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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
        - 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. Interpret results and identify trends
                  • 2. Create and manage bookmarks and tooltips
                    • 3. Implement custom visuals and R/Python scripts
                      Topic 2: 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. 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
                                      - Load and configure data
                                      • 1. Configure data refresh settings
                                        • 2. Define table structures and properties
                                          • 3. Integrate data from multiple sources
                                            Topic 3: Manage and secure Power BI15-20%- 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. 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: Model the data25-30%- Design data models
                                                              • 1. Implement role-playing dimensions
                                                                • 2. Create common date tables
                                                                  • 3. Create relationships: cardinality, cross-filter direction, security
                                                                    • 4. Define tables, columns, and hierarchies
                                                                      - Create model calculations
                                                                      • 1. Use DAX: calculated columns, calculated tables, measures
                                                                        • 2. Use CALCULATE and filter context
                                                                          • 3. Implement aggregation and time intelligence
                                                                            - Optimize model performance
                                                                            • 1. Optimize relationships and calculations
                                                                              • 2. Reduce cardinality and data size
                                                                                • 3. Use aggregations and composite models

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                                                                                  PL-300 Exam Guide | PL-300 Top Questions

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                                                                                  Microsoft Power BI Data Analyst Sample Questions (Q453-Q458):

                                                                                  NEW QUESTION # 453
                                                                                  Exhibit:

                                                                                  You need to create a report that meets the requirements:
                                                                                  * Visualizes the Sales value over a period of years and months
                                                                                  * Adds a Slicer for the month
                                                                                  * Adds a Slicer for the year
                                                                                  Which three actions Should you perform in sequence?

                                                                                  Answer:

                                                                                  Explanation:

                                                                                  Explanation:


                                                                                  NEW QUESTION # 454
                                                                                  You have a dataset that is used infrequently and refreshes every hour.
                                                                                  You receive a notification that the refresh was disabled due to inactivity.
                                                                                  Which two actions will cause the scheduled refresh schedule to resume? Each correct answer presents a complete solution.
                                                                                  NOTE: Each correct selection is worth one point.

                                                                                  Answer: B,E

                                                                                  Explanation:
                                                                                  Explanation
                                                                                  After two months of inactivity, scheduled refresh on your dataset is paused. A dataset is considered inactive when no user has visited any dashboard or report built on the dataset. At that time, the dataset owner is sent an email indicating the scheduled refresh is paused. The refresh schedule for the dataset is then displayed as disabled. To resume scheduled refresh, simply revisit any dashboard or report built on the dataset.
                                                                                  https://learn.microsoft.com/en-us/power-bi/connect-data/refresh-scheduled-refresh#scheduled-refresh


                                                                                  NEW QUESTION # 455
                                                                                  You have a query in Power Query Editor that contains the following data.

                                                                                  You need to transform the data to appear as shown in the following table.

                                                                                  What should you do?

                                                                                  Answer: A


                                                                                  NEW QUESTION # 456
                                                                                  You have a report page that contains the visuals 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.

                                                                                  Answer:

                                                                                  Explanation:

                                                                                  Reference:
                                                                                  https://docs.microsoft.com/en-us/power-bi/consumer/end-user-interactions


                                                                                  NEW QUESTION # 457
                                                                                  You plan to create the chart shown in the following exhibit.

                                                                                  How should you create the dashed horizontal line denoting the 40th percentile of daily sales for the period shown?

                                                                                  Answer: D

                                                                                  Explanation:
                                                                                  The analytics feature enables you to show percentiles across groups specified along a specific axis.
                                                                                  Example:
                                                                                  1. Click on the analytics tab
                                                                                  2. Select Percentile
                                                                                  3. You can choose a specific percentile along with other formatting options.
                                                                                  4. Drag a date or non-numeric dimension into the Axis of a column chart


                                                                                  Add percentile lines to monitor daily revenue


                                                                                  NEW QUESTION # 458
                                                                                  ......

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