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Microsoft PL-300 Exam Syllabus Topics:

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

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                                                                                  Microsoft Power BI Data Analyst Sample Questions (Q381-Q386):

                                                                                  NEW QUESTION # 381
                                                                                  You are creating an analytics report that will consume data from the tables shown in the following table.

                                                                                  There is a relationship between the tables.
                                                                                  There are no reporting requirements on employeejd and employee_photo.
                                                                                  You need to optimize the data model
                                                                                  What should you configure for employeejd and employee.photo? To answer, select the appropriate options in the answer area.

                                                                                  Answer:

                                                                                  Explanation:

                                                                                  Explanation:

                                                                                  Box 1: Hide
                                                                                  Optimize data by hiding fields and sorting visualization data
                                                                                  Box 2: Delete
                                                                                  The fastest way to optimize your Power BI report is to limit the number of columns to only the ones you need in your data model. Go through your tables in Power Query and determine what fields are being used. Delete these columns if they are not being used in any of your reports or calculations.
                                                                                  Reference:
                                                                                  https://tessellationtech.io/optimizing-power-bi-reports/


                                                                                  NEW QUESTION # 382
                                                                                  You are creating a Power 81 model to analyze inventory.
                                                                                  You load data into three tables named Date Product, and Inventor/. The Inventor/ table relates to the Date and Product tables by using one-to-many relationships.
                                                                                  Inventor)' data is recorded daily with no exceptions. The correct inventory quantity for a given product in a month is the last recorded value for that month You need to write a DAX measure that will show the correct inventory value when a user analyzes inventory by year, month, or date.
                                                                                  How should you complete the measure? To answer select the appropriate options in the answer area.
                                                                                  NOTE: Each correct selection is worth one point

                                                                                  Answer:

                                                                                  Explanation:

                                                                                  Explanation:


                                                                                  NEW QUESTION # 383
                                                                                  You merge data from Sales.Region, Region_Manager, Sales_Manager, and Manager into a single table named Region. What should you do next to meet the reporting requirements of the executives?

                                                                                  Answer: C

                                                                                  Explanation:
                                                                                  Overview
                                                                                  This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
                                                                                  To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
                                                                                  At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.


                                                                                  NEW QUESTION # 384
                                                                                  You have a report that includes a card visualization.
                                                                                  You need to apply the following conditional formatting to the card while minimizing design effort.
                                                                                  For values that are greater than or equal to 100, the font of the data label must be dark red.
                                                                                  For values that are less than 100, the font of the data label must be dark gray.
                                                                                  Which type of format should you use?

                                                                                  Answer: C


                                                                                  NEW QUESTION # 385
                                                                                  In Power Query Editor, you have three queries named ProductCategory, ProductSubCategory, and Product.
                                                                                  Every Product has a ProductSubCategory.
                                                                                  Not every ProductsubCategory has a parent ProductCategory.
                                                                                  You need to merge the three queries into a single query. The solution must ensure the best performance in Power Query.
                                                                                  How should you merge the tables? To answer, drag the appropriate merge types to the correct queries. Each merge type 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:


                                                                                  NEW QUESTION # 386
                                                                                  ......

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