PL-300: Microsoft Power BI Data Analyst - Free download from ExamHUB

You need to address the data concerns before creating the data model. What should you do in Power Query Editor?

Select Column distribution.
Select the sales_amount column and apply a number filter.
Select Column profile, and then select the sales_amount column.
Transform the sales_amount column to replace negative values with 0.

Correct answer: C

Explanation:

You need to create a calculated column to display the month based on the reporting requirements.

Which DAX expression should you use?

FORMAT('Date'[date], "MMM YYYY")
FORMAT('Date' [date], "M YY")
FORMAT('Date'[date_id], "MMM") & "" & FORMAT('Date'[year], "#")
FORMAT('Date' [date_id], "MMM YYYY")

Correct answer: A

Explanation:

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

Change the data type of Sales[region_id] to Whole Number.
In the Sales table, add a measure for sum(sales_amount).
Change the data type of sales[sales_id] to Text.
Change the data type of sales [region_id] to Decimal Number.

Correct answer: A

Explanation:

Scenario: Executives require a visual that shows sales by region.Need to change the sales_id column from Varchar to Whole Number (Integer).

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

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

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

a measure that uses a formula of SUM (Sales [sales_id])
a calculated column that use a formula of COUNTA(sales [sales_id])
a measure that uses a formula of COUNTROWS (Sales)
a calculated column that uses a formula of SUM (Sales [sales_id])

Correct answer: C

Explanation:

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

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.

Reference:

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

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?

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

Explanation:

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

Scenario: Region managers require a visual to analyze weekly sales and returns.

To relate the two tables we need a common column.

You need to provide a solution to provide the sales managers with the required access.

What should you include in the solution?

Create a security role that has a table filter on the Sales_Manager table where username = UserName()
Create a security role that has a table filter on the Region_Manager table where sales_manager_id = UserPrincipalName().
Create a security role that has a table filter on the Sales_Manager table where name = UserName().
Create a security role that has a table filter on the Sales_Manager table where username = sales_manager_id.

Correct answer: A

Explanation:

https://powerbi.microsoft.com/en-us/blog/using-username-in-dax-with-row-level-security/

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

What should you create?

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]
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]
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]
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]
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

Explanation:

Scenario: The customer service department requires a visual that can be filtered by both sales month and ship month independently.Reference:https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-relationships-understand

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

Reference:

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

You need to create a visualization to meet the reporting requirements of the sales managers.

How should you create the visualization? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Correct answer: To display the answer, ProfExam Simulator is required.

Explanation:

Scenario: The sales managers require a visual to analyze sales performance versus sales targets.Box 1: KPIA Key Performance Indicator (KPI) is a visual cue that communicates the amount of progress made toward a measurable goal.Box 2: Sales[sales_amount]Box 3: Date[month]Time > FiscalMonth. This value will represent the trend.Box 4: Targets[sales_target]Reference:https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-kpi

Scenario: The sales managers require a visual to analyze sales performance versus sales targets.

Box 1: KPI

A Key Performance Indicator (KPI) is a visual cue that communicates the amount of progress made toward a measurable goal.

Box 2: Sales[sales_amount]

Box 3: Date[month]

Time > FiscalMonth. This value will represent the trend.

Box 4: Targets[sales_target]

Reference:

https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-kpi

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?

Create a shared dataset for each standardized entity.
Create dataflows for the standardized data and make the dataflows available for use in all imported datasets.
For every report, create and use a single shared dataset that contains the standardized data.
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

Explanation:

/Reference:

support the reports?

two imported datasets
a single DirectQuery dataset
two DirectQuery datasets
a single imported dataset

Correct 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.

"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.

Vendor:	Microsoft
Exam Code:	PL-300
Exam Name:	Microsoft Power BI Data Analyst
Date:	Jun 08, 2022
File Size:	7 MB

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