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Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
Model the Data25-30%- Develop the data model
  • 1. Build hierarchies and hierarchical fields
  • 2. Configure table relationships
  • 3. Implement row-level security roles
  • 4. Use the calculation group feature
  • 5. Create calculated tables and columns
  • 6. Create common date tables
- Optimize model performance
  • 1. Validate performance and resolve issues
  • 2. Optimize DirectQuery models
  • 3. Optimize Dax queries
  • 4. Configure aggregations
  • 5. Improve user experience by hiding objects
- Design a data model
  • 1. Implement row-level security
  • 2. Design a star schema or snowflake schema
  • 3. Define tables and table schemas
  • 4. Apply field metadata and groupings
  • 5. Determine the appropriate granularity
  • 6. Resolve performance issues with relationships
- Create measures and DAX calculations
  • 1. Use Time Intelligence functions
  • 2. Create semi-additive measures
  • 3. Create calculated measures
  • 4. Write and use basic DAX syntax
  • 5. Implement context transition
  • 6. Use CALCULATE and FILTER functions
Prepare the Data10-15%- Get data from various data sources
  • 1. Change data source settings
  • 2. Configure dataset refresh
  • 3. Select a shared dataset or create a local copy
  • 4. Use Microsoft Fabric and OneLake
  • 5. Choose between DirectQuery, Import, and Dual storage modes
  • 6. Identify and connect to a data source
- Clean, transform, and load the data
  • 1. Configure data loading and queries
  • 2. Design and build intermediate tables
  • 3. Profile the data
  • 4. Apply user-friendly naming conventions to columns and tables
  • 5. Determine proper data types
  • 6. Resolve data quality issues
  • 7. Identify the data structure
Visualize the Data25-30%- Enrich reports with advanced visuals
  • 1. Create custom visuals
  • 2. Integrate Microsoft Copilot for Power BI
  • 3. Configure R and Python visuals
  • 4. Use dynamic page navigation
- Build visuals
  • 1. Determine the appropriate visual type
  • 2. Configure visual interactions and cross-filtering
  • 3. Format and configure pages and report backgrounds
  • 4. Configure data colors and shapes
  • 5. Apply sorting and filtering to visuals
  • 6. Apply AI insights and enhanced analytics
- Enhance reports for user experience
  • 1. Design for mobile and specific layouts
  • 2. Add accessibility features and compliance
  • 3. Apply artistic formatting to visuals
  • 4. Add tooltips and navigation
Manage and Maintain Workspace Items10-15%- Create and manage workspaces
  • 1. Publish and update a Power BI app
  • 2. Configure workspace membership and roles
  • 3. Endorse sensitive content with sensitivity labels
  • 4. Configure content certification
- Manage datasets
  • 1. Resolve dataset permission issues
  • 2. Configure dataset metadata and properties
  • 3. Manage dataset refresh scheduling
  • 4. Manage gateways and data sources
Analyze the Data10-15%- Work with metrics in Power BI
  • 1. Use the Decomposition Tree visual
  • 2. Track goals with scorecards
  • 3. Create metrics using Microsoft measurements
  • 4. Define and monitor KPIs
- Perform analysis in Power BI
  • 1. Generate Pinn visual insights
  • 2. Configure auto-insights
  • 3. Identify patterns and trends
  • 4. Use the Q&A visual
  • 5. Apply Quick Insights

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Microsoft Power BI Data Analyst Sample Questions (Q232-Q237):

NEW QUESTION # 232
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are modeling data by using Microsoft Power Bl. Part of the data model is a large Microsoft SQL Server table named Order that has more than 100 million records.
During the development process, you need to import a sample of the data from the Order table.
Solution: You add a report-level filter that filters based on the order date.
Does this meet the goal?

Answer: A

Explanation:
Explanation
The filter is applied after the data is imported.
Instead add a WHERE clause to the SQL statement.
Reference:
https://docs.microsoft.com/en-us/power-bi/connect-data/service-gateway-sql-tutorial


NEW QUESTION # 233
Case Study 2 - Contoso Ltd
Overview
Existing Environment
Contoso, Ltd. is a manufacturing company that produces outdoor equipment Contoso has quarterly board meetings for which financial analysts manually prepare Microsoft Excel reports, including profit and loss statements for each of the company's four business units, a company balance sheet, and net income projections for the next quarter.
Data and Sources
Data for the reports comes from three sources. Detailed revenue, cost and expense data comes from an Azure SQL database. Summary balance sheet data comes from Microsoft Dynamics 365 Business Central. The balance sheet data is not related to the profit and loss results, other than they both relate to dates.
Monthly revenue and expense projections for the next quarter come from a Microsoft SharePoint Online list. Quarterly projections relate to the profit and loss results by using the following shared dimensions: date, business unit, department, and product category.
Net Income Projection Data
Net income projection data is stored in a SharePoint Online list named Projections in the format shown in the following table.

Revenue projections are set at the monthly level and summed to show projections for the quarter.
Balance Sheet Data
The balance sheet data is imported with final balances for each account per month in the format shown in the following table.

