PDF Version DemoHigh accuracy that fits the exam — our most clipping advantage. The Microsoft Power BI Data Analyst study torrent at PassExamDumps includes the latest exam content: 472 practice questions for the PL-300 exam in 2026.
Microsoft PL-300 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Visualize and analyze data | 25-30% | - Perform data analysis
|
| Manage and secure Power BI | 15-20% | - Deploy and distribute content
|
| Model the data | 25-30% | - Design data models
|
| Prepare the data | 25-30% | - Profile and clean data
|
PL-300 Exam FAQ — Your Shining Point
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The Microsoft Power BI Data Analyst is delivered Online proctored or onsite at Pearson VUE test centers — pick the arrangement that suits you when booking.
USD 165 per attempt, 700 (out of 1000) to pass. Retakes cost the full fee, so review targeted — mark your weak spots in the 472 practice questions for the PL-300 exam at PassExamDumps.
The Microsoft Power BI Data Analyst blueprint spans 4 domains — including Prepare the data (25-30%), Visualize and analyze data (25-30%), Model the data (25-30%). The complete outline above lists every subtopic; our material includes the latest exam content for each.
No mandatory prerequisites; recommended experience: proficiency in Power Query, DAX, data profiling, and understanding of data security concepts Eligibility rules change over time, so verify the current requirements on the official page (official PL-300 exam page) before registering.
Yes:
After any course, review targeted with the 472 practice questions for the Microsoft Power BI Data Analyst — every answer expert-verified.
The Microsoft Power BI Data Analyst is Microsoft's certification exam for Microsoft Certified: Power BI Data Analyst Associate, at the Associate level. The certificate is your shining point — an important element in how employers evaluate you. Related credentials include Microsoft Certified: Data Analyst Associate, Microsoft Certified: Power Platform Associate.
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Microsoft Power BI Data Analyst Sample Questions:
You receive revenue data that must be included in Microsoft Power BI reports.
You perform an initial load of the data from a Microsoft Excel source as shown in the following exhibit.
You plan to create several visuals from the data, including a visual that shows revenue split by year and product.
You need to transform the data to ensure that you can build the visuals. The solution must ensure that the columns are named appropriately for the data that they contain.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Correct Answer:
Explanation:
Read the completed answer mapping as promote the first row to headers; select Department and Product and unpivot the other columns; rename Attribute to Year and Value to Revenue. The required outcome is to transform the data to ensure that you can build the visuals. The solution must ensure that the columns are named appropriately for the data that they contain. Unpivot converts repeated columns into Attribute and Value rows while preserving the identifier columns. This normalizes a wide source so one measure column can be filtered, grouped, and charted consistently. This directly matches the current study-guide objective " Pivot, unpivot, and transpose data " . Pivoting makes a table wider, while unpivoting converts repeated period or category columns into attribute-value rows that visuals can aggregate consistently.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/unpivot-column | PL-300 objective: " Pivot, unpivot, and transpose data " | Study guide: https://learn.microsoft.com/en-us/credentials
/certifications/resources/study-guides/pl-300
Remove unused columns from tables in the data model. This will reduce the size of your PBIX file and make your data model more efficient. You can use Power Query Editor to remove any columns that are not used in your report or calculations.
You need to shape the query to display the following three columns:
* Month
* Sales
* Year
'What should you select in Power Query Editor?
- A. Merge columns
- B. Pivot column
- C. Transpose
- D. Unpivot columns.
Correct Answer: D 🗳️
Explanation: Only visible for PassExamDumps members. You can sign-up / login (it's free).
You need to create the On-Time Shipping report.
The report must include a visualization that shows the percentage of late orders. Which type of visualization should you create?
- A. piechart
- B. scarterplot
- C. bar chart
Correct Answer: C 🗳️
Explanation: Only visible for PassExamDumps members. You can sign-up / login (it's free).
You are creating an analytics report that will consume data from the tables shown in the following table.
There is a relationship between the tables.
There are no reporting requirements on employeejd and employee_photo.
You need to optimize the data model
What should you configure for employeejd and employee.photo? To answer, select the appropriate options in the answer area.
Correct Answer:
Explanation:
What determines the answer is the need to optimize the data model. The retained answer area specifies 1) Hide; 2) Delete. A lookup-to-fact design normally uses one-to-many cardinality and single-direction filtering from the unique key to the repeating key. That creates predictable propagation and avoids an unnecessary ambiguous filter path. The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path. The current PL-300 study guide places this under the objective " Define a relationship ' s cardinality and cross-filter direction " . 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- relationships-understand | PL-300 objective: " Define a relationship ' s cardinality and cross-filter direction "
| Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300
You have two Azure SQL databases that contain the same tables and columns.
For each database, you create a query that retrieves data from a table named Customers.
You need to combine the Customer tables into a single table. The solution must minimize the size of the data model and support scheduled refresh in the Power BI service.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
The scenario is asking for a way to combine the Customer tables into a single table. The solution must minimize the size of the data model and support scheduled refresh in the Power BI service. Read the completed answer mapping as 1) Append Queries as New; 2) Disable loading the query to the data model.
Merge joins columns by key and would change the width of the result rather than combine same-schema records into one table. Append as New stacks the two same-schema Customers query results into a separate combined query. Disabling load for the staging queries avoids storing duplicate copies while leaving the combined query refreshable. The current skills outline describes this competency as " Merge and append queries " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/append-queries | PL-300 objective: " Merge and append queries " | Study guide: https://learn.microsoft.com/en-us/credentials
/certifications/resources/study-guides/pl-300
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