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  • Total Questions: 472
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Paper person or screen person, iPassleader covers both: the PL-300 package comes as a printable PDF you can annotate by hand, a Windows test engine, and an online version for any browser. Every one of the 472 practice questions for the Microsoft Power BI Data Analyst is identical across formats.

Microsoft PL-300 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Power BI Data Analyst
Exam Number:PL-300
Passing Score:700 (out of 1000)
Available Languages:Russian, Portuguese (Brazil), Arabic (Saudi Arabia), Chinese (Traditional), English, Japanese, German, Korean, Chinese (Simplified), Spanish, Italian, Indonesian, French
Certificate Validity Period:12 months
Real Exam Qty:40-60
Exam Format:Performance-based, Drag and drop, Case studies, Simulation, Multiple choice (single/multiple response)
Exam Price:USD 165
Exam Duration:180 minutes
Related Certifications:Microsoft Certified: Data Analyst Associate
Microsoft Certified: Power Platform Associate
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
Model the data25-30%- Optimize model performance
  • 1. Reduce cardinality and data size
    • 2. Use aggregations and composite models
      • 3. Optimize relationships and calculations
        - Design data models
        • 1. Define tables, columns, and hierarchies
          • 2. Create relationships: cardinality, cross-filter direction, security
            • 3. Create common date tables
              • 4. Implement role-playing dimensions
                - Create model calculations
                • 1. Use DAX: calculated columns, calculated tables, measures
                  • 2. Use CALCULATE and filter context
                    • 3. Implement aggregation and time intelligence
                      Prepare the data25-30%- Get or connect to data
                      • 1. Choose storage modes: Import, DirectQuery, DirectLake
                        • 2. Create and modify parameters
                          • 3. Configure data source settings, credentials, and privacy levels
                            • 4. Identify and connect to data sources or shared semantic models
                              - Profile and clean data
                              • 1. Resolve inconsistencies, null values, and errors
                                • 2. Manage data types, columns, and rows
                                  • 3. Evaluate data statistics and column properties
                                    • 4. Transform data using Power Query Editor
                                      - Load and configure data
                                      • 1. Configure data refresh settings
                                        • 2. Integrate data from multiple sources
                                          • 3. Define table structures and properties
                                            Manage and secure Power BI15-20%- Deploy and distribute content
                                            • 1. Embed content in applications or websites
                                              • 2. Share reports, dashboards, and apps
                                                • 3. Monitor usage and performance
                                                  - Implement security and governance
                                                  • 1. Manage permissions and access
                                                    • 2. Apply data sensitivity labels and protection
                                                      • 3. Configure row-level security (RLS) and object-level security
                                                        - Manage workspaces and assets
                                                        • 1. Create and configure workspaces
                                                          • 2. Manage data refresh and scheduled updates
                                                            • 3. Publish, update, and organize reports/datasets
                                                              Visualize and analyze data25-30%- 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. Use AI visuals, forecasts, and key influencers
                                                                        • 3. Create paginated reports
                                                                          - Create reports and dashboards
                                                                          • 1. Apply filters, slicers, and drill-through
                                                                            • 2. Design report layout, formatting, and interactivity
                                                                              • 3. Create dashboards and pinned elements
                                                                                • 4. Choose appropriate visualizations

                                                                                  What Candidates Ask About the Microsoft Power BI Data Analyst

                                                                                  The passing mark for the PL-300 exam is 700 (out of 1000), and the official registration fee is USD 165. One practical note: the fee buys a single attempt — a retake is charged in full again. Protect that spend by rehearsing first: drill 472 practice questions at iPassleader under timed conditions until your scores clear the passing mark with margin, then book.

                                                                                  Registration for the Microsoft Power BI Data Analyst goes through these official channels:

                                                                                  One scheduling detail: the PL-300 exam is delivered Online proctored or onsite at Pearson VUE test centers — plan accordingly when you book.

                                                                                  The PL-300 exam — officially the Microsoft Power BI Data Analyst — is Microsoft's certification test for professionals working with its technologies, and passing it earns the Microsoft Certified: Power BI Data Analyst Associate certification at the Associate level. Because it is vendor-issued and skills-based, employers can compare candidates on it directly — that is what keeps it valuable. It also connects naturally to Microsoft Certified: Data Analyst Associate, Microsoft Certified: Power Platform Associate.

                                                                                  Yes — iPassleader publishes a free PDF demo of the PL-300 practice questions, printable if you prefer paper, so you can evaluate the content and verified answers before paying anything. Once you purchase, 365 days of free updates are included, and if the product expires, the update service renews at a 50% discount from your member zone.

                                                                                  The Microsoft Power BI Data Analyst syllabus spans 4 domains, led by Visualize and analyze data (25-30%), Manage and secure Power BI (15-20%), and Prepare the data (25-30%). The complete weighted outline is in the syllabus section above — it is the map your preparation should follow.

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

                                                                                  Vendor criteria do change, so before scheduling, verify the latest requirements on the official Microsoft exam page.

                                                                                  Microsoft lists these training resources for the Microsoft Power BI Data Analyst:

                                                                                  Formal training teaches the concepts; offline-capable practice makes them available whenever you have a spare ten minutes. Add 472 practice questions from iPassleader to either resource and preparation stops depending on free weekends.

