMX(FILTER( ' Sales ' , ' Sales ' [sales_amount] > 0)),
                                                                                    [sales_amount])
                                                                                  • D. a measure that uses the following formula: SUM(Sales[sales_amount])
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: C  🗳️

                                                                                  Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).

                                                                                  You have a Power BI semantic model that contains two tables named Sales and Forecast. Both tables contain a date column.
                                                                                  You need to create a calculated table that will cover the range of dates in both tables.
                                                                                  How should you complete the DAX expression? 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:

                                                                                  Measures are evaluated in the current filter context, whereas calculated columns are stored at refresh. The selected DAX must therefore return the requested result at the correct grain without materializing unnecessary model data. Use the selections preserved in the answer exhibit as the supported configuration. The deciding requirement in this question is to create a calculated table that will cover the range of dates in both tables. A measure would not create the persistent row-level field or table needed for sorting, categorization, relationships, or reuse in the model. This rationale is anchored to the PL-300 objective " Create calculated tables or columns " .
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/dax/ | PL-300 objective: " Create calculated tables or columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study- guides/pl-300

                                                                                  You have a semantic model that uses a live connection to a semantic model in the Power BI service. You need to create a Power BI report named RPT1 that only uses the live connection.
                                                                                  Which three components can you add to RPT1? Each correct answer presents a complete solution.

                                                                                  • A. a new column
                                                                                  • B. a new table
                                                                                  • C. a calculated column
                                                                                  • D. a calculated table
                                                                                  • E. a report measure
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: C,D,E  🗳️

                                                                                  Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).

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