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If your test date is circled on the calendar and study hours are scarce, the Microsoft Power BI Data Analyst practice questions from Prep4away give you a focused route through the material. Every one of the 472 questions in the PL-300 package targets what the exam actually measures, so each minute of prep counts.
Microsoft PL-300 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Manage and Maintain Workspace Items | 10-15% | - Create and manage workspaces
|
| Analyze the Data | 10-15% | - Perform analysis in Power BI
|
| Model the Data | 25-30% | - Design a data model
|
| Prepare the Data | 10-15% | - Clean, transform, and load the data
|
| Visualize the Data | 25-30% | - Enrich reports with advanced visuals
|
Microsoft Power BI Data Analyst FAQ: What Candidates Ask Most
The PL-300 exam is the official Microsoft exam behind Microsoft Power BI Data Analyst — passing it earns you the Microsoft Certified: Power BI Data Analyst Associate certification, a credential positioned at the Associate level. It is built for candidates who want to validate the skills measured by Microsoft Power BI Data Analyst. Depending on your track, the exam is also linked to the Microsoft Certified: Power BI Data Analyst Associate certification, so one pass can move you toward more than one Microsoft credential.
The PL-300 exam presents 40-60 questions to be completed within 120 minutes. That pace leaves little room for second-guessing: read each question carefully on the first pass, flag the ones you want to revisit, and keep moving instead of stalling on a single item. Before exam day, run at least one full timed session in the Prep4away desktop or online test engine with a comparable question load — a steady rhythm under the clock is a trainable skill, and it is often what separates a pass from a near miss.
To pass the PL-300 exam you need 700 (scaled score, passing not publicly disclosed), and the official registration fee is $165.00 USD. Keep in mind that a failed attempt means paying that fee again in full — retakes are not discounted. Given the cost, self-test before you book: if you can score comfortably above the passing mark on two or three consecutive timed Prep4away practice tests, your budget is far better spent on the exam itself than on a retake.
No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam. Because Microsoft revises its certification programs from time to time, treat this as a starting point rather than the final word. Confirm the current eligibility requirements on the official Microsoft exam page before you register.
Yes. A free PDF demo of the PL-300 practice questions is available, so you can check the question style and answer quality before spending anything. Every purchase also includes 365 days of free updates — whenever Microsoft adjusts the Microsoft Power BI Data Analyst blueprint, your material is refreshed at no cost during that period. After the first year, you can extend the update service at a 50% discount from your member zone.
Prep4away backs your purchase with a 100% Money Back Guarantee. If you take the corresponding exam within 60 days of purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip together with the official Score Report PDF within 2 days of your exam date; approved claims are processed within 7 days. The guarantee applies only to the exam matching your purchase, the candidate name must match the payer name, and it does not cover attempts taken within 3 days of purchase, candidates who downloaded the material but never sat the exam, expired orders, or free materials. If you would rather keep preparing, you can exchange the product for two free exam preparation packages of equal value and keep the update service on your original purchase.
Delivery is instant: your download is available right after payment, and a copy is emailed to you within one minute. If nothing arrives within 2 hours, check your spam folder and contact our support team. There is no limit on the number of computers you can install the software on.
The Microsoft Power BI Data Analyst syllabus is organized into 5 domains. Among the headline areas are Model the Data (25-30%), Manage and Maintain Workspace Items (10-15%), Visualize the Data (25-30%). Rather than copying every subtopic here, we keep the complete, current outline in the Exam Topics section above — work through it domain by domain with the Prep4away PL-300 practice questions so nothing on the blueprint catches you off guard.
Microsoft Power BI Data Analyst Sample Questions:
You attempt to open a PBIX file in Microsoft Power BI Desktop and receive the following error message in Power Query Editor.
DataSource. Error: Could of not find file D:\Data.txt.
How should you resolve the issue?
- A. Change the file path of DataM
- B. Update the Microsoft OLE OS Provider client libraries on your client computer.
- C. Use an on-premises data gateway.
- D. Change the file format to CSV.
Correct Answer: A 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
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 report that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys:
Due Date
Order Date
Delivery Date
You need to support the analysis of sales over time based on all the date foreign keys.
Solution: For each date foreign key, you add inactive relationships between the sales table and the date table.
Does this meet the goal?
- A. Yes
- B. No
Correct Answer: B 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
The tables have the following relationships.
You have 100 salespeople in 10,000 cities. Each salesperson sells in multiple cities.
You import one million rows into the Sales table.
You need to reduce the size of Model1. The solution must ensure that you can analyze the total number of sales by salesperson per city.
Solution: You remove the Salesperson table.
Does this meet the goal?
- A. Yes
- B. No
Correct Answer: B 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
You have a Microsoft Excel workbook that contains two sheets named Sheet1 and Sheet2. Sheet1 contains the following table named Table1.
Sheet2 contains the following table named Table2.
You need to use Power Query Editor to combine the products from Table1 and Table2 into the following table that has one column containing no duplicate values.
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:
What determines the answer is the need to use Power Query Editor to combine the products from Table1 and Table2 into the following table that has one column containing no duplicate values. The selections in the retained answer exhibit are the verified configuration. The M transformation belongs in the query pipeline, where source values can be cleaned, split, filled, renamed, or typed consistently. A report visual or DAX measure would operate too late in the process. A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded. The current PL-
300 study guide places this under the objective " Create and transform columns " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Create and transform columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
/resources/study-guides/pl-300
You have a Power BI semantic model that imports data from a Microsoft SQL Server database and an Oracle database. The semantic model is deployed to the Power BI service. Parameters are already used for the SQL Server data source.
You are planning to make change to the semantic model that will ensure consistent behavior across all the data sources.
You need to enable parameterization for the Oracle data source. The solution must minimize changes to the existing model.
What should you do?
- A. From Power BI Desktop, modify the Oracle data source to use a parameter, and then republish the model to the Power BI service.
- B. From the Power BI service, modify the parameters of the SQL Server data source.
- C. From the Power BI service, create a new semantic model that uses the existing model as a data source, and then parameterize the new model.
- D. From the Power BI service, set a parameter value for the model.
Correct Answer: A 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
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