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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q292-Q297):

NEW QUESTION # 292
You are creating a sales report in Power Bl for the NorthWest region sales territory of your company. Data will come from a view in a Microsoft SQL Server database. A sample of the data is shown in the following table:

The report will facilitate the following analysis:
* The count of orders and the sum of total sales by Order Date
* The count of customers who placed an order
* The average quantity per order
You need to reduce data refresh times and report query times.
Which two actions should you perform? Each correct answer presents part of the solution NOTE: Each correct selection is worth one point.

A. Remove the CustomerKey and ProductKey columns.
B. Fillet the data to only the NorthWest region sales territory.
C. Remove the TaxAmt and Freight columns.
D. Set the data type for SatesOrderNumber to Decimal Number

Answer: B,C

NEW QUESTION # 293
You are creating a Microsoft Power Bl model that has two tables named CityData and Sales. CityData contains only the data shown in the following table.

Sales contains only the data shown in the following table.

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
Text Description automatically generated

Box 1: Yes
The Related function returns a related value from another table.
The RELATED function requires that a relationship exists between the current table and the table with related information. You specify the column that contains the data that you want, and the function follows an existing many-to-one relationship to fetch the value from the specified column in the related table. If a relationship does not exist, you must create a relationship.
Box 2: Yes
Box 3: No
TX only occurs in the Sales table, but not in the CityData table.
Reference:
https://docs.microsoft.com/en-us/dax/related-function-dax
https://docs.microsoft.com/en-us/dax/calculate-function-dax

NEW QUESTION # 294
You have a Power BI semantic model that contains two queries.
You discover that a report based on the model has performance issues.
You plan to use Power Query to reduce the data loaded to the model.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct answer is worth one point.

A. Remove unnecessary columns and rows.
B. Apply group by and summarize techniques.
C. Combine the queries by using Merge.
D. Combine the queries by using Append.
E. Create a new query group.

Answer: A,B

Explanation:
The verified answers are A (Apply group by and summarize techniques); C (Remove unnecessary columns and rows). A merge joins columns from related tables by matching key values. That is the appropriate operation when one output row must contain attributes from both sources; append would stack rows instead.
The scenario establishes that you plan to use Power Query to reduce the data loaded to the model. Append stacks records vertically and therefore cannot bring related attributes onto the same row; that requires a key- based merge. For exam alignment, this is assessed under " Merge and append queries " in the current study guide.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/merge-queries-overview | PL-300 objective: " Merge and append queries " | Study guide: https://learn.microsoft.com/en-us/credentials
/certifications/resources/study-guides/pl-300

NEW QUESTION # 295
You have the dataset shown in the following exhibit.

You need to ensure that the visual shows only the 10 cities that have the highest sales profit.
What should you do?

A. Configure the Sales Profit measure to use the RANKX function.
B. Add a calculated column to the table that uses the TOPN function. In the visual, replace Sales Profit with the calculated column.
C. Add a calculated column to the table that returns the city name if the city is in the top 10, otherwise the calculated column will return "Not in Top 10". In the visual, replace Sales Profit with the calculated column.
D. Add a Top N filter to the visual.

Answer: D

Explanation:
Power BI Top N Filters are useful to display the top performing records, and Bottom N filters are helpful to display the least performing records. For example, we can display top or bottom 10 products by orders or sales.
Note:
1. Select the Column you want to display the Top Sales Profit
2. Then change the Filter Type of that Column to Top N
3. Fill in Top / Bottom number field
4. And lastly drag to the By Value filed your Sales Profit Incorrect Answers:
B: You would need a filter as well.
Reference:
https://www.tutorialgateway.org/power-bi-top-10-filters/

NEW QUESTION # 296
DRAG DROP
You have the line chart shown in the exhibit. (Click the Exhibit tab.)

You need to modify the chart to meet the following requirements:
* Identify months that have order counts above the mean.
* Display the mean monthly order count.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

NEW QUESTION # 297
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