Download Analyzing Data with Microsoft Power BI.DA-100.Dump4Pass.2022-04-27.138q.tqb
| Vendor: | Microsoft |
| Exam Code: | DA-100 |
| Exam Name: | Analyzing Data with Microsoft Power BI |
| Date: | Apr 27, 2022 |
| File Size: | 15 MB |
| Downloads: | 2 |
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Demo Questions
Question 1
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], "MMMYYYY")
- FORMAT('Date' [date], "MYY")
- FORMAT('Date'[date_id], "MMM") & "" & FORMAT('Date'[year],"#")
- FORMAT('Date' [date_id], "MMMYYYY")
Correct answer: A
Explanation:
Corrected 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-daxhttps://dax.guide/format/ Corrected
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-daxhttps://dax.guide/format/
Question 2
You need to review the data for which there are concerns before creating the data model.
What should you do in Power Query Editor?
- Transform the sales_amount column to replace negative values with0.
- Select Columndistribution.
- Select the sales_amount column and apply a numberfilter.
- Select Column profile, and then select the sales_amountcolumn.
Correct answer: D
Explanation:
Confirm Scenario: Data Concerns You are concerned with the quality and completeness of the sales data. You plan to verify the sales data for negative sales amounts. The Column profile feature provides a more in-depth look at the data in a column. It contains a column statistics chart that displays Count, Error, Empty, Distinct, Unique, Empty String, Min, & Max of the selected column. Reference: https://docs.microsoft.com/en-us/power-query/data-profiling-toolshttps://powerbidocs.com/2021/03/02/column-quality-column-distribution-column-profile/ Confirm
Scenario: Data Concerns
You are concerned with the quality and completeness of the sales data. You plan to verify the sales data for negative sales amounts.
The Column profile feature provides a more in-depth look at the data in a column. It contains a column statistics chart that displays Count, Error, Empty, Distinct, Unique, Empty String, Min, & Max of the selected column.
Reference:
https://docs.microsoft.com/en-us/power-query/data-profiling-
toolshttps://powerbidocs.com/2021/03/02/column-quality-column-distribution-column-profile/
Question 3
What is the minimum number of Power BI datasets needed to support the reports?
- two importeddatasets
- a single DirectQuerydataset
- two DirectQuerydatasets
- a single importeddataset
Correct answer: A
Explanation:
Confirm 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 Confirm
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
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