PL-300 New Test Bootcamp | PL-300 Formal Test

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Microsoft PL-300 Exam Syllabus Topics:

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

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                                  Microsoft Power BI Data Analyst Sample Questions (Q391-Q396):

                                  NEW QUESTION # 391
                                  You have a CSV file that contains user complaints. The file contains a column named Logged. Logged contains the date and time each compliant occurred. The data in Logged is in the following format: 2018-12-31 at 08:59.
                                  You need to be able to analyze the complaints by the logged date and use a built-in date hierarchy.
                                  What should you do?

                                  Answer: D


                                  NEW QUESTION # 392
                                  You have a Power BI data model that contains a table named Employees. The table has the following columns:
                                  * Employee Name
                                  * Email Address
                                  * Start Date
                                  * Job Title
                                  You are implementing dynamic row-level security (RLS).
                                  You need to create a table filter to meet the following requirements:
                                  * Users must see only their own employee data
                                  * The DAX expression must work in both Power 81 Desktop and the Power BI service.
                                  Which expression should you use?

                                  Answer: A


                                  NEW QUESTION # 393
                                  You have a table that contains sales data and approximately 1,000 rows.
                                  You need to identify outliers in the table. Which type of visualization should you use?

                                  Answer: A

                                  Explanation:
                                  Explanation
                                  Outliers are those data points that lie outside the overall pattern of distribution & the easiest way to detect outliers is though graphs. Box plots, Scatter plots can help detect them easily.
                                  Reference:
                                  https://towardsdatascience.com/this-article-is-about-identifying-outliers-through-funnel-plots-using-the-microsof


                                  NEW QUESTION # 394
                                  You have the Power BI data model shown in the following exhibit.

                                  Answer:

                                  Explanation:


                                  NEW QUESTION # 395
                                  In Power BI Desktop, you are building a sales report that contains two tables. Both tables have row-level security (RLS) configured.
                                  You need to create a relationship between the tables. The solution must ensure that bidirectional cross- filtering honors the RLS settings.
                                  What should you do?

                                  Answer: B

                                  Explanation:
                                  By default, row-level security filtering uses single-directional filters, whether the relationships are set to single direction or bi-directional. You can manually enable bi-directional cross-filtering with row-level security by selecting the relationship and checking the Apply security filter in both directions checkbox.
                                  Select this option when you've also implemented dynamic row-level security at the server level, where row- level security is based on username or login ID.
                                  Graphical user interface, application, Word Description automatically generated Reference:
                                  https://docs.microsoft.com/en-us/power-bi/admin/service-admin-rls


                                  NEW QUESTION # 396
                                  ......

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