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Microsoft PL-300 exam consists of multiple-choice questions and is designed to test your knowledge of Microsoft Power BI. PL-300 exam covers topics such as data modeling, report authoring, and dashboard creation. It is recommended that candidates have at least two years of experience working with Power BI and have completed at least one Power BI training course before attempting the exam. Successful completion of the exam leads to the Microsoft Certified: Power Platform Data Analyst Associate certification.
Microsoft PL-300 Exam is designed for those who are looking to validate their skills and knowledge in Microsoft Power BI Data Analysis. Microsoft Power BI Data Analyst certification exam is highly sought after by professionals who want to demonstrate their proficiency in Power BI and stand out in their career. PL-300 exam is intended for individuals who work with data models, reports, dashboards, and visualizations in Power BI.
2026 Microsoft Marvelous PL-300 Trustworthy Exam TorrentWindows computers support the desktop practice test software. Prep4away has a complete support team to fix issues of Microsoft PL-300 PRACTICE TEST software users. Prep4away practice tests (desktop and web-based) produce score report at the end of each attempt. So, that users get awareness of their Microsoft Power BI Data Analyst (PL-300) preparation status and remove their mistakes.
Microsoft PL-300 exam requires candidates to have a good understanding of Power BI, including its features and functionalities. PL-300 exam also covers topics related to data analysis and visualization, such as creating reports and dashboards, visualizing data, and working with datasets. With this certification, professionals can demonstrate their expertise in using Power BI to analyze and interpret data, and they can showcase their skills to potential employers. The Microsoft PL-300 Certification is a valuable asset for data analysts, business analysts, and other professionals who work with data and want to enhance their skillset.
Microsoft Power BI Data Analyst Sample Questions (Q11-Q16):NEW QUESTION # 11
What is the minimum number of datasets and storage modes required to support the reports?
- A. two DirectQuery datasets
- B. a single DirectQuery dataset
- C. two imported datasets
- D. a single imported dataset
Answer: D
Explanation:
"The analysts responsible for each business unit must see all the data the board sees, except the profit and loss data, which must be restricted to only their business unit's data. The analysts must be able to build new reports from the dataset that contains the profit and loss data" => one dataset and two separate workspaces Reason:
All data can be imported into one dataset also if these are two logical models. Shared dimensions can be reconsumed in both models. Reports and additional materials can be shared to the board with an app. The
"profit and loss" data model needs RLS for the analysts and the analysts must have just read access to the original workspace. In a separate workspace with contributer (or more rights) they can create new reports (with live connection to the dataset). It is also stated that the new reports mustn't be shared so therefore no need to include them into the app. Import vs. DirectQuery: Due to RLS requirements an imported dataset is needed. It is not possible with file sources and Sharepoint lists.
Topic 1, Contoso Ltd, Case Study
Contoso Ltd. is a manufacturing company that produces sports equipment. Contoso holds quarterly board meetings for which financial analysts manually prepare Microsoft Excel reports, including balance sheets and profit and loss statements for each of the company s four business units.
Data for the reports comes from the sources shown in the following table.

The balance sheet data is unrelated to the profit and loss results other than they both relate to dates.
The balance sheet data is imported and includes the final monthly balances of each account in the format shown in the following table.

The balance sheet data always includes a row for each account for each month.
The product catalog shows how products roll up to product categories, which roll up to the business units the product list is provided in the format shown in the following table.

Revenue data is provided at the date and product level. Expense data is provided at the date and department level.
Contoso wants the reports and datasets refreshed with minimum manual effort.
The company wants to provide the board with 3 single package of reports that will contain custom navigation and links to supplementary information.
Maintenance, including maturity updating data and access, must be minimized as much as possible.
The reports must be made available to the board from powerbi.com. A group in Microsoft Azure Active Director)' (Azure AD), part of Microsoft Entra. will be used to share information with the board. Contoso identifies the following security requirements for analyst access:
* Analysts must be able to access all balance sheet and product catalog data.
* Analysts must be able to access only the profit and loss data of their respective business unit
* Analysts must be able to create new reports from the dataset that contains the profit and loss data, but the reports built by the analysts must NOT be included in the quarterly reports for the board.
* Analysts must NOT be able to share the quarterly reports with anyone.
* Analysts must NOT be able to make new reports by using the balance sheet data.
You plan to relate the balance sheet table to a date table in Power Bl in a many-to-one relationship based on the last day of the month. At least one of the balance sheet reports in the quarterly reporting package must show the ending balances for the quarter, as well as for the previous quarter.
The date table will contain the columns shown in the following table.

