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Microsoft PL-300 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Power BI Data Analyst
Exam Number:PL-300
Exam Format:Drag and drop, Performance-based, Simulation, Case studies, Multiple choice (single/multiple response)
Available Languages:Arabic (Saudi Arabia), Indonesian, German, Portuguese (Brazil), Italian, Korean, Japanese, Spanish, French, Chinese (Simplified), Chinese (Traditional), English, Russian
Exam Duration:180 minutes
Real Exam Qty:40-60
Related Certifications:Microsoft Certified: Data Analyst Associate
Microsoft Certified: Power Platform Associate
Exam Price:USD 165
Certificate Validity Period:12 months
Passing Score:700 (out of 1000)
Recommended Training:Microsoft Learn - PL-300 Learning Path
Microsoft Official Course: PL-300T00
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: 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
          - Perform data analysis
          • 1. Create and manage bookmarks and tooltips
            • 2. Implement custom visuals and R/Python scripts
              • 3. Interpret results and identify trends
                - Enhance reports with analytics
                • 1. Use AI visuals, forecasts, and key influencers
                  • 2. Apply conditional formatting and custom visuals
                    • 3. Create paginated reports
                      Topic 2: Prepare the data25-30%- Load and configure data
                      • 1. Integrate data from multiple sources
                        • 2. Configure data refresh settings
                          • 3. Define table structures and properties
                            - Profile and clean data
                            • 1. Manage data types, columns, and rows
                              • 2. Evaluate data statistics and column properties
                                • 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. Create and modify parameters
                                        • 3. Choose storage modes: Import, DirectQuery, DirectLake
                                          • 4. Configure data source settings, credentials, and privacy levels
                                            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. Apply data sensitivity labels and protection
                                                    • 2. Configure row-level security (RLS) and object-level security
                                                      • 3. Manage permissions and access
                                                        - Deploy and distribute content
                                                        • 1. Share reports, dashboards, and apps
                                                          • 2. Embed content in applications or websites
                                                            • 3. Monitor usage and performance
                                                              Topic 4: Model the data25-30%- Design data models
                                                              • 1. Create common date tables
                                                                • 2. Implement role-playing dimensions
                                                                  • 3. Create relationships: cardinality, cross-filter direction, security
                                                                    • 4. Define tables, columns, and hierarchies
                                                                      - Create model calculations
                                                                      • 1. Use CALCULATE and filter context
                                                                        • 2. Implement aggregation and time intelligence
                                                                          • 3. Use DAX: calculated columns, calculated tables, measures
                                                                            - Optimize model performance
                                                                            • 1. Reduce cardinality and data size
                                                                              • 2. Use aggregations and composite models
                                                                                • 3. Optimize relationships and calculations

                                                                                  PL-300 Exam Practice FAQ

                                                                                  Memorizing which option is correct works only until the question is reworded. Understanding the concept behind each PL-300 question lets you handle variations with confidence. Take notes as you practice, mark the key points, and your study sessions build real, durable knowledge.

                                                                                  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%)
                                                                                  • Prepare the data (25-30%)

                                                                                  Questions across these topics span a range of difficulty levels, so both newer and experienced candidates find appropriate challenges.

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

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

                                                                                  The Microsoft Power BI Data Analyst exam contains 40-60 questions, and you will have 180 minutes minutes to complete them. Practicing within the same limits builds the pacing the real exam demands.

                                                                                  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.

                                                                                  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.

                                                                                  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. Because the fee is significant, preparing thoroughly the first time is the practical choice.

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                                                                                  Microsoft Power BI Data Analyst Sample Questions:

                                                                                  You have a Power BI semantic model that contains quarterly sales performance data.
                                                                                  You need to enable managers to review the data in a format that meets the following requirements:
                                                                                  ; Is optimized for printing.
                                                                                  ; Renders data in Microsoft Excel, Word, PowerPoint, and PDF formats.
                                                                                  What should you create?

                                                                                  • A. a dashboard
                                                                                  • B. a paginated report
                                                                                  • C. a template app
                                                                                  • D. an interactive report
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: B  🗳️

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

                                                                                  You receive annual sales data that must be included in Power BI reports.
                                                                                  From Power Query Editor, you connect to the Microsoft Excel source shown in the following exhibit.

                                                                                  You need to create a report that meets the following requirements:
                                                                                  ; Visualizes the Sales value over a period of years and months
                                                                                  ; Adds a slicer for the month
                                                                                  ; Adds a slicer for the year

                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer:


                                                                                  Explanation:

                                                                                  The selections in the retained answer exhibit are the verified configuration. This is a shaping operation in Power Query. Performing it in the applied steps produces correctly typed, named, and structured columns before loading, which keeps report and model logic focused on analysis. What determines the answer is the need to create a report that meets the following requirements:; Visualizes the Sales value over a period of years and months; Adds a slicer for the month; Adds a slicer for the year. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. For exam alignment, this is assessed under " Create and transform columns " in the current study guide.
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Create and transform columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
                                                                                  /resources/study-guides/pl-300

                                                                                  You need to get data from the Microsoft SQL Server tables. What should you use to configure the connection '

                                                                                  • A. import that uses a Microsoft account
                                                                                  • B. Import that uses a database credential
                                                                                  • C. DirectQuery that uses a database credential
                                                                                  • D. DirectQuery that uses the end-user ' s credentials
                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer: D  🗳️

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

                                                                                  Correct Answer: A,B  🗳️

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

                                                                                  You have a Power BI imported semantic model that contains the 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.

                                                                                  Reveal Solution  Discussion  0

                                                                                  Correct Answer:


                                                                                  Explanation:
                                                                                  Cardinality describes uniqueness on each side of a relationship; cross-filter direction controls how filters travel. Both settings must match the model grain or totals and security filtering can become unreliable. Begin with the scenario statement that you have a power bi imported semantic model that contains the data model shown in the following exhibit. use the drop-down menus to select the answer choice that completes each statement. The retained answer-area mapping contains the correct selections. The relevant current PL-300 study-guide bullet is " Define a relationship ' s cardinality and cross-filter direction " . The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path.
                                                                                  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

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