                                                                                  Delivery first: download immediately after payment, with an email copy arriving within one minute. If 2 hours pass with no email, check spam and contact our support team. There is no limit on how many computers you can install the software on.

                                                                                  If you take the PL-300 exam within 60 days of purchase and do not pass, the iPassleader money back guarantee applies: file within 2 days of the exam with a scanned enrollment slip and the official score report (PDF), and the claim is processed within 7 days. The candidate name must match the payer name; the policy excludes exams taken within 3 days of purchase, purchases never used in an actual exam attempt, free materials, and expired orders. If you would rather keep preparing, exchange the product for two free exam packages of equal value and keep the update service on your original purchase.

                                                                                  You will face 40-60 questions within 180 minutes on the PL-300 exam. That ratio makes time management a scored skill, and it is best trained offline where you cannot be distracted: run timed mocks in the iPassleader Windows engine or app, and let the pacing rhythm settle in before exam day.

                                                                                  Microsoft Power BI Data Analyst Sample Questions:

                                                                                  A user creates a Power BI report named ReportA that uses a custom theme You create a dashboard named DashboardA.
                                                                                  You need to ensure that DashboardA uses the custom theme. The solution must minimize development effort.
                                                                                  Which two actions should you perform? Each correct answer presents part of the solution.
                                                                                  NOTE: Each correct selection is worth one point.

                                                                                  • A. From ReportA save the current theme.
                                                                                  • B. From DashboardA upload a JSON theme.
                                                                                  • C. Publish ReportA to the Microsoft Power BI Community theme gallery.
                                                                                  • D. From DashboardA create a custom theme.
                                                                                  • E. Publish ReportA to Power BI.
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: A,B  🗳️

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

                                                                                  You need to create the Top Customers report.
                                                                                  Which type of filter should you use, and at which level should you apply the filter? 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 retained answer area specifies 1) Top N; 2) Visual. Visual selection follows the analytical question: line charts show change over time, bars compare categories, scatter charts expose relationships and outliers, KPIs track progress against a target, and AI visuals explain likely drivers. The technical decision turns on how to create the Top Customers report. The other visual or configuration choices encode a different task, lose the required interaction, or fail one of the stated display constraints. For exam alignment, this is assessed under " Apply slicing and filtering " in the current study guide. The result remains understandable to report consumers and responds correctly to the interaction or filtering behavior described in the question.
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualizations- overview | PL-300 objective: " Apply slicing and filtering " | Study guide: https://learn.microsoft.com/en-us
                                                                                  /credentials/certifications/resources/study-guides/pl-300

                                                                                  You are preparing a financial report in Power BI.
                                                                                  You connect to the data stored in a Microsoft Excel spreadsheet by using Power Query Editor as shown in the following exhibit.

                                                                                  You need to prepare the data to support the following:
                                                                                  Visualizations that include all measures in the data over time
                                                                                  Year-over-year calculations for all the measures
                                                                                  Which four 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.

                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer:


                                                                                  Explanation:
                                                                                  The completed mapping shown in the answer area is correct. The scenario is asking for a way to prepare the data to support the following: Visualizations that include all measures in the data over time Year-over-year calculations for all the measures. Unpivot converts repeated columns into Attribute and Value rows while preserving the identifier columns. This normalizes a wide source so one measure column can be filtered, grouped, and charted consistently. This directly matches the current study-guide objective " Select appropriate column data types " . Pivoting makes a table wider, while unpivoting converts repeated period or category columns into attribute-value rows that visuals can aggregate consistently.
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/unpivot-column | PL-300 objective: " Select appropriate column data types " | Study guide: https://learn.microsoft.com/en-us
                                                                                  /credentials/certifications/resources/study-guides/pl-300

                                                                                  You hove a folder that contains 50 JSON files.
                                                                                  You need to use Power BI Desktop to make the metadata ol the files available as a single semantic model.
                                                                                  The solution must NOT store the data of the JSON files.
                                                                                  Which type of data source should you use. and which transformation should you perform? 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 SharePoint Folder or Folder connector exposes files and metadata so the query can filter to the intended library or path before combining files with a consistent schema. Use the selections preserved in the answer exhibit as the supported configuration. The deciding requirement in this question is to use Power BI Desktop to make the metadata ol the files available as a single semantic model. The solution must NOT store the data of the JSON files. Connecting to a single workbook bypasses the repeatable combine-files pattern and will not automatically include later files placed in the selected location. This rationale is anchored to the PL-300 objective " Convert semi-structured data to a table " .
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/connectors/folder | PL-300 objective: " Convert semi-structured data to a table " | Study guide: https://learn.microsoft.com/en-us
                                                                                  /credentials/certifications/resources/study-guides/pl-300

                                                                                  You create a semantic model sourced from dozens of flat files in Azure Blob storage. The semantic model uses incremental refresh.
                                                                                  From the Power BI service, you deploy the semantic model and several related reports to Microsoft Power BI Premium capacity.
                                                                                  You discover that the semantic model refresh fails after the refresh runs out of resources.
                                                                                  What is a possible cause of the issue?

                                                                                  • A. Query folding is not occurring.
                                                                                  • B. You selected Only refresh complete periods.
                                                                                  • C. The data type of the column used to partition the data changed.
                                                                                  • D. A filter is missing on the report.
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: A  🗳️

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