Power BI Data Analyst Associate PL-300 : Practice Tests 2025
Prepare confidently with 400+ latest questions on PL-300 exam. With detailed explanations for each answer.
Power BI Data Analyst Associate PL-300 : Practice Tests 2025 free download
Prepare confidently with 400+ latest questions on PL-300 exam. With detailed explanations for each answer.
July 16th, 2025: added 18 NEW questions including 8 questions based on a new case study (contoso ltd).
Welcome to the Microsoft Power BI Data Analyst Associate PL-300 - Practice Test Course!
If you are preparing for the PL-300 certification exam, then this course is designed to help you succeed by providing high-quality practice tests that closely mirror the real exam.
What You'll Get:
400+ Latest exam questions with detailed explanations to each answer
Realistic Exam Simulation: My practice tests are designed to reflect the format, style, and difficulty of the official Power BI Data Analyst Associate exam. This ensures you get a realistic testing experience.
Comprehensive Coverage: The practice tests cover all the domains and objectives of the PL-300 exam, including :
Prepare the data
Model the data
Visualize and analyze the data
Manage and secure Power BI
Detailed Explanations: Each question comes with a detailed explanation to help you understand the concepts and reasoning behind the correct answers. This is crucial for deepening your knowledge and ensuring you're fully prepared. For each question, I have explained why an answer is correct and have also explained why other options are incorrect. You will also find supporting reference links for a quick read.
Variety of Questions: You'll find a mix of multiple-choice, multiple-response, and scenario-based questions to fully prepare you for what to expect on exam day.
Performance Tracking: Keep track of your progress with the test review feature. Identify your strengths and areas for improvement to focus your study efforts effectively.
Here is a sneak peak of what you will get from this course.
Question #1: You need to create a semantic model in Power BI Desktop. The solution must meet the following requirements:
The model must contain a table named Orders that has one row per order. Each row will contain the total amount per order.
The orders must be filtered to the selected CustomerID value.
Users must select the CustomerID value from a list.
The list of customers must come from an OData source.
Which three objects should you create in Power Query Editor?
an Orders query that has a filter on CustomerID
a Customers query that has a filter on CustomerID
an Orders query that has a single column containing a list of customers
a Customers query that has a single column containing a list of customer IDs
a parameter for CustomerID that uses a query to populate the suggested values
an Orders query that has a filter on CustomerID is CORRECT because this query must return only the rows related to the selected customer. Using the parameter within the Orders query enables dynamic filtering based on the user-selected CustomerID value.
a Customers query that has a single column containing a list of customer IDs is CORRECT because the list from which users will select CustomerID must be dynamic and come from an external source, in this case, an OData feed. Creating a query that returns a single column of Customer IDs ensures that the list remains in sync with the source data.
a parameter for CustomerID that uses a query to populate the suggested values is CORRECT because it allows users to pick a value from a dropdown populated by the Customer ID list returned by the Customers query. This makes the parameter dynamic and aligned with the actual data source, providing a better user experience and maintaining data integrity.
a Customers query that has a filter on CustomerID is INCORRECT because filtering the Customers table itself on a single CustomerID would defeat the purpose of showing a list of all possible customers for selection.
an Orders query that has a single column containing a list of customers is INCORRECT because the Orders query should represent individual orders, not be transformed into a list of unique customers. The list of customers should be a separate Customers query.
a parameter for CustomerID that uses manually entered values to populate the suggested values is INCORRECT because it is static and would require constant maintenance. It does not fulfill the requirement that the customer list come from an OData source.
Question #2: You have a Power BI semantic model.
You need to configure row-level security (RLS) to restrict data access for users that have the Viewer permissions.
Which three actions should you perform in sequence?
ACTIONS
Assign the users the Contributor role for the Power BI workspace.
Publish the semantic model.
Assign the users the Member role for the Power BI workspace.
From the Power BI service, assign the new RLS role to the users.
From Microsoft Power BI Desktop, create a new RLS role by using a DAX filter.
2-4-5
5-3-1
5-2-4
4-2-5
1-5-4
5-2-4 is the CORRECT sequence of actions.
Action 5 is the CORRECT first step because row-level security (RLS) is defined in Power BI Desktop using the Manage roles feature, where you create a role and specify a DAX filter (e.g., [Region] = "West") to restrict the data accessible to users.
Action 2 is the CORRECT second step because after defining the RLS roles in Power BI Desktop, you must publish the semantic model to the Power BI service for those roles to be enforced.
Action 4 is the CORRECT third step because once the dataset is in the Power BI service, you assign users to the RLS roles via the dataset's security settings. These users can then view the data as filtered by their assigned RLS roles.
Action 1 is INCORRECT because assigning users the Contributor role gives them the ability to edit content in the workspace, which exceeds the Viewer permission required in the question.
Action 3 is INCORRECT because the Member role also allows publishing and modifying content. To use RLS with Viewer permissions, users must be assigned to the RLS role while having only the Viewer workspace role.
Question #3: You use Power BI Desktop to open a PBIX file that contains a Microsoft Excel data source.
You attempt to refresh the data and receive the following error message.
Expression.Error: The column ‘Cost’ of the table wasn't found.
What is a possible cause of the error?
The Cost column was renamed in the data source.
The privacy level of the data source does not allow combining the data with other data sources.
The data in the Cost column cannot be converted into the target data type.
The source file was moved to a new location.
The Cost column was renamed in the data source is the CORRECT answer because the error message explicitly states that the column ‘Cost’ was not found. This typically occurs when a column used in applied steps within Power Query (such as filters, transformations, or calculations) has been renamed or removed in the original Excel file. Since Power Query relies on column names to apply transformations, renaming a column in the source file breaks those steps.
The privacy level of the data source does not allow combining the data with other data sources is INCORRECT because such an issue would raise a different error related to data privacy, not a column-not-found error.
The data in the Cost column cannot be converted into the target data type is INCORRECT because a data type mismatch would result in a type conversion error (e.g., "Cannot convert value ..."), not a missing column error.
The source file was moved to a new location is INCORRECT because this would generate a file path or access error (e.g., "Could not find file..."), not an error about a missing column.
See you inside!
