Microsoft PL-300 Valid Dump : Microsoft Power BI Data Analyst

PL-300 real exams

Exam Code: PL-300

Exam Name: Microsoft Power BI Data Analyst

Updated: Sep 23, 2026

Q & A: 472 Questions and Answers

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Short on study time before your PL-300 exam? The 472 practice questions from Actual4Exams focus on the objectives that matter most in the Microsoft Power BI Data Analyst test, so every review session counts. Download the PDF and turn spare minutes into real progress.

Microsoft PL-300 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Power BI Data Analyst
Exam Number:PL-300
Exam Price:$165.00 USD
Exam Duration:120 minutes
Real Exam Qty:40-60
Related Certifications:Microsoft Certified: Power BI Data Analyst Associate
Passing Score:700 (scaled score, passing not publicly disclosed)
Available Languages:Chinese (Simplified), Japanese, English, Korean
Exam Format:Short answer, Multiple choice, Case study, Drag and drop
Certificate Validity Period:1 year
Sample Questions:Free Download PL-300 valid dump
Exam Way:Online proctored exam (Pearson VUE) or in-person testing center
Pre Condition:No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam.
Official Syllabus URL:https://learn.microsoft.com/en-us/certifications/exams/pl-300/

Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Manage and Maintain Workspace Items10-15%- Create and manage workspaces
  • 1. Configure workspace membership and roles
  • 2. Publish and update a Power BI app
  • 3. Configure content certification
  • 4. Endorse sensitive content with sensitivity labels
- Manage datasets
  • 1. Resolve dataset permission issues
  • 2. Manage dataset refresh scheduling
  • 3. Manage gateways and data sources
  • 4. Configure dataset metadata and properties
Topic 2: Prepare the Data10-15%- Get data from various data sources
  • 1. Select a shared dataset or create a local copy
  • 2. Identify and connect to a data source
  • 3. Change data source settings
  • 4. Configure dataset refresh
  • 5. Use Microsoft Fabric and OneLake
  • 6. Choose between DirectQuery, Import, and Dual storage modes
- Clean, transform, and load the data
  • 1. Design and build intermediate tables
  • 2. Identify the data structure
  • 3. Configure data loading and queries
  • 4. Apply user-friendly naming conventions to columns and tables
  • 5. Profile the data
  • 6. Determine proper data types
  • 7. Resolve data quality issues
Topic 3: Visualize the Data25-30%- Build visuals
  • 1. Configure visual interactions and cross-filtering
  • 2. Apply AI insights and enhanced analytics
  • 3. Determine the appropriate visual type
  • 4. Format and configure pages and report backgrounds
  • 5. Configure data colors and shapes
  • 6. Apply sorting and filtering to visuals
- Enrich reports with advanced visuals
  • 1. Integrate Microsoft Copilot for Power BI
  • 2. Configure R and Python visuals
  • 3. Create custom visuals
  • 4. Use dynamic page navigation
- Enhance reports for user experience
  • 1. Apply artistic formatting to visuals
  • 2. Design for mobile and specific layouts
  • 3. Add accessibility features and compliance
  • 4. Add tooltips and navigation
Topic 4: Model the Data25-30%- Design a data model
  • 1. Define tables and table schemas
  • 2. Determine the appropriate granularity
  • 3. Apply field metadata and groupings
  • 4. Design a star schema or snowflake schema
  • 5. Implement row-level security
  • 6. Resolve performance issues with relationships
- Develop the data model
  • 1. Create calculated tables and columns
  • 2. Configure table relationships
  • 3. Create common date tables
  • 4. Use the calculation group feature
  • 5. Build hierarchies and hierarchical fields
  • 6. Implement row-level security roles
- Create measures and DAX calculations
  • 1. Implement context transition
  • 2. Use Time Intelligence functions
  • 3. Write and use basic DAX syntax
  • 4. Use CALCULATE and FILTER functions
  • 5. Create calculated measures
  • 6. Create semi-additive measures
- Optimize model performance
  • 1. Optimize DirectQuery models
  • 2. Configure aggregations
  • 3. Optimize Dax queries
  • 4. Improve user experience by hiding objects
  • 5. Validate performance and resolve issues
Topic 5: Analyze the Data10-15%- Work with metrics in Power BI
  • 1. Create metrics using Microsoft measurements
  • 2. Track goals with scorecards
  • 3. Define and monitor KPIs
  • 4. Use the Decomposition Tree visual
- Perform analysis in Power BI
  • 1. Identify patterns and trends
  • 2. Use the Q&A visual
  • 3. Generate Pinn visual insights
  • 4. Configure auto-insights
  • 5. Apply Quick Insights

PL-300 Exam FAQ: What Candidates Ask About Microsoft Power BI Data Analyst

The PL-300 exam, officially known as Microsoft Power BI Data Analyst, is the Microsoft test that leads to the Microsoft Certified: Power BI Data Analyst Associate certification at the Associate level. Passing it validates the skills employers expect from a certified professional. It is also associated with related credentials such as Microsoft Certified: Power BI Data Analyst Associate.

