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Exam Number : PL-300
Exam Name : Microsoft Power BI Data Analyst
Vendor Name : Microsoft
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PL-300 test Format | PL-300 Course Contents | PL-300 Course Outline | PL-300 test Syllabus | PL-300 test Objectives


EXAM CODE: PL-300


EXAM NAME: Microsoft Power BI Data Analyst


PASSING SCORE: 700





The Power BI data analyst delivers actionable insights by leveraging available data and applying domain expertise. The Power BI data analyst collaborates with key stakeholders across verticals to identify business requirements- cleans and transforms the data- and then designs and builds data models by using Power BI. The Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations- enables others to perform self-service analytics- and deploys and configures solutions for consumption. Candidates for this test should be proficient using Power Query and writing expressions by using DAX.





• Prepare the data


• Model the data


• Visualize and analyze the data


• Deploy and maintain assets





Prepare the data (15–20%)


Get data from different data sources


• Identify and connect to a data source


• Change data source settings


• Select a shared dataset or create a local dataset


• Select a storage mode


• Use Microsoft Dataverse


• Change the value in a parameterv

• Connect to a data flow


Clean- transform- and load the data


• Profile the data


• Resolve inconsistencies- unexpected or null values- and data quality issue


• Identify and create appropriate keys for joins


• Evaluate and transform column data types


• Shape and transform tables


• Combine queries


• Apply user-friendly naming conventions to columns and queries


• Configure data loading


• Resolve data import errors


Model the data (30–35%)


Design a data model


• Define the tables


• Configure table and column properties


• Design and implement role-playing dimensions


• Define a relationship's cardinality and cross-filter direction


• Design a data model that uses a star schema


• Create a common date table


Develop a data model


• Create calculated tables


• Create hierarchies


• Create calculated columns


• Implement row-level security roles


• Use the Q&A feature


Create model calculations by using DAX


• Create basic measures by using DAX


• Use CALCULATE to manipulate filters


• Implement Time Intelligence using DAX


• Replace implicit measures with explicit measures


• Use basic statistical functions


• Create semi-additive measures


• Use quick measures


Optimize model performance


• Remove unnecessary rows and columns


• Identify poorly performing measures- relationships- and visuals


• Reduce cardinality levels to Boost performance


Visualize and analyze the data (30–35%)


Create reports


• Add visualization items to reports


• Choose an appropriate visualization type


• Format and configure visualizations


• Use a custom visual


• Apply and customize a theme


• Configure conditional formatting


• Apply slicing and filtering


• Configure the report page


• Use the Analyze in Excel feature


• Choose when to use a paginated report


Create dashboards


• Manage tiles on a dashboard


• Configure mobile view


• Use the Q&A feature


• Add a Quick Insights result to a dashboard


• Apply a dashboard theme


• Pin a live report page to a dashboard


Enhance reports for usability and storytelling


• Configure bookmarks


• Create custom tooltips


• Edit and configure interactions between visuals


• Configure navigation for a report


• Apply sorting


• Configure Sync Slicers


• Group and layer visuals by using the selection pane


• Drilldown into data using interactive visuals


• Export report data


• Design reports for mobile devices


Identify patterns and trends


• Use the Analyze feature in Power BI


• Identify outliers


• Choose between continuous and categorical axes


• Use groupings- binnings- and clustering


• Use AI visuals


• Use the Forecast feature


• Create reference lines by using the Analytics pane


Deploy and maintain assets (10–15%)


Manage files and datasets


• Identify when a gateway is required


• Configure a dataset scheduled refresh


• Configure row-level security group membership


• Provide access to datasets


• Manage global options for files


Manage workspaces


• Create and configure a workspace


• Assign workspace roles


• Configure and update a workspace app


• Publish- import- or update assets in a workspace


• Apply sensitivity labels to workspace content


• Configure subscriptions and data alerts


• Promote or certify Power BI content





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PL-300 PDF MCQs

PDF Questions and Answers : 298
File Format : PDF
Latest Update : March 17, 2026
Files Delivery : Instant (5 to 10 min.)
Compatibility : All Desktop and Mobile Devices
Delivery Method : get Account
Sample Download : PL-300 test PDF
 

The Microsoft Power BI Data Analyst (PL-300) certification is designed for professionals who leverage Power BI to maximize the value of their organization's data assets. Candidates are expected to demonstrate proficiency in subject-related syllabus such as data ingestion, Power Query transformations, and the implementation of complex DAX (Data Analysis Expressions) formulas for semantic modeling. The test evaluates your ability to clean and transform data, establish scalable data models using star schemas, and secure assets through Row-Level Security (RLS). Achieving this credential validates your technical expertise in enabling self-service analytics and providing meaningful business value through data storytelling.

MCQs Cover the Following Domains
NumberSectionWeight
01Prepare the data25–30%
02Model the data25–30%
03Visualize and analyze the data25–30%
04Deploy and maintain items15–20%


Preparing for the PL-300 exam requires not only understanding the test syllabus but also practicing with realistic exam-style questions. Our Microsoft Power BI Data Analyst test questions and practice tests help candidates review key concepts and familiarize themselves with the format and difficulty of exams.

At Killexams.com, our team works to maintain up-to-date practice content. We continuously review and refine our question sets and explanations to cover the latest relevant syllabus areas and help learners strengthen their understanding of core syllabus before the official exam. practice tests allow you to identify areas where you need improvement by measuring your readiness and provide you exam questions to polish those areas.

By using our PL-300 test PDF and Test Engine, you can practice with a structured set of questions and answers that are representative of the kinds of items you encounter on the exam. Wherever possible, content includes detailed explanations to clarify reasoning and support deeper learning. To successfully pass the PL-300 exam, candidates should prepare for a testing duration of approximately 100 to 120 minutes, featuring between 40 and 60 questions. According to official guidelines, the passing score is a scaled value of 700 out of 1000. Key tips for success include focusing heavily on Model the data and Visualize the data, which carry the highest weightage. Candidates will encounter various question formats, including multiple-choice, drag-and-drop, and detailed case studies that require identifying the best technical solution for a specific business scenario. Utilizing the official test Sandbox is highly recommended to become familiar with the user interface and question mechanics before the actual test day.

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Online Test Engine Questions : 298
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The Online Test Engine maintains practice history, performance summaries, and visual progress reports. Where available, questions may include explanations or reference information to support better understanding of test topics. Content is reviewed and updated periodically to reflect relevant syllabus changes and maintain consistency with test objectives.



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Desktop Test Engine Questions : 298
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