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Microsoft PL-300 Exam Syllabus Topics:

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

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                                                                                  Microsoft PL-300認證題庫,最新PL-300考古題

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                                                                                  最新的 Microsoft Certified: Power BI Data Analyst Associate PL-300 免費考試真題 (Q242-Q247):

                                                                                  問題 #242
                                                                                  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?

                                                                                  答案:A

                                                                                  解題說明:
                                                                                  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


                                                                                  問題 #243
                                                                                  You have an app workspace named Retail Analysis in the Power BI service.
                                                                                  You need manage the members that have access to the app workspace.
                                                                                  What should you do?

                                                                                  答案:B


                                                                                  問題 #244
                                                                                  You need to design the data model to meet the report requirements. What should you do m Power Bl Desktop?

                                                                                  答案:B


                                                                                  問題 #245
                                                                                  Case Study 1 - Litware, Inc.
                                                                                  Overview
                                                                                  Litware, Inc. is an online retailer that uses Microsoft Power Bl dashboards and reports. The company plans to leverage data from Microsoft SQL Server databases, Microsoft Excel files, text files, and several other data sources.
                                                                                  Litware uses Azure Active Directory (Azure AD) to authenticate users.
                                                                                  Existing Environment
                                                                                  Sales Data
                                                                                  Litware has online sales data that has the SQL schema shown in the following table.

                                                                                  In the Date table, the dateid column has a format of yyyymmdd and the month column has a format of yyyymm. The week column in the Date table and the weekid column in the Weekly_Returns table have a format of yyyyww. The regionid column can be managed by only one sales manager.
                                                                                  Data Concerns
                                                                                  You are concerned with the quality and completeness of the sales data. You plan to verify the sales data for negative sales amounts.
                                                                                  Reporting Requirements
                                                                                  Litware identifies the following technical requirements:
                                                                                  - Executives require a visual that shows sales by region.
                                                                                  - Regional managers require a visual to analyze weekly sales and
                                                                                  returns.
                                                                                  - Sales managers must be able to see the sales data of their respective region only.
                                                                                  - The sales managers require a visual to analyze sales performance
                                                                                  versus sales targets.
                                                                                  - The sale department requires reports that contain the number of sales transactions.
                                                                                  - Users must be able to see the month in reports as shown in the
                                                                                  following example: Feb 2020.
                                                                                  - The customer service department requires a visual that can be
                                                                                  filtered by both sales month and ship month independently.
                                                                                  - The maximum allowed latency to include transactions in reports is
                                                                                  five minutes.
                                                                                  You need to create the required relationship for the executive's visual.
                                                                                  What should you do before you can create the relationship?

                                                                                  答案:A

                                                                                  解題說明:
                                                                                  Executives require a visual that shows sales by region.
                                                                                  The data type of Sales[region_id] must be changed from varchar to Whole Number, as Sales[region_id] is Integer.


                                                                                  問題 #246
                                                                                  You need to design the data model to meet the report requirements. What should you do m Power Bl Desktop?

                                                                                  答案:B


                                                                                  問題 #247
                                                                                  ......

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