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PL-300 Practice Questions

Question # 1

What should you do to address the existing environment data concerns?

A.

a calculated column that uses the following formula: ABS(Sales[sales_amount])

B.

a measure that uses the following formula: SUMX(FILTER('Sales',
'Sales'[sales_amount] > 0)),[sales_amount])

C.

a measure that uses the following formula: SUM(Sales[sales_amount])

D.

a calculated column that uses the following formula:
IF(ISBLANK(Sales[sales_amount]),0, (Sales[sales_amount]))



B.

a measure that uses the following formula: SUMX(FILTER('Sales',
'Sales'[sales_amount] > 0)),[sales_amount])




Question # 2

You create the following step by using Power Query Editor.
=
Table.ReplaceValue(SalesLT_Address,"1318","1319",Replacer.ReplaceText,{"AddressLine
1"})
A row has a value of 21318 Lasalle Street in the AddressLine1 column. What will the value
be when the step is applied?

A.

1318

B.

1319

C.

21318 Lasalle Street

D.

21319 Lasalle Street



D.

21319 Lasalle Street


Explanation:
Example:
Replace the text "ur" with the text "or" in the table



Question # 3

You have sales data in a star schema that contains four tables named Sales, Customer,
Date, and Product. The Sales table contains purchase and ship dates.
Most often, you will use the purchase date to analyze the data, but you will analyze the
data by both dates independently and together.
You need to design an imported dataset to support the analysis. The solution must
minimize the model size and the number of queries against the data source.
Which data modeling design should you use?

A.

Use the Auto Date/Time functionality in Microsoft Power Bl and do NOT import the Date
table.

B.

Duplicate the Date query in Power Query and create active relationships between Sales
and both Date tables in the modeling view.

C.

On the Date table, use a reference query in Power Query and create active relationships
between Sales and both Date tables in the modeling view.

D.

Import the Date table twice in Power Query and create active relationships between
Sales and both Date tables in the modeling view.



D.

Import the Date table twice in Power Query and create active relationships between
Sales and both Date tables in the modeling view.


Explanation:
Microsoft recommends defining active relationships whenever possible. They widen the
scope and potential of how your model can be used by report authors, and users working
with Q&A.
Refactoring methodology (example): Here's a methodology to refactor a model from a
single role-playing dimension-type table, to a design with one table per role.
Remove any inactive relationships.
Consider renaming the role-playing dimension-type table to better describe its role.
In the example, the Airport table is related to the ArrivalAirport column of the Flight
table, so it's renamed as Arrival Airport.
Create a copy of the role-playing table, providing it with a name that reflects its
role. If it's an Import table, we recommend defining a calculated table. If it's a
DirectQuery table, you can duplicate the Power Query query.
Only one relationship can be active.
Note: If you query two or more tables at the same time, when the data is loaded, Power BI
Desktop attempts to find and create relationships for you. The relationship options
Cardinality, Cross filter direction, and Make this relationship active are automatically set.
Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-create-and-managerelationships



Question # 4

You have a Power B1 model that contains a table named Date. The table has the following columns.



Question # 5

ion have a Power BI dataset that contains a table named Temperature Readings.
Temperature Readings contains the columns shown in the following table.

The table has 12 million rows. All the columns are needed for analysis.
You need to optimize the dataset to decrease the model size. The solution must not affect
the precision of the data.
What should you do?

A.

Split the DateTime column into separate date and time columns.

B.

Disable the Power Query load.

C.

Round the Longitude column two decimal places.

D.

Change the data type of the TempCelsius column to Integer



B.

Disable the Power Query load.


Explanation:
Disable Power Query load.
Power Query queries that are intended support data integration with other queries should
not be loaded to the model. To avoid loading the query to the model, take care to ensure
that you disable query load in these instances.
Reference:
https://docs.microsoft.com/en-us/power-bi/guidance/import-modeling-datareduction#
disable-power-query-query-load



Question # 6

In Power Bi Desktop, you are creating visualizations in a report based on an imported
dataset
You need to allow Power Bi users to export the summarized data used to create the
visualizations but prevent the users from exporting the underlying data
What should you do?

A.

From Power BI Desktop, configure the Data Load settings for the current file.

B.

From the Power BI service, configure the dataset permissions.

C.

From Power BI Desktop, configure the Report settings for the current file.

D.

From Power BI Desktop, modify the data source permissions.



B.

From the Power BI service, configure the dataset permissions.




Question # 7

You have a folder that contains 100 CSV files.
You need to make the file metadata available as a single dataset by using Power Bi The solution must NOT store the data of the CSV files.
Which three actions should you perform in sequence. To answer, mow the appropriate actions from the list of actions to the answer area and arrange them m the correct order.
NOTE; More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.



Question # 8

You need to provide a solution to provide the sales managers with the required access. What should you include in the solution?

A.

Create a security role that has a table filter on the Sales_Manager table where
username = UserName()

B.

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

C.

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

D.

Create a security role that has a table filter on the Sales_Manager table where



A.

Create a security role that has a table filter on the Sales_Manager table where
username = UserName()


Answer: A
Explanation: https://powerbi.microsoft.com/en-us/blog/using-username-in-dax-with-rowlevel-
security/



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Microsoft PL-300 Exam Dumps

Exam Name: Microsoft Power BI Data Analyst
Certification Name: Microsoft Certified: Power BI Data Analyst Associate

Microsoft PL-300 exam dumps are created by industry top professionals and after that its also verified by expert team. We are providing you updated Microsoft Power BI Data Analyst exam questions answers. We keep updating our Microsoft Certified: Power BI Data Analyst Associate practice test according to real exam. So prepare from our latest questions answers and pass your exam.

  • Total Questions: 373
  • Last Updation Date: 22-Oct-2024
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