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Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
Manage and secure Power BI	15-20%	- Deploy and distribute content 1. Share reports, dashboards, and apps 2. Monitor usage and performance 3. Embed content in applications or websites - Manage workspaces and assets 1. Manage data refresh and scheduled updates 2. Create and configure workspaces 3. Publish, update, and organize reports/datasets - Implement security and governance 1. Configure row-level security (RLS) and object-level security 2. Manage permissions and access 3. Apply data sensitivity labels and protection
Model the data	25-30%	- Optimize model performance 1. Reduce cardinality and data size 2. Use aggregations and composite models 3. Optimize relationships and calculations - Design data models 1. Create common date tables 2. Implement role-playing dimensions 3. Define tables, columns, and hierarchies 4. Create relationships: cardinality, cross-filter direction, security - Create model calculations 1. Implement aggregation and time intelligence 2. Use DAX: calculated columns, calculated tables, measures 3. Use CALCULATE and filter context
Visualize and analyze data	25-30%	- Enhance reports with analytics 1. Apply conditional formatting and custom visuals 2. Use AI visuals, forecasts, and key influencers 3. Create paginated reports - Create reports and dashboards 1. Choose appropriate visualizations 2. Design report layout, formatting, and interactivity 3. Create dashboards and pinned elements 4. Apply filters, slicers, and drill-through - Perform data analysis 1. Implement custom visuals and R/Python scripts 2. Create and manage bookmarks and tooltips 3. Interpret results and identify trends
Prepare the data	25-30%	- Profile and clean data 1. Resolve inconsistencies, null values, and errors 2. Manage data types, columns, and rows 3. Transform data using Power Query Editor 4. Evaluate data statistics and column properties - 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. Configure data source settings, credentials, and privacy levels 2. Identify and connect to data sources or shared semantic models 3. Choose storage modes: Import, DirectQuery, DirectLake 4. Create and modify parameters

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Microsoft Power BI Data Analyst Sample Questions (Q242-Q247):

NEW QUESTION # 242
You are creating a Power Bi model in Power BI Desktop
You need to create a calculated table named Numbers that will contain all the integers from -100 to 100. How should you complete the DAX calculation? To answer, select the appropriate options in the answer area.
NOTE Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 243
You need to provide a solution to provide the sales managers with the required access.
What should you include in the solution?

A. Create a security role that has a table filter on the Sales_Manager table where username = sales_manager_id.
B. Create a security role that has a table filter on the Region_Manager table where sales_manager_id = UserPrincipalName().
C. Create a security role that has a table filter on the Sales_Manager table where name = UserName().
D. Create a security role that has a table filter on the Sales_Manager table where username = UserName()

Answer: D

Explanation:
https://powerbi.microsoft.com/en-us/blog/using-username-in-dax-with-row-level-security/

NEW QUESTION # 244
You need to create a visual as shown in the following exhibit.

The indicator color for Total Sales will be based on % Growth to Last Year.
The solution must use the existing calculations only.
How should you configure the visual? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/power-bi/create-reports/desktop-conditional-table-formatting

NEW QUESTION # 245
You use Power Query Editor to Import three tables named Customers. Address, and Country.
In the source syste m, not every customer has a related address, but every address has a related country.
You need to merge all the tables into a single query. The solution must optimise query refresh performance.
Which type of join should you use for each merge operation? To answer, drag the appropriate join types to the correct operations. Each join type 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 it worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 246
You have a sales system that contains the tables shown in the following table.

The Date table is marked as a date table.
DatelD is the date data type. You need to create an annual sales growth percentage measure.
Which DAX expression should you use?

A. CALCULATE(SUM(sales[sales_amount]), SAMEPERIODLASTYEAR('Date'[DateID]))
B. SUM(sales[sales_amount]) - CALCULATE(SUM(sales[sales_amount]), SAMEPERIODLASTYEAR ('Date'[DateID])
C. (SUM('Sales'[sales_amount]) - CALCULATE(SUM('Sales'[sales_amount]),
SAMEPERIODLASTYEAR('Date'[DateID])))
/ CALCULATE(SUM('Sales'[sales_amount]), SAMEPERIODLASTYEAR('Date'[DateID]))
D. CALCULATE(SUM(sales[sales_amount]), DATESYTD('Date'[DateID]))

Answer: C

Explanation:
SAMEPERIODLASTYEAR returns a table that contains a column of dates shifted one year back in time from the dates in the specified dates column, in the current context.
Reference:
https://docs.microsoft.com/en-us/dax/sameperiodlastyear-function-dax

NEW QUESTION # 247
......

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