Microsoft Microsoft Certifications PL-300 Questions & Answers

• Question 181:

  You need to get data from the Microsoft SQL Server tables. What should you use to configure the connection?

  A. import that uses a Microsoft account

  B. DirectQuery that uses the end-user s credentials

  C. DirectQuery that uses a database credential

  D. Import that uses a database credential

  Correct Answer: B

• Question 182:

  You merge data from Sales.Region, Region_Manager, Sales_Manager, and Manager into a single table named Region. What should you do next to meet the reporting requirements of the executives?

  A. Apply row-level security (RLS) to the Region table based on the sales manager username.

  B. Configure a bi-directional relationship between Region and Sales.Region.

  C. Create a DAX calculated column that retrieves the region manager from the Weekly.Returns table based on the sales.regionjd column.

  D. In the Region table, create a hierarchy that has the manager name, and then the sales manager name.

  Correct Answer: C

• Question 183:

  You need to create the required relationship for the executive's visual. What should you do before you can create the relationship?

  A. Change the data type of Sales[region_id] to Whole Number.

  B. In the Sales table, add a measure for sum(sales_amount).

  C. Change the data type of sales[sales_id] to Text.

  D. Change the data type of sales [region_id] to Decimal Number.

  Correct Answer: A

  Scenario: Executives require a visual that shows sales by region.

  Need to change the sales_id column from Varchar to Whole Number (Integer).

• Question 184:

  You need to recommend a strategy to consistently define the business unit, department, and product category data and make the data usable across reports. What should you recommend?

  A. Create a shared dataset for each standardized entity.

  B. Create dataflows for the standardized data and make the dataflows available for use in all imported datasets.

  C. For every report, create and use a single shared dataset that contains the standardized data.

  D. For the three entities, create exports of the data from the Power Bl model to Excel and store the data in Microsoft OneDrive for others to use as a source.

  Correct Answer: B

• Question 185:

  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: D

  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.

• Question 186:

  What should you create to meet the reporting requirements of the sales department?

  A. a measure that uses a formula of SUM(Sales[sales_id])

  B. a calculated column that use a formula of COUNTA(Sales[sales_id])

  C. a measure that uses a formula of COUNTROWS(Sales)

  D. a calculated column that uses a formula of SUM(Sales[sales_id])

  Correct Answer: C

  The sale department requires reports that contain the number of sales transactions.

  The COUNTROWS function counts the number of rows in the specified table, or in a table defined by an expression.

  Incorrect Answers:

  B: COUNTA counts the number of values in a column. It returns the number of cells in a column that contain a non blank value.

  Reference: https://docs.microsoft.com/en-us/dax/countrows-function-dax

• Question 187:

  You need to create a relationship between the Weekly_Returns table and the Date table to meet the reporting requirements of the regional managers. What should you do?

  A. In the Weekly.Returns table, create a new calculated column named date-id in a format of yyyymmdd and use the calculated column to create a relationship to the Date table.

  B. Add the Weekly_Returns data to the Sales table by using related DAX functions.

  C. Create a new table based on the Date table where date-id is unique, and then create a many-tomany relationship to Weekly_Return.

  Correct Answer: A

  Scenario: Region managers require a visual to analyze weekly sales and returns. To relate the two tables we need a common column

• Question 188:

  You need to review the data for which there are concerns before creating the data model. What should you do in Power Query Editor?

  A. Select Column distribution.

  B. Select the sales_amount column and apply a number filter.

  C. Select Column profile, and then select the sales_amount column.

  D. Transform the sales_amount column to replace negative values with 0.

  Correct Answer: C

  Because it has a min and a max info so you can see if there are negative values.

  Reference: https://www.xspdf.com/resolution/50510644.html

• Question 189:

  You need to create a calculated column to display the month based on the reporting requirements. Which DAX expression should you use?

  A. FORMAT('Date'[date], "MMM YYYY")

  B. FORMAT('Date' [date], "M YY")

  C. FORMAT('Date'[date_id], "MMM") and "" and FORMAT('Date'[year], "#")

  D. FORMAT('Date' [date_id], "MMM YYYY")

  Correct Answer: A

  Scenario: In the Date table, the date_id column has a format of yyyymmdd. Users must be able to see the month in reports as shown in the following example: Feb 2020. Incorrect Answers:

  B: The output format should be "MMM YYYY" not "M YY" C, D: The data_id is an integer and not a Date datatype.

  Reference: https://docs.microsoft.com/en-us/dax/format-function-dax https://dax.guide/format/

• Question 190:

  You need to create relationships to meet the reporting requirements of the customer service department.

  What should you create?

  A. an additional date table named ShipDate, a one-to-many relationship from Sales[sales_date_id] to Date[date_id], and a one-to-many relationship from Sales[sales_ship_date_id] to ShipDate[date_id]

  B. an additional date table named ShipDate, a many-to-many relationship from Sales[sales_date_id] to Date[date_id], and a many-to-many relationship from Sales[sales_ship_date_id] to ShipDate[date_id]

  C. a one-to-many relationship from Date[date_id] to Sales[sales_date_id] and another one-to-many relationship from Date[date_id] to Weekly_Returns[week_id]

  D. a one-to-many relationship from Sales[sales_date_id] to Date[date_id] and a one-to-many relationship from Sales[sales_ship_date_id] to Date[date_id]

  E. a one-to-many relationship from Date[date_id] to Sales[sales_date_id] and another one-to-many relationship from Date[date_id] to Sales[sales_ship_date_id]

  Correct Answer: A

  Scenario: The customer service department requires a visual that can be filtered by both sales month and ship month independently.

  In Power BI Desktop, only one relationship can be active between a Fact table and Dimension table, so we need an extra table.

  Use one-to-many relationship to be able to filter.

  Incorrect Answers:

  C: Cannot make a relation between a date_id and a week_id.

  D: The one-to-many relationships between the Sales and the Date tables goes in the other direction: for each date there can be many sales or shipments.

  Reference: https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-relationships-understand