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Exam PL-300: Microsoft Power BI Data Analyst – Proficient in using Power Query and writing expressions by using DAX.
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Q1 – 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 Bl. 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 WHERE clause to the SQL statement. Does this meet the goal?
A. Yes
B. No
Correct Answer: A
The WHERE clause has its effects before the data is imported.
Reference: https://docs.microsoft.com/en-us/power-bi/connect-data/service-gateway-sql-tutorial
Q2 – In Power Bi Desktop, you are creating visualizations in a report based on an imported dataset
You need to allow Power Bi users to export the summarized data used to create the visualizations but prevent the users from exporting the underlying data. What should you do?
A. From Power BI Desktop, configure the Data Load settings for the current file.
B. From the Power BI service, configure the dataset permissions.
C. From Power BI Desktop, configure the Report settings for the current file.
D. From Power BI Desktop, modify the data source permissions.
Correct Answer: B
Q3 – How should you distribute the reports to the board? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Box 1: Using an app
Scenario:
The company wants to provide a single package of reports to the board that contains custom navigation and links to supplementary information.
Box 2: A mail-enabled Azure-Active Directory group
Scenario: Security Requirements The reports must be made available to the board from powerbi.com. A mail-enabled Azure-Active Directory (security)group will be used to share information with the board.
Q4 – You have a report page that contains the visuals shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point.
Hot Area:
Box 1: cross-filter
By default, selecting a data point in one visual on a report page will cross-filter or cross- highlight the other visuals on the page.
Box 2: cross-highlight
Example:
By default, selecting a data point in one visual on a report page will cross-filter or cross- highlight the other visuals on the page.
Q5 – Which two types of visualizations can be used in the balance sheet reports to meet the reporting goals? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. a line chart that shows balances by quarter filtered to account categories that are long-term liabilities.
B. a clustered column chart that shows balances by date (x-axis) and account category (legend) without filters.
C. a clustered column chart that shows balances by quarter filtered to account categories that are long-term liabilities.
D. a pie chart that shows balances by account category without filters.
E. a ribbon chart that shows balances by quarter and accounts in the legend.
Correct Answer: AC
Q6 – You have a Microsoft Power BI report. The size of PBIX file is 550 MB. The report is accessed by using an App workspace in shared capacity of powerbi.com. The report uses an imported dataset that contains one fact table. The fact table contains 12 million rows. The dataset is scheduled to refresh twice a day at 08:00 and 17:00.
The report is a single page that contains 15 AppSource visuals and 10 default visuals. Users say that the report is slow to load the visuals when they access and interact with the report. You need to recommend a solution to improve the performance of the report. What should you recommend?
A. Change any DAX measures to use iterator functions.
B. Replace the default visuals with AppSource visuals.
C. Change the imported dataset to DirectQuery.
D. Remove unused columns from tables in the data model.
Correct Answer: C
DirectQuery: No data is imported or copied into Power BI Desktop. Import: The selected tables and columns are imported into Power BI Desktop. As you create or interact with a visualization, Power BI Desktop uses the imported data.
Benefits of using DirectQuery There are a few benefits to using DirectQuery:
DirectQuery lets you build visualizations over very large datasets, where it would otherwise be unfeasible to first import all the data with pre-aggregation.
Underlying data changes can require a refresh of data. For some reports, the need to display current data can require large data transfers, making reimporting data unfeasible. By contrast, DirectQuery reports always use current data. The 1-GB dataset limitation doesn\’t apply to DirectQuery.
Reference:
https://docs.microsoft.com/en-us/power-bi/connect-data/desktop-use-directquery
Q7 – 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: From Power Query Editor, you import the table and then add a filter step to the query. Does this meet the goal?
A. Yes
B. No
Correct Answer: B
The filter is applied after the data is imported. Instead add a WHERE clause to the SQL statement.
Reference: https://docs.microsoft.com/en-us/power-bi/connect-data/service-gateway-sql-tutorial
Q8 – You have the tables shown in the following table.
