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Actual4Labs never stopped refining the PL-300 collection, and it shows: 472 practice questions with verified answers, three versions for different habits, and a service team that answers when you write.
| Section | Weight | Objectives |
|---|---|---|
| Manage and Maintain Workspace Items | 10-15% | - Manage datasets
|
| Prepare the Data | 10-15% | - Get data from various data sources
|
| Model the Data | 25-30% | - Create measures and DAX calculations
|
| Visualize the Data | 25-30% | - Enhance reports for user experience
|
| Analyze the Data | 10-15% | - Perform analysis in Power BI
|
Microsoft recommends these training resources for the Microsoft Power BI Data Analyst exam:
Follow the training with steady self-testing — the 472 practice questions from Actual4Labs help you apply theory and fill any gaps the training leaves.
The Microsoft Power BI Data Analyst exam contains 40-60 to complete within 120 minutes. Timed simulation in the Actual4Labs Desktop Test Engine teaches that rhythm before exam day does.
The official Microsoft Power BI Data Analyst outline defines 5 domains. The leading three are Prepare the Data (10-15%), Visualize the Data (25-30%), and Model the Data (25-30%). The full list is in the topics section above, and Actual4Labs's 472 practice questions cover each one.
The PL-300 exam is a Microsoft certification exam validating the Microsoft Power BI Data Analyst syllabus shown above. It belongs to these credential paths: Microsoft Certified: Power BI Data Analyst Associate. Earning the credential in 2026 can strengthen a career, and Actual4Labs prepares candidates with 472 practice questions in PDF, Desktop Test Engine, and Online Test Engine formats.
Online proctored exam (Pearson VUE) or in-person testing center Register for the Microsoft Power BI Data Analyst exam through these official channels:
After booking, Actual4Labs delivers your practice questions within 1 minute — preparation starts the same day.
The Microsoft Power BI Data Analyst exam requires 700 (scaled score, passing not publicly disclosed) to pass, and registration costs $165.00 USD. A failed attempt means paying the same fee again — a readiness check with the Actual4Labs engines before booking is the cheaper option.
Three versions of the same study materials: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows that simulates the real exam with two practice modes and works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. Download the demo first, experience the materials, and choose the format you like best — all 472 practice questions are identical across versions. Every purchase includes 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations.
Actual4Labs issues a full refund if you take the Microsoft Power BI Data Analyst exam within 60 days of purchase and do not pass. The policy does not apply if the exam is taken within 3 days of purchase, if the exam was never actually taken, or to free materials or expired orders, and the candidate name must match the payer name. Submit a scan of your enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, exchange for two free exam products of equal value and keep your original update service. Orders arrive by email within 1 minute — contact support if nothing arrives within 2 hours.
No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam. Since requirements change over time, confirm the latest on the official Microsoft exam page before scheduling.
You need to create a DAX measure in the data model that only allows users to see projections at the appropriate levels of granularity.
How should you complete the measure? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
The key constraint is to create a DAX measure in the data model that only allows users to see projections at the appropriate levels of granularity. Read the completed answer mapping as 1) IF; 2) ISFILTERED; 3) SUM.
An alternative that changes the source or creates a stored column either ignores filter context or increases model size without meeting a dynamic measure requirement. Measures are evaluated in the current filter context, whereas calculated columns are stored at refresh. The selected DAX must therefore return the requested result at the correct grain without materializing unnecessary model data. The current skills outline describes this competency as " Create single aggregation measures " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/dax/ | PL-300 objective: " Create single aggregation measures " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources
/study-guides/pl-300
You have a query named All Sales that imports sales data into a Power BI model.
You plan to create a star schema by separating columns into separate queries and performing further transformations. The solution must meet the following requirements:
; Use All Sales as the source for three other queries named Sales Fact Product Dimension, and Customer Dimension.
; Minimize maintenance effort.
What should you do to create the Sales Fact query, and for which query should you clear Enable load? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
A star schema separates descriptive dimensions from event-level facts. Keeping the fact grain and relationship keys aligned supports correct aggregation and generally produces simpler, more efficient report queries. Use the selections preserved in the answer exhibit as the supported configuration. The relevant context is that the solution must meet the following requirements:; Use All Sales as the source for three other queries named Sales Fact Product Dimension, and Customer Dimension.; Minimize maintenance effort. Combining descriptive attributes and transactions at mixed grains makes keys and aggregation less predictable than a dimension-to-fact star design. This rationale is anchored to the PL-300 objective " Create fact tables and dimension tables " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/guidance/star-schema | PL-300 objective: " Create fact tables and dimension tables " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300
You have a Microsoft Power BI dashboard. The report used to create the dashboard uses an imported semantic model from a Microsoft SQL Server data source. The dashboard is shown in the exhibit.
What occurred at 12:03:06 PM?
Correct Answer: B 🗳️
Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).
You need to create a calculated column to display the month based on the reporting requirements. Which DAX expression should you use?
Correct Answer: D 🗳️
Explanation: Only visible for Actual4Labs members. You can sign-up / login (it's free).
You need to create a date table in Power BI that must contain 10 full calendar years, including the current year How should you complete the DAX expression? To answer, drag the appropriate values to the correct locations. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
The retained answer-area mapping contains the correct selections. The key constraint is to create a date table in Power BI that must contain 10 full calendar years, including the current year. A text month or an incomplete date column cannot supply a reliable chronological hierarchy or the contiguous dates expected by time-intelligence calculations. A dedicated, contiguous date table supports month, quarter, and year analysis consistently. Marking it as a date table tells Power BI which column represents the model ' s canonical dates.
In Microsoft ' s current exam outline, the corresponding objective is " Create a common date table " . It also preserves predictable filter context and aggregation behavior when the result is used by several visuals or report pages.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-date-tables | PL-300 objective: " Create a common date table " | Study guide: https://learn.microsoft.com/en-us/credentials
/certifications/resources/study-guides/pl-300
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