Microsoft Power BI Data Analyst (PL-300) Exam Dumps & Questions 2025
Microsoft Power BI Data Analyst (PL-300) Exam Dumps & Questions 2025
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Question 1:
How can you create a custom visual in Power BI?
A. By importing a custom visual from the marketplace
B. By using the Power BI Developer Tools to create a custom visual
C. By using the built-in visualizations and customizing them
D. By creating a new report page and adding visuals to it
Answer: B
Explanation:
The correct answer is: By using the Power BI Developer Tools to create a custom visual.
Here’s a breakdown of the other options:
By importing a custom visual from the marketplace: This is a great option if you need a specific visual that’s already been created and published. However, it doesn’t allow you to create a unique visual tailored to your specific needs.
By using the built-in visualizations and customizing them: While you can customize existing visuals to some extent, this approach may not be sufficient if you require a completely new visualization type.
By creating a new report page and adding visuals to it: This option involves creating a new report page and arranging existing visuals. It doesn’t allow you to create a new type of visual.
Therefore, the only way to create a truly custom visual in Power BI is to use the Power BI Developer Tools. This involves writing code using technologies like HTML, CSS, and JavaScript to define the visual’s appearance, behavior, and interactions with data.
Question 2:
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: From the Fields pane, you rename the date table as Due Date. You use a DAX expression to create Order Date and Delivery Date as calculated tables. Does this meet the goal?
A.Yes
B.No
Answer: B
Explanation:
No
Explanation:
While renaming the date table to “Due Date” might be a starting point, creating calculated tables for “Order Date” and “Delivery Date” using DAX expressions is not the most efficient or scalable approach.
Here’s why:
Performance Impact: Creating calculated tables can significantly impact query performance, especially when dealing with large datasets.
Complexity: DAX expressions can be complex, and managing them can become challenging as the data model grows.
Limited Flexibility: Calculated tables are static and can’t adapt to changes in the underlying data.
A better approach:
Create Relationships: Establish relationships between the date table and the sales table using the appropriate date columns (Due Date, Order Date, Delivery Date).
Use Time Intelligence Functions: Utilize DAX time intelligence functions like DATEADD, DATESBETWEEN, and TOTALMTD to analyze sales over time based on different date dimensions.
By creating relationships and leveraging time intelligence functions, you can efficiently analyze sales data across different time periods, providing valuable insights into your business performance. This approach is more flexible, scalable, and performs better than using calculated tables.
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 are modeling data by using Microsoft Power BI. Part of the data model is a large Microsoft SQL Server table named Order that has more than 100 million records. During the development process, you need to import a sample of the data from the Order table.
Solution: You add a report-level filter that filters based on the order date. Does this meet the goal?
A. Yes
B. No
Answer: B
Explanation:
No.
Adding a report-level filter based on the order date wouldn’t be the most efficient way to import a sample of the data from a large SQL Server table in Power BI.
Here’s why:
Performance: Filtering a large table (100 million records) even with a report-level filter can still be slow and resource-intensive during the import process.
Inefficiency: The filter would only affect the data displayed in the report, not the data actually imported into Power BI.
A better solution would be to use techniques specifically designed for sampling large datasets in Power BI, such as:
Sample during import: Power BI Desktop allows you to specify a sample percentage during the import process. This ensures you only import a representative subset of the data.
Native SQL queries: You can write a custom SQL query in Power BI Desktop that retrieves a specific sample size based on your needs. This approach offers more granular control over the sampling process.
Therefore, using a report-level filter is not the most effective solution for this scenario.
Question 4:
You want to show the correlation between two variables in a dataset. Which chart type would be best to use?
A. Scatter chart
B.Bar chart
C.Line chart
D.Pie chart
Answer: A
Explanation:
“A. Scatter chart would be the best chart type to use to show the correlation between two variables in a dataset.
Explanation: A scatter chart is used to display the relationship between two variables. It is a type of plot that uses Cartesian coordinates to display values for two variables for a set of data. Each point on the chart represents an observation in the dataset. The position of the point on the horizontal (x) axis represents the value of one variable, and the position of the point on the vertical (y) axis represents the value of the other variable. By plotting the data points on a scatter chart, we can visually see the correlation between the two variables. B. A bar chart is used to compare different categories or groups. It is not suitable for showing the correlation between two variables. C. A line chart is used to show trends over time or continuous data. It is not suitable for showing the correlation between two variables. D. A pie chart is used to show the proportion of different categories in a dataset. It is not suitable for showing the correlation between two variables. “
Question 5:
What is the purpose of data normalization?
A. To scale data to a common range
B. To remove outliers from the data
C. To replace missing data with estimated values
D. To transform data into a different format
Answer: A
Explanation:
“Proposition: To scale data to a common range. Explanation: The purpose of data normalization is to bring all the data points to a common scale or range. This is done to avoid any bias towards a particular variable that may have a larger range of values. Normalization helps in comparing and analyzing data more accurately. It also helps in improving the performance of machine learning algorithms as they work better with normalized data. Therefore, scaling data to a common range is the correct proposition for the purpose of data normalization. The other propositions are incorrect as they do not fully capture the purpose of data normalization. Removing outliers from the data is a data cleaning technique and not a normalization technique. Replacing missing data with estimated values is a data imputation technique and not a normalization technique. Transforming data into a different format is a data transformation technique and not necessarily a normalization technique. “
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It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
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Question 6:
You want to create a data source that can be used by multiple Power Apps. Which type of data source should you use?
