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Microsoft PL-300 Exam Syllabus Topics:

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

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                                  Microsoft Power BI Data Analyst Sample Questions (Q457-Q462):

                                  NEW QUESTION # 457
                                  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: C


                                  NEW QUESTION # 458
                                  You need to create a solution to meet the notification requirements of the warehouse shipping department.
                                  What should you do? To answer, select the appropriate options in the answer area.
                                  NOTE: Each correct select is worth one point:

                                  Answer:

                                  Explanation:

                                  Explanation:


                                  NEW QUESTION # 459
                                  You have the Power BI data model shown in the following exhibit.

                                  The Sales table contains records of sales by day from the last five years up until today's date.
                                  You plan to create a measure to return the total sales of March 2021 when March 2022 is selected.
                                  Which DAX expression should you use?

                                  Answer: D


                                  NEW QUESTION # 460
                                  Drag and Drop Question
                                  You have a Power BI table named Customer that contains a field named Email Address.
                                  You discover that multiple records contain the same email address.
                                  You need to create a calculated column to identify which records have duplicate email addresses.
                                  How should you complete the DAX expression for the calculated column? 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:


                                  NEW QUESTION # 461
                                  You have a Power Bl report named Orders that supports the following analysis:
                                  * Total sales over time
                                  * The count of orders over time
                                  * New and repeat customer counts
                                  The data model size is nearing the limit for a dataset in shared capacity. The model view for the dataset is shown in the following exhibit.

                                  Answer:

                                  Explanation:
                                  Explanation


                                  NEW QUESTION # 462
                                  ......

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