PL-300 Microsoft Power BI Data Analyst Exam Topics and Questions

These Microsoft Power BI Data Analyst (PL-300) exam topics are organized according to official exam domains to help candidates quickly verify coverage and focus on assessment rather than theory. Each domain is paired with topic-wise PL-300 sample questions that reflect how objectives are tested in the actual exam. This structure enables efficient review, targeted self-assessment, and rapid identification of weak areas when preparing for the Microsoft Power BI Data Analyst certification exam.

Let's Practice Free Microsoft PL-300 Questions Aligned with Official Exam Topics

Follows Microsoft's official outline Updated 10 Sep, 2026 4 Topics

Reviewed by Robert Johnson, Microsoft PL-300 Certified Professional

Topic Content

Design and implement a data model by configuring table and column properties, implementing role-playing dimensions, and defining relationship cardinality and cross-filter direction to establish proper data structure. Create a common date table and identify use cases for calculated columns and calculated tables to support analytical requirements. Build model calculations using DAX by creating single aggregation measures, utilizing the CALCULATE function for complex filtering, and implementing time intelligence measures for temporal analysis. Apply basic statistical functions, create semi-additive measures for specific... See More

Sample Questions for Topic 1 : Model the data

You have a Power B1 report named ReportA.

You have a Power B1 tenant that allows users to export data.

You need to ensure that consumers of ReportA cannot effort any data from visuals.

Which two actions should you perform? Each correct answer presents a complete solution.

NOTE Each correct selection is worth one point.

From Power B1 Desktop, modify the Data Load settings From the answer B1 service modify the Report settings. From Power B1 Desktop modify the Report settings From the Power B1 service, modify the dataset permissions.

Topic Content

Visualize and Analyze the Data Create Reports Master the fundamentals of report creation by selecting appropriate visuals that best represent your data, then format and configure them for optimal presentation. Leverage Copilot to generate narrative visuals and create new report pages with intelligent content suggestions. Customize your reports by applying and personalizing themes, implementing conditional formatting to highlight key insights, and applying slicing and filtering techniques to focus on relevant data segments. Configure report pages strategically and understand when paginated reports... Visualize and Analyze the Data Create Reports Master the fundamentals of report creation by selecting appropriate visuals that best represent your data, then format and configure them for optimal presentation. Leverage Copilot to generate narrative visuals and create new report pages with intelligent content suggestions. Customize your reports by applying and personalizing themes, implementing conditional formatting to highlight key insights, and applying slicing and filtering techniques to focus on relevant data segments. Configure report pages strategically and understand when paginated reports are the appropriate choice. Enhance your visualizations further by creating visual calculations using DAX formulas to derive meaningful metrics and KPIs directly within your reports. Enhance Reports for Usability and Storytelling Transform your reports into compelling data narratives by configuring bookmarks that guide users through key findings and creating custom tooltips that provide contextual information. Manage visual interactions to control how different elements communicate with each other, and establish clear navigation paths through your report pages. Implement sorting strategies, synchronized slicers, and organized visual hierarchies using the Selection pane to improve user experience. Design drillthrough navigation with targeted filters and buttons to enable deeper exploration, while ensuring your reports are accessible across all devices through mobile optimization and accessibility configurations. Enable personalization features that allow users to customize their viewing experience, configure automatic page refresh for real-time insights, and manage export settings to control how stakeholders consume your data. Identify Patterns and Trends Uncover hidden insights within your data by utilizing Power BIs Analyze feature to automatically detect significant patterns and relationships. Apply advanced analytical techniques including grouping, binning, and clustering to segment and organize complex datasets into meaningful categories. Incorporate AI-powered visuals and statistical tools such as reference lines, error bars, and forecasting capabilities to visualize trends and predict future outcomes. Detect outliers and anomalies that may indicate unusual business events or data quality issues, and use Copilot to generate comprehensive summaries of your semantic model that reveal underlying data structures and relationships. See More

Sample Questions for Topic 2 : Visualize and analyze the data

You need to address the data concerns before creating the data model. What should you do in Power Query Editor?

Select Column distribution. Select the sales_amount column and apply a number filter. Select Column profile, and then select the sales_amount column. Transform the sales_amount column to replace negative values with 0.

Topic Content

Manage and secure Power BI encompasses the creation and management of workspaces and assets, including establishing and configuring workspaces, managing app configurations and updates, publishing and importing workspace items, designing dashboards, selecting appropriate distribution methods, setting up subscriptions and data alerts, promoting or certifying content quality, determining gateway requirements, and scheduling semantic model refreshes. Additionally, securing and governing Power BI items involves assigning appropriate workspace roles to users, configuring item-level access controls, managing semantic model access permissions, implementing row-level security... See More

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Topic Content

Get or connect to data by identifying and connecting to data sources or a shared semantic model, changing data source settings including credentials and privacy levels, choosing between DirectLake, DirectQuery, and Import modes, and creating and modifying parameters as needed. Profile and clean the data by evaluating data through statistics and column properties, resolving inconsistencies, unexpected or null values, and data quality issues, as well as resolving any data import errors that occur. Transform and load the data by selecting... See More

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PL-300 Microsoft Power BI Data Analyst Exam Topics and Questions

Let's Practice Free Microsoft PL-300 Questions Aligned with Official Exam Topics

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