The Impressions table contains approximately 30 million records per month. You need to create an ad analytics system to meet the following requirements:
1. Present ad impression counts for the day, campaign, and Site_name. The analytics for the last year are required.
2. Minimize the data model size.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Group the impressions by Ad_id, Site_name, and Impression_date.Aggregate by using the CountRows function.
B. Create one-to-many relationships between the tables.
C. Create a calculated measure that aggregates by using the COUNTROWS function.
D. Create a calculated table that contains Ad_id, Site_name, and Impression_date.
Correct Answer: AB
Q9 – You have the following three versions of an Azure SQL database:
1. Test
2. Production
3. Development
You have a dataset that uses the development database as a data source.
You need to configure the dataset so that you can easily change the data source between the development, test, and production database servers from powerbi.com. Which should you do?
A. Create a JSON file that contains the database server names. Import the JSON file to the dataset.
B. Create a parameter and update the queries to use the parameter.
C. Create a query for each database server and hide the development tables.
D. Set the data source privacy level to Organizational and use the ReplaceValue Power Query M function.
Correct Answer: B
As you can\\’t edit datasets data sources in Power BI service, we recommend using parameters to store connection details such as instance names and database names, instead of using a static connection string. This allows you to manage the connections through the Power BI service web portal, or using APIs, at a later stage.
Reference: https://docs.microsoft.com/en-us/power-bi/create-reports/deployment-pipelines-best-practices
Q10 – What is the minimum number of datasets and storage modes required to support the reports? (What is the minimum number of Power BI datasets needed to support the reports?)
A. two imported datasets
B. a single DirectQuery dataset
C. two DirectQuery datasets
D. a single imported dataset
Correct Answer: A
Scenario: 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 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.
Reference: https://docs.microsoft.com/en-us/power-bi/connect-data/service-datasets-understand
Q11 – You are configuring a Microsoft Power BI data model to enable users to ask natural language questions by using QandA. You have a table named Customer that has the following measure.
Customer Count = DISTINCTCOUNT(Customer[CustomerID]) Users frequently refer to customers as subscribers.
You need to ensure that the users can get a useful result for “subscriber count” by using QandA. The solution must minimize the size of the model. What should you do?
A. Set Summarize By to None for the CustomerID column.
B. Add a synonym of “subscriber” to the Customer table.
C. Add a synonym of “subscriberID” to the CustomerID column.
D. Add a description of “subscriber count” to the Customer Count measure.
Correct Answer: B
You can add synonyms to tables and columns.
Note: This step applies specifically to QandA (and not to Power BI reports in general). Users often have a variety of terms they use to refer to the same thing, such as total sales, net sales, total net sales. You can add these synonyms to tables and columns in the Power BI model.
This step applies specifically to QandA (and not to Power BI reports in general). Users often have a variety of terms they use to refer to the same thing, such as total sales, net sales, total net sales. You can add these synonyms to tables and columns in the Power BI model.
Reference: https://docs.microsoft.com/en-us/power-bi/natural-language/q-and-a-best-practices
Q12 – You have the Power BI data model shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Hot Area:
Q13 -You receive revenue data that must be included in Microsoft Power BI reports.
You preview the data from a Microsoft Excel source in Power Query 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.
Select and Place:
Correct Answer:
Step 1: Select Use Header as First Row.
Step 2: Select Department and Product and Unpivot Other Columns
Unpivot Other Columns: This command unpivots unselected columns. Use this command in a query when not all columns are known. New columns added during a refresh operation are also unpivoted.
Step 3: Rename the Attribute column to Year and the Value column to Revenue.
You might want to unpivot data, sometimes called flattening the data, to put it in a matrix format so that all similar values are in one column. This is necessary, for example, to create a chart or a report.
When you unpivot, you unpack the attribute-value pairs that represent an intersection point of the new columns and reorient them into flattened columns:
Values (in blue on the left) are unpivoted into a new column (in blue on the right).
Attributes (in green on the left) are unpivoted into a new column (in green on the right) and duplicates are correspondingly mapped to the new Values column.
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