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

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                                                                                  Microsoft Power BI Data Analyst Sample Questions (Q116-Q121):

                                                                                  NEW QUESTION # 116
                                                                                  Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
                                                                                  After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
                                                                                  You create a parameter named DataSourceExcel that holds the file name and location of a Microsoft Excel data source.
                                                                                  You need to update the query to reference the parameter instead of multiple hard-coded copies of the location within each query definition.
                                                                                  Solution: You create a new query that references DataSourceExcel.
                                                                                  Does this meet the goal?

                                                                                  Answer: A


                                                                                  NEW QUESTION # 117
                                                                                  You have the Power Bl data model shown in the following exhibit.
                                                                                  You create two row-level security (RlS) roles named Manager and CFO.
                                                                                  You plan to publish the dataset to the Power Bl service.
                                                                                  You need to create DAX expressions for the RLS filters. The solution must meet the following requirements:
                                                                                  * Each manager must see only the data in the Sales and Human Resources tables for their own country.
                                                                                  * The CFO must be prevented from seeing the data in the Human Resources table.
                                                                                  * The CFO must see the sales data of all countries.
                                                                                  How should you complete the DAX expressions to meet the requirements? To answer, drag the appropriate expressions to the correct targets. Each expression 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.

                                                                                  The Country table contains the following data.

                                                                                  You plan to publish the dataset to the Power Bl service.
                                                                                  You need to create DAX expressions for the RLS filters. The solution must meet the following requirements:
                                                                                  * Each manager must see only the data in the Sales and Human Resources tables for their own country.
                                                                                  * The CFO must be prevented from seeing the data in the Human Resources table.
                                                                                  * The CFO must see the sales data of all countries.
                                                                                  How should you complete the DAX expressions to meet the requirements? To answer, drag the appropriate expressions to the correct targets. Each expression 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:


                                                                                  NEW QUESTION # 118
                                                                                  You have two Azure SQL databases that contain the same tables and columns.
                                                                                  For each database, you create a query that retrieves data from a table named Customers.
                                                                                  You need to combine the Customer tables into a single table. The solution must minimize the size of the data model and support scheduled refresh in powerbi.com.
                                                                                  What should you do? To answer, select the appropriate options in the answer area.
                                                                                  NOTE: Each correct selection is worth one point.

                                                                                  Answer:

                                                                                  Explanation:

                                                                                  Reference:
                                                                                  https://docs.microsoft.com/en-us/power-query/append-queries
                                                                                  https://community.powerbi.com/t5/Power-Query/Append-vs-Append-as-new-for-performance/td-p/1822710


                                                                                  NEW QUESTION # 119
                                                                                  Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
                                                                                  After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
                                                                                  You have a data source that contains a column. The column contains case sensitive data.
                                                                                  You have a Power BI semantic model in DirectQuery mode.
                                                                                  You connect to the model and discover that it contains undefined values and errors.
                                                                                  You need to resolve the issue.
                                                                                  Solution: You normalize casing in the source query or Power Query Editor.
                                                                                  Does this meet the goal?

                                                                                  Answer: A


                                                                                  NEW QUESTION # 120
                                                                                  You import two Microsoft Excel tables named Customer and Address into Power Query Customer contains the following columns:
                                                                                  * Customer ID
                                                                                  * Customer Name
                                                                                  * Phone
                                                                                  * Email Address
                                                                                  * Address ID
                                                                                  Address contains the following columns:
                                                                                  * Address ID
                                                                                  * Address Line 1
                                                                                  * Address Line 2
                                                                                  * City
                                                                                  * State/Region
                                                                                  * Country
                                                                                  * Postal Code
                                                                                  Each Customer ID represents a unique customer m the Customer table. Each Address ID represents a unique address m the Address table. You need to create a query that has one row per customer. Each row must contain City. State/Region, and Country for each customer. What should you do?

                                                                                  Answer: B


                                                                                  NEW QUESTION # 121
                                                                                  ......

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