PL-300: Microsoft Power BI Data Analyst

13%

Question 41

You have a prospective customer list that contains 1,500 rows of data. The list contains the following fields:
- First name
- Last name
- Email address
- State/Region
- Phone number
You import the list into Power Query Editor.
You need to ensure that the list contains records for each State/Region to which you want to target a marketing campaign.

Which two actions should you perform?
Open the Advanced Editor.
Select Column quality.
Enable Column profiling based on entire dataset.
Select Column distribution.
Select Column profile.




Answers are;
Enable Column profiling based on entire dataset.
Select Column profile.


The dataset have 1500 rows, if you don't enable the column profiling for the entire dataset, the column profiling will be only based on top 1000 rows. So first enable for entire dataset and after that run column profiling for the entire dataset.

References:
https://www.poweredsolutions.co/2019/08/13/data-profiling-quality-distribution-in-power-bi-power-query/
https://www.altentertraining.com/microsoft/power-bi/column-profiling-is-good/

Question 42

You have a CSV file that contains user complaints. The file contains a column named Logged. Logged contains the date and time each complaint occurred. The data in Logged is in the following format: 2018-12-31 at 08:59.
You need to be able to analyze the complaints by the logged date and use a built-in date hierarchy.

What should you do?
Change the data type of the Logged column to Date.
Apply the Parse function from the Date transformations options to the Logged column.
Create a column by example that starts with 2018-12-31 and set the data type of the new column to Date.
Apply a transform to extract the first 11 characters of the Logged column.




Answer is Create a column by example that starts with 2018-12-31 and set the data type of the new column to Date.

To use a built-in-date hierarchy, you need to set the data type of the new column to Date.

Incorrect Answers:
D: To use a transform, you would have to select the Split option, not the Extract option.

References:
https://docs.microsoft.com/en-us/power-bi/create-reports/desktop-add-column-from-example
https://www.exceljetconsult.com.ng/home/blog/power-query-split-date-and-time-into-separate-columns/

Question 43

You create the following step by using Power Query Editor.
- Table.ReplaceValue(SalesLT_Address,"1318","1319",Replacer.ReplaceText,{"AddressLine1"})
A row has a value of 21318 Lasalle Street in the AddressLine1 column.

What will the value be when the step is applied?
1318
1319
21318 Lasalle Street
21319 Lasalle Street




Answer is 21319 Lasalle Street

Reference:
https://docs.microsoft.com/en-us/powerquery-m/table-replacevalue

Question 44

You have a Microsoft SharePoint Online site that contain several document libraries.
One of the document libraries contains manufacturing reports saved as Microsoft Excel files. All the manufacturing reports have the same data structure.
You need to use Power BI Desktop to load only the manufacturing reports to a table for analysis.

What should you do?
Get data from a SharePoint Online folder, enter the site URL, and then select Combine & Load.
Get data from a SharePoint Online list and enter the site URL. Select Combine & Transform, then filter by the folder path to the manufacturing reports library.
Get data from a SharePoint Online folder and enter the site URL. Select Combine & Transform, then filter by the folder path to the manufacturing reports library.
Get data from a SharePoint Online list, enter the site URL, and then select Combine & Load.




Answer is Get data from a SharePoint Online folder and enter the site URL. Select Combine & Transform, then filter by the folder path to the manufacturing reports library.

Reference:
https://www.c-sharpcorner.com/article/combine-and-transform-data-of-multiple-files-located-in-a-folder-in-power-bi/

Question 45

You view a query named Transactions as shown in the following exhibit.

The query gets CSV files from a folder.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.




Box 1: 9
9 distinct CSV files.

Box 2: 10
10 distinct dates.

Question 46

Which data profiling tools does Power Query have?
Column from examples, custom column, and conditional column
Column quality, distribution, and profile
Index column and duplicate column
Format, extract, and parse




Answer is Column quality, distribution, and profile

The VIEW tab includes data profiling tools like column quality, distribution, and profile

Question 47

Which data profiling tool can you use to check the number of errors in a column?
Column quality
Column distribution
Column profile
Column quality & column profile




Answer is Column quality & column profile

Column quality shows the percentage of values within a column that are valid, have errors, or are empty; column profile provides this information in the column statistics as well.

Question 48

What can the column distribution be used for?
To identify errors
To identify empty values
To identify primary keys
All of the above




Answer is To identify primary keys

Use column distribution to identify primary keys within your lookup tables when the number of distinct values is equal to the number of unique values.

Question 49

What is the purpose of data profiling in Power Query?
Provide a visual way to explore data
Get a sense of your dataset composition
To solve column quality issues
All of the above




Answer is All of the above

Data profiling tools like column quality, column distribution, and column profile provide a visual way to explore data and get a sense of your dataset composition, while the contextual menus allow you to solve column quality issues.

Question 50

Which data profiling tool provides detailed column statistics and value distribution for a selected column
Column quality
Column distribution
Column profile
Column statistics




Answer is Column profile

Column profile provides a more holistic view of data within a selected column by providing a sample distribution of the data and column statistics.

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