A. SQL Server
B. Common Data Service
C. SharePoint
D. OneDrive
Answer: B
Explanation:
“Correct Proposition: Common Data Service Explanation: Common Data Service (CDS) is a cloud-based data storage and management service provided by Microsoft. It allows users to securely store and manage data that can be accessed by multiple Power Apps and other Microsoft applications. CDS provides a unified data model that can be used across different applications, making it easier to create and manage data sources. SQL Server is a relational database management system that can also be used as a data source for Power Apps, but it requires more technical expertise to set up and manage. SharePoint and OneDrive are file storage and sharing services that can be used to store data, but they are not designed to be used as data sources for Power Apps. “
Question 7:
You are designing a data model for a healthcare organization. Which entity should you use to store information about patient diagnoses?
A. Appointment
B. Encounter
C. Diagnosis Code
D. Procedure
Answer: C
Explanation:
“C. Diagnosis Code Explanation: Out of the given options, the most suitable entity to store information about patient diagnoses is the Diagnosis Code. A diagnosis code is a standardized code that represents a specific medical condition or disease. It is used to identify and classify diseases and medical conditions for billing and statistical purposes. Storing information about patient diagnoses in a diagnosis code entity allows for easy retrieval and analysis of patient data, as well as accurate billing and reporting. Option A, Appointment, is not the correct entity to store information about patient diagnoses as it only represents a scheduled meeting between a patient and a healthcare provider. Option B, Encounter, may be used to store information about patient diagnoses, but it is a broader entity that encompasses all interactions between a patient and a healthcare provider, including appointments, procedures, and tests. Option D, Procedure, is not the correct entity to store information about patient diagnoses as it only represents a specific medical procedure or treatment that a patient has undergone. “
Question 8:
You are designing a data model for a customer relationship management system. Which entity should you use to store information about customer interactions?
A. Account
B. Contact
C. Opportunity
D. Activity
Answer: D
Explanation:
“D. Activity Explanation: A. Account: An account entity is used to store information about a company or organization that you do business with. It typically includes information such as the company name, address, and contact information. It is not the best entity to store information about customer interactions. B. Contact: A contact entity is used to store information about an individual person who is associated with an account. It typically includes information such as the person‘s name, job title, and contact information. While it may include some information about customer interactions, it is not the best entity to store all the details of customer interactions. C. Opportunity: An opportunity entity is used to store information about potential sales deals. It typically includes information such as the deal amount, expected close date, and sales stage. It is not the best entity to store information about customer interactions. D. Activity: An activity entity is used to store information about customer interactions such as phone calls, emails, meetings, and tasks. It typically includes information such as the date, time, type of interaction, and any notes or details about the interaction. This entity is the best choice to store information about customer interactions as it allows for tracking and analysis of customer engagement.“
Question 9:
You want to create a data source that can be used by Power Apps. Which type of data source should you use if you need to store unstructured data?
A. SQL Server
B. Common Data Service
C. SharePoint
D. OneDrive
Answer: B
Explanation:
“Common Data Service Explanation: SQL Server is a relational database management system that is designed to store structured data. It is not suitable for storing unstructured data. SharePoint and OneDrive are document management systems that can store unstructured data such as documents, images, and videos. However, they are not specifically designed to be used as data sources for Power Apps. Common Data Service (CDS) is a cloud-based data storage and management system that is designed to store both structured and unstructured data. It provides a unified data model that can be used by Power Apps, Power BI, and Dynamics 365. CDS also includes features such as data validation, business rules, and security that make it a suitable choice for creating a data source for Power Apps.“
Question 10:
You have a Power BI workspace named Workspace1 that contains a dataset named DS1 and a report named RPT1.A user wants to create a report by using the data in DS1 and publish the report to another workspace.You need to provide the user with the appropriate access. The solution must minimize the number of access permissions granted to the user.What should you do?
A.Add the user as a Viewer of Workspace1
B.Grant the Build permission for DS1 to the user
C.Share RPT1 with the user
D.Add the user as a member of Workspace1
Answer: B
Explanation:
“B. Grant the Build permission for DS1 to the user. Explanation: Option A: Adding the user as a Viewer of Workspace1 will only allow the user to view the report RPT1 and the dataset DS1. The user will not be able to create a report or publish it to another workspace. Option B: Granting the Build permission for DS1 to the user will allow the user to create a report using the data in DS1 and publish it to another workspace. This option minimizes the number of access permissions granted to the user as the user only needs access to the dataset to create a report. Option C: Sharing RPT1 with the user will only allow the user to view the report RPT1. The user will not be able to create a report or publish it to another workspace. Option D: Adding the user as a member of Workspace1 will give the user access to all the content in Workspace1 including the report RPT1 and the dataset DS1. This option grants more access permissions than necessary and does not minimize the number of access permissions granted to the user.“
For a full set of 1100 questions. Go to
https://skillcertpro.com/product/pl-300-exam-questions/
SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
You will get life time access and life time free updates
SkillCertPro assures 100% pass guarantee in first attempt.