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Microsoft Power BI Data Analyst (PL-300)

By Webmaster Certland English 📝 340 questions ❤️ 0 likes

Practice exam for the Microsoft Power BI Data Analyst Associate (PL-300) certification. Covers data preparation, data modeling, data visualization and analysis, and Power BI management and security.

⭐ Premium Updated Mar 2026

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Sample Questions — Microsoft Power BI Data Analyst (PL-300)

5 free sample questions from this practice exam. Correct answers are highlighted.

1. A data analyst needs to connect Power BI Desktop to a static Excel workbook stored on their local drive. Which data source type should they select in the Get Data dialog?

A Excel Workbook ✓ Correct
B Text/CSV
C SharePoint Folder
D OData Feed

2. A data analyst is setting up a connection to an Azure SQL Database in Power BI Desktop. During the connection setup, Power BI asks them to set a Privacy Level for the data source. Which Privacy Level should be assigned to an Azure SQL Database that contains confidential company financial data?

A Public
B Organizational ✓ Correct
C Private
D None

3. A data analyst connects Power BI to two data sources: an Azure SQL Database (Import mode) and an Azure Analysis Services model (Live Connection). They want to create calculated measures that combine data from both. What connectivity mode supports this scenario?

A Import mode for both sources, loading all data into the Power BI model
B Live Connection mode, which allows adding local Import tables alongside the SSAS model
C Composite model, combining Import mode tables with a Live Connection to Analysis Services ✓ Correct
D DirectQuery mode for both sources, bypassing the need for a composite model

4. A retail company is designing a Power BI data model. The model includes a Sales fact table and separate dimension tables for Products, Customers, and Dates. Which schema pattern does this represent, and what is the primary benefit for Power BI performance?

A Star schema — Power BI's VertiPaq engine is optimized for this pattern, enabling fast compression and query performance ✓ Correct
B Snowflake schema — normalizing dimensions into sub-tables improves Power BI query speed by reducing table sizes
C Galaxy schema — sharing dimension tables between fact tables minimizes data redundancy in Power BI
D Entity-relationship schema — this normalized design gives Power BI the most flexibility for ad hoc analysis

5. A company's Power BI model contains a Sales table and a Products table. The Products table has a ProductID column that is unique, and the Sales table has a ProductID column that can repeat. What is the correct relationship cardinality, and which table should be on the 'one' side?

A One-to-many — Sales is on the 'one' side because it drives the relationship to Products
B One-to-many — Products is on the 'one' side because ProductID is unique there, and Sales is on the 'many' side ✓ Correct
C Many-to-many — both tables need a bridge table to avoid duplicate cross-joins
D One-to-one — both tables share a ProductID column so the relationship must be symmetric

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Information

Questions 340
Time 2h
Difficulty Medium
Minimum Score 70.00%


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Official exam $165.00
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