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Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Visualize and analyze data	25-30%	- Create reports and dashboards 1. Apply filters, slicers, and drill-through 2. Create dashboards and pinned elements 3. Design report layout, formatting, and interactivity 4. Choose appropriate visualizations - 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. Use AI visuals, forecasts, and key influencers 2. Apply conditional formatting and custom visuals 3. Create paginated reports
Topic 2: Manage and secure Power BI	15-20%	- Deploy and distribute content 1. Monitor usage and performance 2. Embed content in applications or websites 3. Share reports, dashboards, and apps - Manage workspaces and assets 1. Publish, update, and organize reports/datasets 2. Create and configure workspaces 3. Manage data refresh and scheduled updates - 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
Topic 3: Model the data	25-30%	- 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 - 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
Topic 4: Prepare the data	25-30%	- Load and configure data 1. Integrate data from multiple sources 2. Define table structures and properties 3. Configure data refresh settings - Get or connect to data 1. Choose storage modes: Import, DirectQuery, DirectLake 2. Identify and connect to data sources or shared semantic models 3. Create and modify parameters 4. Configure data source settings, credentials, and privacy levels - Profile and clean data 1. Resolve inconsistencies, null values, and errors 2. Transform data using Power Query Editor 3. Manage data types, columns, and rows 4. Evaluate data statistics and column properties

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Microsoft Power BI Data Analyst Sample Questions (Q150-Q155):

NEW QUESTION # 150
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 solu 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 create a parameter named DataSourceExcel that holds the file name and location of a Microsoft Excel data source.
You need to update the query to reference the parameter instead of multiple hard-coded copies of the location within each query definition.
Solution: You modify the source step of the queries to use DataSourceExcel as the file path.
Does this meet the goal?

A. Yes
B. No

Answer: A

Explanation:
Explanation
Parameterising a Data Source could be used in many different use cases. From connecting to different data sources defined in Query Parameters to load different combinations of columns.
Reference:
https://www.biinsight.com/power-bi-desktop-query-parameters-part-1/

NEW QUESTION # 151
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. (SUM('Sales'[sales_amount]) - CALCULATE(SUM('Sales'[sales_amount]),
SAMEPERIODLASTYEAR('Date'[DateID])))/ CALCULATE(SUM('Sales'[sales_amount]), SAMEPERIODLASTYEAR('Date'[DateID]))
B. SUM(sales[sales_amount]) - CALCULATE(SUM(sales[sales_amount]), SAMEPERIODLASTYEAR ('Date'[DateID])
C. CALCULATE(SUM(sales[sales_amount]), DATESYTD('Date'[DateID]))
D. CALCULATE(SUM(sales[sales_amount]), SAMEPERIODLASTYEAR('Date'[DateID]))

Answer: A

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 # 152
You need to create a visualization to meet the reporting requirements of the sales managers.
How should you create the visualization? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Scenario: The sales managers require a visual to analyze sales performance versus sales targets.
Box 1: KPI
A Key Performance Indicator (KPI) is a visual cue that communicates the amount of progress made toward a measurable goal.
Box 2: Sales[sales_amount]
Box 3: Date[month]
Time > FiscalMonth. This value will represent the trend.
Box 4: Targets[sales_target]
Reference:
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-kpi

NEW QUESTION # 153
You are enhancing a Power BI model that has DAX calculations.
You need to create a measure that returns the year-to-date total sales from the same date of the previous calendar year.
Which DAX functions should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://www.kasperonbi.com/get-the-ytd-of-the-same-period-last-year/

NEW QUESTION # 154
You have a dataset that contains revenue data from the past year.
You need to use anomaly detection in Power Bl to show anomalies in the dataset.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 155
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