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Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
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. Use aggregations and composite models
            • 3. Optimize relationships and calculations
              - Design data models
              • 1. Create common date tables
                • 2. Define tables, columns, and hierarchies
                  • 3. Create relationships: cardinality, cross-filter direction, security
                    • 4. Implement role-playing dimensions
                      Visualize and analyze data25-30%- Enhance reports with analytics
                      • 1. Use AI visuals, forecasts, and key influencers
                        • 2. Apply conditional formatting and custom visuals
                          • 3. Create paginated reports
                            - Create reports and dashboards
                            • 1. Apply filters, slicers, and drill-through
                              • 2. Create dashboards and pinned elements
                                • 3. Design report layout, formatting, and interactivity
                                  • 4. Choose appropriate visualizations
                                    - Perform data analysis
                                    • 1. Implement custom visuals and R/Python scripts
                                      • 2. Interpret results and identify trends
                                        • 3. Create and manage bookmarks and tooltips
                                          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. Configure data source settings, credentials, and privacy levels
                                                • 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
                                                          - Load and configure data
                                                          • 1. Define table structures and properties
                                                            • 2. Configure data refresh settings
                                                              • 3. Integrate data from multiple sources
                                                                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
                                                                      - Manage workspaces and assets
                                                                      • 1. Manage data refresh and scheduled updates
                                                                        • 2. Publish, update, and organize reports/datasets
                                                                          • 3. Create and configure workspaces
                                                                            - 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

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                                                                                  Microsoft Power BI Data Analyst Sample Questions (Q244-Q249):

                                                                                  NEW QUESTION # 244
                                                                                  You build a report to help the sales team understand its performance and the drivers of sales. The team needs to have a single visualization to identify which factors affect success. Which type of visualization should you use?

                                                                                  Answer: D

                                                                                  Explanation:
                                                                                  The relevant context is that you build a report to help the sales team understand its performance and the drivers of sales. the team needs to have a single visualization to identify which factors affect success. 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 verified answer is A (Key influences). The other visual or configuration choices encode a different task, lose the required interaction, or fail one of the stated display constraints. Microsoft lists this skill in the current PL-300 outline as " Use AI visuals " .
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualizations- overview | PL-300 objective: " Use AI visuals " | Study guide: https://learn.microsoft.com/en-us/credentials
                                                                                  /certifications/resources/study-guides/pl-300


                                                                                  NEW QUESTION # 245
                                                                                  You have an API that returns more than 100 columns. The following is a sample of column names.
                                                                                  * client_notified_timestamp
                                                                                  * client_notified_source
                                                                                  * client_notified_sourceid
                                                                                  * client_notified_value
                                                                                  * client_responded_timestamp
                                                                                  * client_responded_source
                                                                                  * client_responded_sourceid
                                                                                  * client_responded_value
                                                                                  You plan to include only a subset of the returned columns.
                                                                                  You need to remove any columns that have a suffix of sourceid.
                                                                                  How should you complete the Power Query M code? To answer, select the appropriate options in the answer area.
                                                                                  NOTE: Each correct selection is worth one point.

                                                                                  Answer:

                                                                                  Explanation:

                                                                                  Explanation:
                                                                                  Box 1: Table.RemoveColumns
                                                                                  When you do "Remove Columns" Power Query uses the Table.RemoveColumns function Box 2: List.Select Get a list of columns.
                                                                                  Box 3: Text.EndsWith


                                                                                  NEW QUESTION # 246
                                                                                  You need to design the data model and the relationships for the Customer Details worksheet and the Orders table by using Power BI. The solution must meet the report requirements.
                                                                                  For each of the following statement, select Yes if the statement is true, Otherwise, select No.
                                                                                  NOTE: Each correct selection is worth one point.

                                                                                  Answer:

                                                                                  Explanation:

                                                                                  Explanation:


                                                                                  NEW QUESTION # 247
                                                                                  You have five sales regions. Each region is assigned a single salesperson.
                                                                                  You have an imported dataset that has a dynamic row-level security (RLS) role named Sales. The Sales role filters sales transaction data by salesperson.
                                                                                  Salespeople must see only the data from their region.
                                                                                  You publish the dataset to powerbi.com, set RLS role membership, and distribute the dataset and related reports to the salespeople.
                                                                                  A salesperson reports that she believes she should see more data.
                                                                                  You need to verify what data the salesperson currently sees.
                                                                                  What should you do?

                                                                                  Answer: C

                                                                                  Explanation:
                                                                                  Validate the roles within Power BI Desktop
                                                                                  * After you've created your roles, test the results of the roles within Power BI Desktop.From the Modeling tab, select View as.
                                                                                  The View as roles window appears, where you see the roles you've created.


                                                                                  * Select a role you created, and then select OK to apply that role.The report renders the data relevant for that role.
                                                                                  * You can also select Other user and supply a given user.
                                                                                  * Select OK.The report renders based on what that user can see.
                                                                                  Reference:
                                                                                  https://docs.microsoft.com/en-us/power-bi/admin/service-admin-rls


                                                                                  NEW QUESTION # 248
                                                                                  You a-e using Power BI Desktop 10 profile data in Power Query Editor.
                                                                                  You need to review the percentage of errors and the maximum value of each column.
                                                                                  Which options should you use in Power Query Editor? To answer, drag the appropriate options to the correct requirements. Each option may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
                                                                                  NOTE: Each correct selection is worth one point.

                                                                                  Answer:

                                                                                  Explanation:

                                                                                  Explanation:

                                                                                  What determines the answer is the need to review the percentage of errors and the maximum value of each column. 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. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. The current PL-300 study guide places this under the objective " Evaluate data, including data statistics and column properties " .
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Evaluate data, including data statistics and column properties " | Study guide: https://learn.microsoft.com/en- us/credentials/certifications/resources/study-guides/pl-300


                                                                                  NEW QUESTION # 249
                                                                                  ......

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