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Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Visualize and analyze data25-35%- Create reports and dashboards
  • 1. Design report layouts
    • 2. Create visuals and KPIs
      - Enhance reports for usability
      • 1. Apply filters and slicers
        • 2. Implement drill-through and navigation
          Topic 2: Prepare the data15-20%- Clean, transform, and load data
          • 1. Clean data using Power Query
            • 2. Shape and transform data
              - Get data from data sources
              • 1. Identify and connect to data sources
                • 2. Select storage modes
                  Topic 3: Model the data30-40%- Design a data model
                  • 1. Define relationships and cardinality
                    • 2. Design star schema
                      - Develop a data model
                      • 1. Optimize model performance
                        • 2. Create DAX calculations
                          Topic 4: Deploy and maintain assets15-20%- Manage workspaces and datasets
                          • 1. Configure refresh schedules
                            • 2. Publish and manage datasets
                              - Secure and monitor Power BI
                              • 1. Implement row-level security
                                • 2. Monitor usage and performance

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                                  Microsoft Power BI Data Analyst Sample Questions (Q360-Q365):

                                  NEW QUESTION # 360
                                  You need to create a DAX measure in the data model that only allows users to see projections at the appropriate levels of granularity.
                                  How should you complete the measure? To answer, drag the appropriate values to the correct targets. Each value 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:

                                  Reference:
                                  https://docs.microsoft.com/en-us/dax/isfiltered-function-dax


                                  NEW QUESTION # 361
                                  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:
                                  Explanatio n:


                                  NEW QUESTION # 362
                                  You have a Microsoft Power BI report. The size of PBIX file is 550 MB. The report is accessed by using an App workspace in shared capacity of powerbi.com.
                                  The report uses an imported dataset that contains one fact table. The fact table contains 12 million rows. The dataset is scheduled to refresh twice a day at 08:00 and 17:00.
                                  The report is a single page that contains 15 AppSource visuals and 10 default visuals.
                                  Users say that the report is slow to load the visuals when they access and interact with the report.
                                  You need to recommend a solution to improve the performance of the report.
                                  What should you recommend?

                                  Answer: A

                                  Explanation:
                                  DirectQuery: No data is imported or copied into Power BI Desktop.
                                  Import: The selected tables and columns are imported into Power BI Desktop. As you create or interact with a visualization, Power BI Desktop uses the imported data.
                                  Benefits of using DirectQuery
                                  There are a few benefits to using DirectQuery:
                                  DirectQuery lets you build visualizations over very large datasets, where it would otherwise be unfeasible to first import all the data with pre-aggregation.
                                  Underlying data changes can require a refresh of data. For some reports, the need to display current data can require large data transfers, making reimporting data unfeasible. By contrast, DirectQuery reports always use current data.
                                  The 1-GB dataset limitation doesn't apply to DirectQuery.
                                  Reference:
                                  https://docs.microsoft.com/en-us/power-bi/connect-data/desktop-use-directquery


                                  NEW QUESTION # 363
                                  You need to create a relationship in the dataset for RLS.
                                  What should you do? To answer select the appropriate options in the answer area.
                                  NOTE: Each correct selection is worth one point.

                                  Answer:

                                  Explanation:


                                  NEW QUESTION # 364
                                  You have a Power BI report that contains a page. The page contains the following:
                                  - A shape named Shape1
                                  - A card named Sales Summary
                                  - A clustered bar chart named Sales by Region
                                  You need to ensure that Sales Summary renders on top of Shape1.
                                  What should you modify?

                                  Answer: B


                                  NEW QUESTION # 365
                                  ......

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