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Microsoft PL-300

PL-300

Exam Code: PL-300

Exam Name: Microsoft Power BI Data Analyst

Updated: Nov 05, 2026

Q & A: 472 Questions and Answers

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About Microsoft PL-300 Exam

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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300

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Understanding Microsoft Power BI Data Analyst Certification Exam Topics

Microsoft Power BI Data Analyst Certification Exam Topics are below:

  • Deploy and maintain assets (20-25%)
  • Prepare the data (15-20%)
  • Visualize and analyze the data (25-30%)
  • Model the data (30-35%)

Microsoft Power BI Data Analyst Exam Certification Details:

Books / TrainingCourse PL-300T00: Microsoft Power BI Data Analyst
Duration180 mins
Sample QuestionsMicrosoft Power BI Data Analyst Sample Questions
Passing Score700 / 1000
Exam CodePL-300
Number of Questions40-60
Exam Price$165 (USD)
Exam NameMicrosoft Certified - Power BI Data Analyst Associate
Schedule ExamPearson VUE

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Microsoft PL-300 Exam Syllabus Topics:

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

                                                                                  Microsoft Power BI Data Analyst Sample Questions:

                                                                                  Question #1
                                                                                  You need to create the required relationship for the executive ' s visual. What should you do before you can create the relationship?

                                                                                  A. Change the data type of sales[sales_id] to Text.
                                                                                  B. Change the data type of Sales[region_id] to Whole Number.
                                                                                  C. Change the data type of sales [region_id] to Decimal Number.
                                                                                  D. In the Sales table, add a measure for sum(sales_amount).


                                                                                  Question #2
                                                                                  You have a data model that contains many complex DAX expressions. The expressions contain frequent references to the RELATED and RELATEDTABLE functions.
                                                                                  You need to recommend a solution to minimize the use of the RELATED and RELATEDTABLE functions.
                                                                                  What should you recommend?

                                                                                  A. Hide unused columns in the model.
                                                                                  B. Split the model into multiple models.
                                                                                  C. Merge tables by using Power Query.
                                                                                  D. Transpose.


                                                                                  Question #3
                                                                                  You have the Power BI data model shown in the following exhibit.

                                                                                  Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
                                                                                  NOTE: Each correct selection is worth one point.


                                                                                  Question #4
                                                                                  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 report measure
                                                                                  B. a new table
                                                                                  C. a calculated column
                                                                                  D. a calculated table
                                                                                  E. a new column


                                                                                  Question #5
                                                                                  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. chat in Microsoft Teams
                                                                                  B. subscriptions
                                                                                  C. comments
                                                                                  D. alerts


                                                                                  Solutions:

                                                                                  Question #1
                                                                                  Correct Answer: B
                                                                                  Question #2
                                                                                  Correct Answer: C
                                                                                  Question #3
                                                                                  Correct Answer: Only visible for members
                                                                                  Question #4
                                                                                  Correct Answer: A,C,D
                                                                                  Question #5
                                                                                  Correct Answer: C

                                                                                  PL-300 Related Exams
                                                                                  PL-300-Deutsch - Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
                                                                                  PL-300J - Microsoft Power BI Data Analyst (PL-300日本語版)
                                                                                  PL-300-KR - Microsoft Power BI Data Analyst (PL-300 Korean Version)
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