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Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
Manage and secure Power BI15-20%- Deploy and distribute content
  • 1. Share reports, dashboards, and apps
    • 2. Embed content in applications or websites
      • 3. Monitor usage and performance
        - 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
              - Manage workspaces and assets
              • 1. Manage data refresh and scheduled updates
                • 2. Create and configure workspaces
                  • 3. Publish, update, and organize reports/datasets
                    Prepare the data25-30%- Load and configure data
                    • 1. Define table structures and properties
                      • 2. Integrate data from multiple sources
                        • 3. Configure data refresh settings
                          - Get or connect to data
                          • 1. Create and modify parameters
                            • 2. Configure data source settings, credentials, and privacy levels
                              • 3. Choose storage modes: Import, DirectQuery, DirectLake
                                • 4. Identify and connect to data sources or shared semantic models
                                  - Profile and clean data
                                  • 1. Resolve inconsistencies, null values, and errors
                                    • 2. Manage data types, columns, and rows
                                      • 3. Evaluate data statistics and column properties
                                        • 4. Transform data using Power Query Editor
                                          Visualize and analyze data25-30%- Create reports and dashboards
                                          • 1. Apply filters, slicers, and drill-through
                                            • 2. Design report layout, formatting, and interactivity
                                              • 3. Create dashboards and pinned elements
                                                • 4. Choose appropriate visualizations
                                                  - Enhance reports with analytics
                                                  • 1. Apply conditional formatting and custom visuals
                                                    • 2. Use AI visuals, forecasts, and key influencers
                                                      • 3. Create paginated reports
                                                        - Perform data analysis
                                                        • 1. Implement custom visuals and R/Python scripts
                                                          • 2. Interpret results and identify trends
                                                            • 3. Create and manage bookmarks and tooltips
                                                              Model the data25-30%- Optimize model performance
                                                              • 1. Use aggregations and composite models
                                                                • 2. Reduce cardinality and data size
                                                                  • 3. Optimize relationships and calculations
                                                                    - Create model calculations
                                                                    • 1. Use CALCULATE and filter context
                                                                      • 2. Use DAX: calculated columns, calculated tables, measures
                                                                        • 3. Implement aggregation and time intelligence
                                                                          - Design data models
                                                                          • 1. Create common date tables
                                                                            • 2. Create relationships: cardinality, cross-filter direction, security
                                                                              • 3. Define tables, columns, and hierarchies
                                                                                • 4. Implement role-playing dimensions

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                                                                                  Microsoft Power BI Data Analyst Sample Questions (Q388-Q393):

                                                                                  NEW QUESTION # 388
                                                                                  You need to grant access to the business unit analysts.
                                                                                  What should you configure? To answer, select the appropriate options in the answer area.
                                                                                  NOTE: Each correct selection is worth one point.

                                                                                  Answer:

                                                                                  Explanation:

                                                                                  Reference:
                                                                                  https://www.nickyvv.com/2019/08/the-new-power-bi-workspace-viewer-role-explained.html
                                                                                  Topic 3, Northwind Traders
                                                                                  Existing Environment
                                                                                  Data Sources
                                                                                  Northwind Traders uses the data sources shown in the following table.

                                                                                  Source2 is exported daily from a third-party system and stored in Microsoft SharePoint Online.
                                                                                  Existing Environment. Customer Worksheet
                                                                                  Source2 contains a single worksheet named Customer Details. The first 11 rows of the worksheet are shown in the following table.

                                                                                  All the fields in Source2 are mandatory.
                                                                                  The Address column in Customer Details is the billing address, which can differ from the shipping address.
                                                                                  Existing Environment. Azure SQL Database
                                                                                  Source1 contains the following table:
                                                                                  Orders
                                                                                  Products
                                                                                  Suppliers
                                                                                  Categories
                                                                                  Order Details
                                                                                  Sales Employees
                                                                                  The Orders table contains the following columns.

                                                                                  The Order Details table contains the following columns.

                                                                                  The address in the Orders table is the shipping address, which can differ from the billing address.
                                                                                  The Products table contains the following columns.

                                                                                  The Categories table contains the following columns.

                                                                                  The Suppliers table contains the following columns.

                                                                                  The Sales Employees table contains the following columns.