The definitions and attributes for the products departments, and business units must be consistent across all the reports. The board must be able to get the following information from the quarterly reports:
* Revenue trends over time
* The ending balances of each account
* Changes m long-term liabilities from the previous quarter
* The percent of total revenue contributed by each product category
* A comparison of quarterly revenue versus the same quarter from the previous year The reports must be updated with the latest data by 5 AM each day.
Overview
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Existing Environment
Contoso, Ltd. is a manufacturing company that produces outdoor equipment Contoso has quarterly board meetings for which financial analysts manually prepare Microsoft Excel reports, including profit and loss statements for each of the company's four business units, a company balance sheet, and net income projections for the next quarter.
Data and Sources
Data for the reports comes from three sources. Detailed revenue, cost and expense data comes from an Azure SQL database. Summary balance sheet data comes from Microsoft Dynamics 365 Business Central. The balance sheet data is not related to the profit and loss results; other than they both relate to dates.
Monthly revenue and expense projections for the next quarter come from a Microsoft SharePoint Online list.
Quarterly projections relate to the profit and loss results by using the following shared dimensions: date, business unit, department, and product category.
Net Income Projection Data
Net income projection data is stored in a SharePoint Online list named Projections in the format shown in the following table.

Revenue projections are set at the monthly level and summed to show projections for the quarter.
Balance Sheet Data
The balance sheet data is imported with final balances for each account per month in the format shown in the following table.

There is always a row for each account for each month in the balance sheet data.
Dynamics 365 Business Central Data
Business Central contains a product catalog that shows how products roll up to product categories, which roll up to business units. Revenue data is provided at the date and product level. Expense data is provided at the date and department level.
Business Issues
Historically, it has taken two analysts a week to prepare the reports for the quarterly board meetings. Also, there is usually at least one issue each quarter where a value in a report is wrong because of a bad cell reference in an Excel formula. On occasion, there are conflicting results in the reports because the products and departments that roll up to each business unit are not defined consistently.
Planned Changes
Contoso plans to automate and standardize the quarterly reporting process by using Microsoft Power Bl. The company wants to how long it takes to populate reports to less than two days. The company wants to create common logic for business units, products, and departments to be used across all reports, including, but not limited, to the quarterly reporting for the board.
Technical Requirements
Contoso wants the reports and datasets refreshed with minimal manual effort The company wants to provide a single package of reports to the board that contains custom navigation and links to supplementary information.
Maintenance, including manually updating data and access, must be minimized as much as possible.
Security Requirements
The reports must be made available to the board from powerbi.com. A mail-enabled security group will be used to share information with the board.
The analysts responsible for each business unit must see all the data the board sees, except the profit and loss data, which must be restricted to only their business unit's data. The analysts must be able to build new reports from the dataset that contains the profit and loss data, but any reports that the analysts build must not be included in the quarterly reports for the board. The analysts must not be able to share the quarterly reports with anyone.
Report Requirements
You plan to relate the balance sheet to a standard date table in Power Bl in a many-to-one relationship based on the last day of the month. At least one of the balance sheet reports in the quarterly reporting package must show the ending balances for the quarter, as well as for the previous quarter.
Projections must contain a column named RevenueProjection that contains the revenue projection amounts. A relationship must be created from Projections to a table named Date that contains the columns shown in the following table.

The relationships between products and departments to business units must be consistent across all reports.
The board must be able to get the following information from the quarterly reports:
* Revenue trends over time
* Ending balances for each account
* A comparison of expenses versus projections by quarter
* Changes in long-term liabilities from the previous quarter
* A comparison of quarterly revenue versus the same quarter during the prior year
NEW QUESTION # 12
You are creating a Microsoft Power Bl imported data model to perform basket analysis. The goal of the analysis is to identify which products are usually bought together in the same transaction across and within sales territories.
You import a fact table named Sales as shown in the exhibit. (Click the Exhibit tab.) The related dimension tables are imported into the model.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

Reference:
https://finance-bi.com/power-bi-basket-analysis/
NEW QUESTION # 13
You are building a Power Bl report that uses data from an Azure SQL database named erp1.
You Import the following tables.

You need to perform the following analyses:
* Orders sold over time that include a measure of the total order value
* Orders by attributes of products sold
The solution must minimize update times when interacting with visuals in the report. What should you do first?
- A. Create a calculated column that adds a list of product categories to the Orders table by using a DAX function.
- B. From Power Query, merge the Orders query and the Order Line Hems query.
- C. Calculate the count of orders per product by using a DAX function.
- D. From Power Query, merge the Order Line Items query and the Products query.
Answer: B
NEW QUESTION # 14
You have a table that contains a column named Phone. The following is a sample of the data in the Phone column.

You need to add a new column that contains the data in the format of nnn-nnn-nnnn.
How should you complete the Query Editor formula? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Reference:
https://docs.microsoft.com/en-us/powerquery-m/text-replace
https://docs.microsoft.com/en-us/powerquery-m/text-end
NEW QUESTION # 15
You have a Power Bl report that contains a measure named Total Sales.
You need to create a new measure that will return the sum of Total Sates for a year up to a selected date. How should you complete the DAX expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
see the explanation for the answer.
Explanation:
Answer as selected.

NEW QUESTION # 16
......
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