Microsoft PL-300 Microsoft Power BI Data Analyst Online Training
Microsoft PL-300 Online Training
The questions for PL-300 were last updated at Nov 26,2024.
- Exam Code: PL-300
- Exam Name: Microsoft Power BI Data Analyst
- Certification Provider: Microsoft
- Latest update: Nov 26,2024
HOTSPOT
You need to create a visual as shown in the following exhibit.
The indicator color for Total Sales will be based on % Growth to Last Year.
The solution must use the existing calculations only.
How should you configure the visual? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Explanation:
Box 1: Background color
To format the Color column based on its field values, select Conditional formatting for the Color field,
and then select Background color or Font color.
In the Background color or Font color dialog box, select Field value from the Format by drop-down field.
Box 2: Field value
With conditional formatting for tables in Power BI Desktop, you can specify customized cell colors, including color gradients, based on field values.
Reference: https://docs.microsoft.com/en-us/power-bi/create-reports/desktop-conditional-table-formatting
HOTSPOT
You are creating a quick measure as shown in the following exhibit.
You need to create a monthly rolling average measure for Sales over time.
How should you configure the quick measure calculation? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Explanation:
Box 1: Total Sales
We select the field Total Sales
Box 2: Date
Select a date field.
Box 3: Month
Monthly periods.
Reference: https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-quick-measures
You have a data model that contains many complex DAX expressions. The expressions contain frequent references to the RELATED and RELATEDTABLE functions.
You need to recommend a solution to minimize the use of the RELATED and RELATEDTABLE functions.
What should you recommend?
- A . Merge tables by using Power Query.
- B . Hide unused columns in the model.
- C . Split the model into multiple models.
- D . Transpose.
A
Explanation:
Combining data means connecting to two or more data sources, shaping them as needed, then consolidating them into a useful query.
When you have one or more columns that you’d like to add to another query, you merge the queries.
Note: The RELATEDTABLE function is a shortcut for CALCULATETABLE function with no logical expression.
CALCULATETABLE evaluates a table expression in a modified filter context and returns A table of values.
Reference: https://docs.microsoft.com/en-us/power-bi/connect-data/desktop-shape-and-combine-data
You have a sales system that contains the tables shown in the following table.
The Date table is marked as a date table.
DatelD is the date data type. You need to create an annual sales growth percentage measure.
Which DAX expression should you use?
- A . SUM(sales[sales_amount]) – CALCULATE(SUM(sales[sales_amount]), SAMEPERIODLASTYEAR(‘Date'[DateID])
- B . (SUM(‘Sales’[sales_amount]) – CALCULATE(SUM(‘Sales’[sales_amount]), SAMEPERIODLASTYEAR(‘Date’[DateID])))
/ CALCULATE(SUM(‘Sales’[sales_amount]), SAMEPERIODLASTYEAR(‘Date’[DateID])) - C . CALCULATE(SUM(sales[sales_amount]), DATESYTD(‘Date’[DateID]))
- D . CALCULATE(SUM(sales[sales_amount]), SAMEPERIODLASTYEAR(‘Date’[DateID]))
B
Explanation:
SAMEPERIODLASTYEAR returns a table that contains a column of dates shifted one year back in time from the dates in the specified dates column, in the current context.
Reference: https://docs.microsoft.com/en-us/dax/sameperiodlastyear-function-dax
You build a report to analyze customer transactions from a database that contains the tables shown in the following table.
You import the tables.
Which relationship should you use to link the tables?
- A . one-to-many from Customer to Transaction
- B . one-to-one between Customer and Transaction
- C . one-to-many from Transaction to Customer
- D . many-to-many between Customer and Transaction
A
Explanation:
Each customer can have many transactions.
For each transaction there is exactly one customer.
HOTSPOT
You are creating an analytics report that will consume data from the tables shown in the following table.
There is a relationship between the tables.
There are no reporting requirements on employeejd and employee_photo.
You need to optimize the data model
What should you configure for employeejd and employee.photo? To answer, select the appropriate options in the answer area.
Explanation:
Box 1: Hide
Optimize data by hiding fields and sorting visualization data
Box 2: Delete
The fastest way to optimize your Power BI report is to limit the number of columns to only the ones you need in your data model. Go through your tables in Power Query and determine what fields are being used. Delete these columns if they are not being used in any of your reports or calculations.
Reference: https://tessellationtech.io/optimizing-power-bi-reports/
HOTSPOT
You are creating a Microsoft Power Bl model that has two tables named CityData and Sales.
CityData contains only the data shown in the following table.
Sales contains only the data shown in the following table.
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Explanation:
Box 1: Yes
The Related function returns a related value from another table.
The RELATED function requires that a relationship exists between the current table and the table with related information. You specify the column that contains the data that you want, and the function follows an existing many-to-one relationship to fetch the value from the specified column in the related table. If a relationship does not exist, you must create a relationship.
Box 2: Yes
Box 3: No
TX only occurs in the Sales table, but not in the CityData table.
Reference:
https://docs.microsoft.com/en-us/dax/related-function-dax
https://docs.microsoft.com/en-us/dax/calculate-function-dax
DRAG DROP
You build a report about warehouse inventory data. The dataset has more than 10 million product records from 200 warehouses worldwide.
You have a table named Products that contains the columns shown in the following table.
Warehouse managers report that it is difficult to use the report because the report uses only the product name in tables and visuals. The product name is contained within the ProductDescription column and is always the fourth value.
You need to modify the report to support the warehouse managers requirement to explore inventory levels at different levels of the product hierarchy. The solution must minimize the model size.
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.
Explanation:
HOTSPOT
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.
Explanation:
Reference: https://finance-bi.com/power-bi-basket-analysis/
You are configuring a Microsoft Power Bl data model to enable users to ask natural language questions by using Q&A. 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 Q&A. The solution must minimize the size of the model.
What should you do?
- A . Add a description of "subscriber count" to the Customer Count measure.
- B . Set Summarize By to None for the CustomerlD column.
- C . Add a description of "Subscriber" to the Customer table.
- D . Add a synonym of "subscriber" to the Customer table.
B
Explanation:
You can add synonyms to tables and columns.
Note: This step applies specifically to Q&A (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 Q&A (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
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