                                                                                  Each employee in the Sales Employees table is assigned to one sales region. Multiple employees can be assigned to each region.
                                                                                  Requirements. Report Requirements
                                                                                  Northwind Traders requires the following reports:
                                                                                  Top Products
                                                                                  Top Customers
                                                                                  On-Time Shipping
                                                                                  The Top Customers report will show the top 20 customers based on the highest sales amounts in a selected order month or quarter, product category, and sales region.
                                                                                  The Top Products report will show the top 20 products based on the highest sales amounts sold in a selected order month or quarter, sales region, and product category. The report must also show which suppliers provide the top products.
                                                                                  The On-Time Shipping report will show the following metrics for a selected shipping month or quarter:
                                                                                  The percentage of orders that were shipped late by country and shipping region Customers that had multiple late shipments during the last quarter Northwind Traders defines late orders as those shipped after the required shipping date.
                                                                                  The warehouse shipping department must be notified if the percentage of late orders within the current month exceeds 5%.
                                                                                  The reports must show historical data for the current calendar year and the last three calendar years.
                                                                                  Requirements. Technical Requirements
                                                                                  Northwind Traders identifies the following technical requirements:
                                                                                  A single dataset must support all three reports.
                                                                                  The reports must be stored in a single Power BI workspace.
                                                                                  Report data must be current as of 7 AM Pacific Time each day.
                                                                                  The reports must provide fast response times when users interact with a visualization.
                                                                                  The data model must minimize the size of the dataset as much as possible, while meeting the report requirements and the technical requirements.
                                                                                  Requirements. Security Requirements
                                                                                  Access to the reports must be granted to Azure Active Directory (Azure AD) security groups only. An Azure AD security group exists for each department.
                                                                                  The sales department must be able to perform the following tasks in Power BI:
                                                                                  Create, edit, and delete content in the reports.
                                                                                  Manage permissions for workspaces, datasets, and report.
                                                                                  Publish, unpublish, update, and change the permissions for an app.
                                                                                  Assign Azure AD groups role-based access to the reports workspace.
                                                                                  Users in the sales department must be able to access only the data of the sales region to which they are assigned in the Sales Employees table.
                                                                                  Power BI has the following row-level security (RLS) Table filter DAX expression for the Sales Employees table.
                                                                                  [EmailAddress] = USERNAME()
                                                                                  RLS will be applied only to the sales department users. Users in all other departments must be able to view all the data.


                                                                                  NEW QUESTION # 389
                                                                                  You need to provide a user with the ability to add members to a workspace. The solution must use the principle of least privilege.
                                                                                  Which role should you assign to the user?

                                                                                  Answer: D

                                                                                  Explanation:
                                                                                  A Member can add members or others with lower permissions.
                                                                                  Note:


                                                                                  NEW QUESTION # 390
                                                                                  Hotspot Question
                                                                                  You have the Power BI data model shown in the following exhibit.

                                                                                  You need to create a measure to count the number of product categories that had products sold during a selected period.
                                                                                  How should you complete the DAX expression? To answer, select the appropriate options in the answer area.
                                                                                  NOTE: Each correct selection is worth one point.

                                                                                  Answer:

                                                                                  Explanation:

                                                                                  Explanation:
                                                                                  We would need to evaluate the distinct count of PRODUCT CATEGORIES (not products) based on the filter context provided by the Sales table.
                                                                                  The reason we're not using the Date table as the filter expression in the CALCULATE function to count the number of product categories sold is that the Date table doesn't directly contain any information about the product categories.


                                                                                  NEW QUESTION # 391
                                                                                  You are creating a Microsoft Power BI imported data model to perform basket analysis. The goal of the analysis is to identify which products are usually bought together in the same transaction across and within sales territories.
                                                                                  You import a fact table named Sales as shown in the exhibit.

                                                                                  The related dimension tables are imported into the model.
                                                                                  For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                                                                                  NOTE: Each correct selection is worth one point.

                                                                                  Answer:

                                                                                  Explanation:

                                                                                  Explanation:

                                                                                  A star schema separates descriptive dimensions from event-level facts. Keeping the fact grain and relationship keys aligned supports correct aggregation and generally produces simpler, more efficient report queries.
                                                                                  Begin with the scenario statement that the goal of the analysis is to identify which products are usually bought together in the same transaction across and within sales territories. The retained answer-area mapping contains the correct selections. The relevant current PL-300 study-guide bullet is " Create fact tables and dimension tables " . Combining descriptive attributes and transactions at mixed grains makes keys and aggregation less predictable than a dimension-to-fact star design. It also preserves predictable filter context and aggregation behavior when the result is used by several visuals or report pages.
                                                                                  Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/guidance/star-schema | PL-300 objective: " Create fact tables and dimension tables " | Study guide: https://learn.microsoft.com/en-us
                                                                                  /credentials/certifications/resources/study-guides/pl-300


                                                                                  NEW QUESTION # 392
                                                                                  You need to create relationships to meet the reporting requirements of the customer service department.
                                                                                  What should you create?

                                                                                  Answer: D

                                                                                  Explanation:
                                                                                  Scenario: The customer service department requires a visual that can be filtered by both sales month and ship month independently.
                                                                                  Reference:
                                                                                  https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-relationships-understand


                                                                                  NEW QUESTION # 393
                                                                                  ......

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