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Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
Analyze the Data	10-15%	- Work with metrics in Power BI 1. Track goals with scorecards 2. Define and monitor KPIs 3. Create metrics using Microsoft measurements 4. Use the Decomposition Tree visual - Perform analysis in Power BI 1. Use the Q&A visual 2. Configure auto-insights 3. Generate Pinn visual insights 4. Identify patterns and trends 5. Apply Quick Insights
Manage and Maintain Workspace Items	10-15%	- Manage datasets 1. Resolve dataset permission issues 2. Manage dataset refresh scheduling 3. Manage gateways and data sources 4. Configure dataset metadata and properties - Create and manage workspaces 1. Publish and update a Power BI app 2. Configure content certification 3. Endorse sensitive content with sensitivity labels 4. Configure workspace membership and roles
Visualize the Data	25-30%	- Build visuals 1. Configure data colors and shapes 2. Apply AI insights and enhanced analytics 3. Format and configure pages and report backgrounds 4. Apply sorting and filtering to visuals 5. Determine the appropriate visual type 6. Configure visual interactions and cross-filtering - Enhance reports for user experience 1. Add accessibility features and compliance 2. Add tooltips and navigation 3. Design for mobile and specific layouts 4. Apply artistic formatting to visuals - Enrich reports with advanced visuals 1. Integrate Microsoft Copilot for Power BI 2. Use dynamic page navigation 3. Configure R and Python visuals 4. Create custom visuals
Prepare the Data	10-15%	- Clean, transform, and load the data 1. Apply user-friendly naming conventions to columns and tables 2. Determine proper data types 3. Design and build intermediate tables 4. Profile the data 5. Identify the data structure 6. Configure data loading and queries 7. Resolve data quality issues - Get data from various data sources 1. Select a shared dataset or create a local copy 2. Use Microsoft Fabric and OneLake 3. Change data source settings 4. Configure dataset refresh 5. Choose between DirectQuery, Import, and Dual storage modes 6. Identify and connect to a data source
Model the Data	25-30%	- Create measures and DAX calculations 1. Implement context transition 2. Use CALCULATE and FILTER functions 3. Use Time Intelligence functions 4. Write and use basic DAX syntax 5. Create semi-additive measures 6. Create calculated measures - Develop the data model 1. Create common date tables 2. Use the calculation group feature 3. Create calculated tables and columns 4. Configure table relationships 5. Build hierarchies and hierarchical fields 6. Implement row-level security roles - Design a data model 1. Apply field metadata and groupings 2. Design a star schema or snowflake schema 3. Resolve performance issues with relationships 4. Determine the appropriate granularity 5. Define tables and table schemas 6. Implement row-level security - Optimize model performance 1. Optimize Dax queries 2. Configure aggregations 3. Optimize DirectQuery models 4. Improve user experience by hiding objects 5. Validate performance and resolve issues

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Microsoft Power BI Data Analyst Sample Questions (Q397-Q402):

NEW QUESTION # 397
How should you distribute the reports to the board? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 398
You are creating a Power Bi model and report.
You have a single table in a data mode) named Product Product contains the following fields:
* ID
* Name
* Color
* Category
* Total Sales
You need to create a calculated table that shows only the top eight products based on the highest value in Total Sales.
How should you complete the DAX expression? To answer, drag the appropriate values to the coned 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.

Answer:

Explanation:

NEW QUESTION # 399
You have a Microsoft Excel file in a Microsoft OneDrive folder.
The file must be imported to a Power Bi dataset
You need to ensure that the dataset can be refreshed in powefbi.com.
Which two connectors can you use to connect to the file? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Web
B. Excel Workbook
C. Text/CSV
D. SharePoint folder
E. Folder

Answer: A,D

Explanation:
We can import an excel file from multiple connectors (excel workbook, folder, web, sharepoint) but if we must refresh the data from the service with no gateways then We must use web and sharepoint connectors.
https://learn.microsoft.com/en-us/power-bi/connect-data/desktop-use-onedrive-business-links

NEW QUESTION # 400
You have a Microsoft Power BI data model that contains three tables named Sales, Product, and Date.
The Sales table has an existing measure named [Total Sales] that sums the total sales from the Sales table.
You need to write a calculation that returns the percentage of total sales that a selected ProductCategoryName value represents. The calculation must respect any slicers on ProductCategoryName and must show the percentage of visible total sales. For example, if there are four ProductCategoryName values, and a user filters one out, a table showing ProductCategoryName and the calculation must sum up to 100 percent.
How should you complete the calculation? 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/allselected-function-dax

NEW QUESTION # 401
You need to create relationships to meet the reporting requirements of the customer service department.
What should you create?

A. an additional date table named ShipDate, a one-to-many relationship from Sales[sales_date_id] to Date[date_id], and a one-to-many relationship from Sales[sales_ship_date_id] to ShipDate[date_id]
B. a one-to-many relationship from Date[date_id] to Sales[sales_date_id] and another one-to-many relationship from Date[date_id] to Sales[sales_ship_date_id]
C. a one-to-many relationship from Date[date_id] to Sales[sales_date_id] and another one-to-many relationship from Date[date_id] to Weekly_Returns[week_id]
D. an additional date table named ShipDate, a many-to-many relationship from Sales[sales_date_id] to Date[date_id], and a many-to-many relationship from Sales[sales_ship_date_id] to ShipDate[date_id]
E. a one-to-many relationship from Sales[sales_date_id] to Date[date_id] and a one-to-many relationship from Sales[sales_ship_date_id] to Date[date_id]

Answer: A

NEW QUESTION # 402
......

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