The PL-300 exam contains 40-60 questions, and you have 120 minutes to complete them. Work out your per-question pace before test day, and flag slow items instead of stalling on them — time pressure, not knowledge, sinks many first attempts. Timed mock exams in the Actual4Exams test engines are the most reliable way to build that rhythm.

The passing score for the PL-300 exam is 700 (scaled score, passing not publicly disclosed), and the official registration fee is $165.00 USD. If you miss the mark, a retake means paying the full fee again, so book your seat only when you are ready. A practical benchmark: score consistently above the passing line on timed practice tests before scheduling the real exam.

No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam.

Entry requirements can change, so confirm the latest conditions on the official exam page: https://learn.microsoft.com/en-us/certifications/exams/pl-300/.

Yes. A free PDF demo of the Microsoft Power BI Data Analyst questions is available, so you can check the question style and answer quality before you pay. Every purchase also includes 365 days of free updates, and if the product expires you can renew the update service at a 50% discount from your member zone.

If you take the corresponding PL-300 exam within 60 days of purchase and do not pass, you can apply for a full refund under the 100% Money Back Guarantee: submit a scan of your enrollment slip and your official Score Report (PDF) within 2 days of the exam date, and the claim is processed within 7 days. Attempts made within 3 days of purchase, downloads without an actual exam attempt, free materials, and expired orders are not eligible, and the candidate name must match the payer name. Prefer new material instead of a refund? You can exchange your purchase for two free products of equal value and keep the update service on your original product. As for delivery, the files are available for instant download and are also emailed to you within one minute of payment — if nothing arrives within 2 hours, contact customer service. There is no limit on how many computers you can install the product on.

The official Microsoft Power BI Data Analyst outline is organized into 5 domains. The first three are:

  • Manage and Maintain Workspace Items — 10-15% of the exam
  • Visualize the Data — 25-30% of the exam
  • Analyze the Data — 10-15% of the exam

See the complete exam topics section above for the full outline and the weighting of every domain.

Microsoft Power BI Data Analyst Sample Questions:

Question #1

You have a Power BI query named Sates that imports the columns shown in the following table.

Usees only use the dale part of the Sales.Date field. Only rows with a Status of Finished are used in analysis.
You need to reduce the load times of the query without affecting the analysis.
Which two actions achieve this goal? Each correct answer presents a complete solution.
NOTL Each correct selection is worth one pant.

  • A. Change the data type of sale [Delivery_Time] to Integer
  • B. Remove sales [Sales_Date].
  • C. Split Sales [Sale_Date] into separate date and time columns.
  • D. Removes (Canceled Date).
  • E. Remove the rows in which sales [status] has a value of Canceled.
Reveal Solution  Discussion  0

Correct Answer: C,E  🗳️

Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).

Question #2

You ate creating a Power BI report that will show the number of current employees over time. The report will use Import storage mode for all tables.
The employment data will be imported from Azure SQL Database in a monthly snapshot. The data will be stored in a table named Headcount and will contain the following:
; One row per employee for each month the employee is employed
; In each row, a date key that shows the first day of the month of each snapshot You have a related date table that contains dates for the years 2020 to 2030.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Storage mode is a model design choice. An Import table cannot be switched back to DirectQuery in place; it must be reconnected or re-added using DirectQuery when the source and model support that mode. Begin with the scenario statement that you ate creating a power bi report that will show the number of current employees over time. the report will use import storage mode for all tables. the employment data will. The retained answer-area mapping contains the correct selections. The relevant current PL-300 study-guide bullet is " Choose between DirectLake, DirectQuery, and Import " . Storage mode cannot always be toggled in place; reconnecting the table in the required mode is different from changing a display or refresh setting.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-storage- mode | PL-300 objective: " Choose between DirectLake, DirectQuery, and Import " | Study guide:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

Question #3

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 solution.
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 have a Power BI model that contains two tables named Sales and Date. Sales contains four columns named TotalCost, DueDate, ShipDate, and OrderDate. Date contains one column named Date.
The tables have the following relationships:
Sales[DueDate] and Date[Date]
Sales[ShipDate] and Date[Date]
Sales[OrderDate] and Date[Date]
The active relationship is on Sales[DueDate].
You need to create measures to count the number of orders by [ShipDate] and the orders by [OrderDate] .
You must meet the goal without duplicating data or loading additional data.
Solution: You create measures that use the CALCULATE, COUNT, and USERELATIONSHIP DAX functions.
Does this meet the goal?

  • A. Yes
  • B. No
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).

Question #4

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 solution.
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 have a data source that contains a column. The column contains case sensitive data.
You have a Power BI semantic model in DirectQuery mode.
You connect to the model and discover that it contains undefined values and errors.
You need to resolve the issue.
Solution: You implicitly convert the values into the required type.
Does this meet the goal?

  • A. Yes
  • B. No
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).

Question #5

You have a query in Power Query Editor that contains the following data.

You need to transform the data to appear as shown in the following table.

What should you do?

  • A. Unpivot the Classes column.
  • B. Extract the text between delimiters in the Classes column.
  • C. Split the Classes column into rows by using a delimiter.
  • D. Convert the Classes column into a list.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).

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