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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q258-Q263):

NEW QUESTION # 258
You plan to use Power BI Desktop optimized for Power BI Report Server to create a report. The report will be published to Power BI Report Server.
You need to ensure that all the visualization in the report can be consumed by users.
Which three types of visualizations should you include in the report? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. bubble maps
B. breadcrumbs
C. funnel charts
D. custom visuals
E. R visuals

Answer: A,C,D

Explanation:
https://docs.microsoft.com/en-us/power-bi/report-server/install-powerbi-desktop

NEW QUESTION # 259
You have the following table named Location.

The GeoCode column represents the country where each customer is located.
You create a map visualiz ation as shown in the exhibit. (Click the Exhibit tab.)

You need to ensure that the map displays the country locations.
What should you do?

A. Add a Geoportal column to the Location table.
B. Change the Default Summarization of the GeoCode column.
C. Change the name of the GeoCode column to Country.
D. Replace the values in the GeoCode column with postal codes or zip codes.
E. Change the Data Type of the GeoCode column.
F. Change the name of the Location table to Country.

Answer: C

Explanation:
References:
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-map-tips-and-tricks

NEW QUESTION # 260
You need to create a relationship in the dataset for RLS.
What should you do? To answer select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:
See the answer as below in explanation.
Explanation
Answer as below

NEW QUESTION # 261
Hotspot Question
You have two tables named Customers and Invoice in a Power BI model. The Customers table contains the following fields:
CustomerID
Customer City
Customer State
Customer Name
Customer Address 1
Customer Address 2
Customer Postal Code
The Invoice table contains the following fields:
Order ID
Invoice ID
Invoice Date
Customer ID
Total Amount
Total Item Count
The Customers table is related to the Invoice table through the Customer ID columns. A customer can have many invoices within one month.
The Power BI model must provide the following information:
The number of customers invoiced in each state last month
The average invoice amount per customer in each postal code
You need to define the relationship from the Customers table to the Invoice table. The solution must optimize query performance.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: One-to-many
A customer can have many invoices within one month.
Box 2: Single
For One-to-many relationships, the cross filter direction is always from the "one" side, and optionally from the "many" side (bi-directional). For Single cross filter direction means "single direction", and Both means "both directions". A relationship that filters in both directions is commonly described as bi-directional.
Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-relationships-understand

NEW QUESTION # 262
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 # 263
......

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