There is always a row for each account for each month in the balance sheet data.
Dynamics 365 Business Central Data
Business Central contains a product catalog that shows how products roll up to product categories, which roll up to business units. Revenue data is provided at the date and product level. Expense data is provided at the date and department level.
Business Issues
Historically, it has taken two analysts a week to prepare the reports for the quarterly board meetings. Also, there is usually at least one issue each quarter where a value in a report is wrong because of a bad cell reference in an Excel formula. On occasion, there are conflicting results in the reports because the products and departments that roll up to each business unit are not defined consistently.
Planned Changes
Contoso plans to automate and standardize the quarterly reporting process by using Microsoft Power Bl. The company wants to how long it takes to populate reports to less than two days. The company wants to create common logic for business units, products, and departments to be used across all reports, including, but not limited, to the quarterly reporting for the board.
Technical Requirements
Contoso wants the reports and datasets refreshed with minimal manual effort The company wants to provide a single package of reports to the board that contains custom navigation and links to supplementary information.
Maintenance, including manually updating data and access, must be minimized as much as possible.
Security Requirements
The reports must be made available to the board from powerbi.com. A mail-enabled security group will be used to share information with the board.
The analysts responsible for each business unit must see all the data the board sees, except the profit and loss data, which must be restricted to only their business unit's data. The analysts must be able to build new reports from the dataset that contains the profit and loss data, but any reports that the analysts build must not be included in the quarterly reports for the board. The analysts must not be able to share the quarterly reports with anyone.
Report Requirements
You plan to relate the balance sheet to a standard date table in Power Bl in a many-to-one relationship based on the last day of the month. At least one of the balance sheet reports in the quarterly reporting package must show the ending balances for the quarter, as well as for the previous quarter.
Projections must contain a column named RevenueProjection that contains the revenue projection amounts. A relationship must be created from Projections to a table named Date that contains the columns shown in the following table.

The relationships between products and departments to business units must be consistent across all reports.
The board must be able to get the following information from the quarterly reports:
- Revenue trends over time
- Ending balances for each account
- A comparison of expenses versus projections by quarter
- Changes in long-term liabilities from the previous quarter
- A comparison of quarterly revenue versus the same quarter during the
prior year
Hotspot Question
You need to calculate the last day of the month in the balance sheet data to ensure that you can relate the balance sheet data to the Date table.
Which type of calculation and which formula should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: A DAX Calculated measure
Box 2: Date.EndofQuarter(#date([Year],[Mont],1))
ENDOFQUARTER returns the last date of the quarter in the current context for the specified column of dates.
The following sample formula creates a measure that returns the end of the quarter, for the current context.
= ENDOFQUARTER(DateTime[DateKey])
Reference:
https://docs.microsoft.com/en-us/dax/endofquarter-function-dax


NEW QUESTION # 234
You need to create the On-Time Shipping report.
The report must include a visualization that shows the percentage of late orders .
Which type of visualization should you create?

Answer: B


NEW QUESTION # 235
You have five sales regions. Each region is assigned a single salesperson.
You have an imported dataset that has a dynamic row-level security (RLS) role named Sales. The Sales role filters sales transaction data by salesperson.
Salespeople must see only the data from their region.
You publish the dataset to powerbi.com, set RLS role membership, and distribute the dataset and related reports to the salespeople.
A salesperson reports that she believes she should see more data.
You need to verify what data the salesperson currently sees.
What should you do?

Answer: A

Explanation:
Explanation
Validate the roles within Power BI Desktop
* After you've created your roles, test the results of the roles within Power BI Desktop.From the Modeling tab, select View as.
A picture containing application Description automatically generatedThe View as roles window appears, where you see the roles you've created.Graphical user interface, text, application Description automatically generated


* Select a role you created, and then select OK to apply that role.The report renders the data relevant for that role.
* You can also select Other user and supply a given user.Graphical user interface, application Description automatically generated
* Select OK.The report renders based on what that user can see.
Reference:
https://docs.microsoft.com/en-us/power-bi/admin/service-admin-rls


NEW QUESTION # 236
You need to create the required relationship for the executive's visual. What should you do before you can create the relationship?

Answer: B

Explanation:
Scenario: Executives require a visual that shows sales by region.
Need to change the sales_id column from Varchar to Whole Number (Integer).
Topic 1, Litware, Inc.
Existing Environment
Sales Data
Litware has online sales data that has the SQL schema shown in the following table.

In the Date table, the dateid column has a format of yyyymmdd and the month column has a format of yyyymm. The week column in the Date table and the weekid column in the Weekly_Returns table have a format of yyyyww. The regionid column can be managed by only one sales manager.
Data Concerns
You are concerned with the quality and completeness of the sales data. You plan to verify the sales data for negative sales amounts.
Reporting Requirements
Litware identifies the following technical requirements:
* Executives require a visual that shows sales by region.
* Regional managers require a visual to analyze weekly sales and returns.
* Sales managers must be able to see the sales data of their respective region only.
* The sales managers require a visual to analyze sales performance versus sales targets.
* The sale department requires reports that contain the number of sales transactions.
* Users must be able to see the month in reports as shown in the following example: Feb 2020.
* The customer service department requires a visual that can be filtered by both sales month and ship month independently.


NEW QUESTION # 237
......

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