Microsoft certsexpert microsoft Certified: Power Bi Data Analyst Associate Pl-300 Microsoft Study Notes by Eleri q232 vce pdf

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Exam Name:	Microsoft Power BI Data Analyst
Exam Code:	PL-300 Dumps
Vendor:	Microsoft	Certification:	Microsoft Certified: Power BI Data Analyst Associate
Questions:	386 Q&A's	Shared By:	eleri

Question 20

Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is the same in each question in this series.

You have a Microsoft SQL Server database that contains the following tables.

Questions 20

The following columns contain date information:

- Date[Month] in the mmyyyy format

- Date[Date_ID] in the ddmmyyyy format

- Date[Date_name] in the mm/dd/yyyy format

- Monthly_returns[Month_ID] in the mmyyyy format

The Order table contains more than one million rows.

The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only relationship between the tables.

You plan to use Power BI Desktop to create an analytics solution for the data.

You need to create a relationship between the Order table and the Store table on the Store_ID column.

What should you do before you create the relationship?

Options:

In the Order table query, use the Table.TrasformRows function.

In the Store table query, use the Table.TrasformRows function.

In the Store table query, use the Table.TrasformColumnTypes function.

In the Order table query, use the Table.TrasformColumnTypes function.

Discussion

Question 21

Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is the same in each question in this series.

You have a Microsoft SQL Server database that contains the following tables.

Questions 21

The following columns contain date information:

- Date[Month] in the mmyyyy format

- Date[Date_ID] in the ddmmyyyy format

- Date[Date_name] in the mm/dd/yyyy format

- Monthly_returns[Month_ID] in the mmyyyy format

The Order table contains more than one million rows.

The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only relationship between the tables.

You plan to use Power BI Desktop to create an analytics solution for the data.

You need to create a relationship between the Monthly_returns table and Date[Date_ID].

What should you do before you create the relationship?

Options:

In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.

In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy format.

To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID]) DAX formula.

To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD]) DAX formula.

Discussion

Question 22

You have the following table named Location.

Questions 22

The GeoCode column represents the country where each customer is located.

You create a map visualization as shown in the exhibit. (Click the Exhibit tab.)

Questions 22

You need to ensure that the map displays the country locations.

What should you do?

Options:

Replace the values in the GeoCode column with postal codes or zip codes.

Change the name of the GeoCode column to Country.

Change the name of the Location table to Country.

Change the Default Summarization of the GeoCode column.

Add a Geoportal column to the Location table.

Change the Data Type of the GeoCode column.

Discussion

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Question 23

You have a Power Bl visual that uses indicators to show values that are out of range as shown in the following exhibit.

Questions 23