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Microsoft PL-300 Exam Practice Questions (P. 5)

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Question #41
HOTSPOT -
You have a Power BI report.
You have the following tables.

You have the following DAX measure.
Accounts :=
CALCULATE (
DISTINCTCOUNT (Balances[AccountID]),
LASTDATE ('Date'[Date])
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:


Correct Answer:

 Box 1: No -
It will show the total number of accounts that were live at the last day of the year only.
Note:
DISTINCTCOUNT counts the number of distinct values in a column.
LASTDATE returns the last date in the current context for the specified column of dates.

Box 2: No -
It will show the total number of accounts that were live at the last day of the month only.

Box 3: Yes -
Reference:
https://docs.microsoft.com/en-us/dax/distinctcount-function-dax https://docs.microsoft.com/en-us/dax/lastdate-function-dax

Question #42
You have the tables shown in the following table.

The Impressions table contains approximately 30 million records per month.
You need to create an ad analytics system to meet the following requirements:
✑ Present ad impression counts for the day, campaign, and site_name. The analytics for the last year are required.
Minimize the data model size.

Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
  1. A
    Create one-to-many relationships between the tables.
  2. B
    Group the Impressions query in Power Query by Ad_id, Site_name, and Impression_date. Aggregate by using the CountRows function.
  3. C
    Create a calculated table that contains Ad_id, Site_name, and Impression_date.
  4. D
    Create a calculated measure that aggregates by using the COUNTROWS function.

Correct Answer:
AB
Incorrect:
Not C: A calculated table would increase the data model size.
Not D: Need Impression_date etc.

Question #43
HOTSPOT -
You are creating a Microsoft Power BI data model that has the tables shown in the following table.

The Products table is related to the ProductCategory table through the ProductCategoryID column. Each product has one product category.
You need to ensure that you can analyze sales by product category.
How should you configure the relationship from ProductCategory to Products? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:


Correct Answer:

 Box 1: One-to-many -
The one-to-many and many-to-one cardinality options are essentially the same, and they're also the most common cardinality types.
Incorrect: A many-to-many relationship means both columns can contain duplicate values. This cardinality type is infrequently used. It's typically useful when designing complex model requirements. You can use it to relate many-to-many facts or to relate higher grain facts. For example, when sales target facts are stored at product category level and the product dimension table is stored at product level.

Box 2: Single -
Incorrect:
Bear in mind that bi-directional relationships can impact negatively on performance. Further, attempting to configure a bi-directional relationship could result in ambiguous filter propagation paths. In this case, Power BI Desktop may fail to commit the relationship change and will alert you with an error message.
Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-relationships-understand

Question #44
You import a Power BI dataset that contains the following tables:
✑ Date
✑ Product
✑ Product Inventory
The Product Inventory table contains 25 million rows. A sample of the data is shown in the following table.

The Product Inventory table relates to the Date table by using the DateKey column. The Product Inventory table relates to the Product table by using the
ProductKey column.
You need to reduce the size of the data model without losing information.
What should you do?
  1. A
    Change Summarization for DateKey to Don't Summarize.
  2. B
    Remove the relationship between Date and Product Inventory
  3. C
    Change the data type of UnitCost to Integer.
  4. D
    Remove MovementDate.

Correct Answer:
A
The DateKey and MovementDate columns have the same information. Movementdate can be removed.
Incorrect:
Not C: Integer data type would lose data.

Question #45
HOTSPOT -
You are enhancing a Power BI model that has DAX calculations.
You need to create a measure that returns the year-to-date total sales from the same date of the previous calendar year.
Which DAX functions should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:


Correct Answer:

 Box 1: CALCULATE -
Example:
Total sales on the last selected date =
CALCULATE (
SUM ( Sales[Sales Amount] ),
'Sales'[OrderDateKey] = MAX ( 'Sales'[OrderDateKey] )
)

Box 2: SUM -

Box 3: SAMEPERIODLASTYEAR -
SAMEPERIODLASTYEAR returns a set of dates in the current selection from the previous year.
Example:
-- SAMEPERIODLASTYEAR returns the selected period shifted back one year.

EVALUATE -
VAR StartDate = DATE ( 2008, 07, 25 )
VAR EndDate = DATE ( 2008, 07, 31 )

RETURN -
CALCULATETABLE (
SAMEPERIODLASTYEAR ( 'Date'[Date] ),
'Date'[Date] >= StartDate &&
'Date'[Date] <= EndDate
)
ORDER BY [Date]
Reference:
https://docs.microsoft.com/en-us/dax/calculate-function-dax
https://dax.guide/sameperiodlastyear/

Question #46
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are modeling data by using Microsoft Power BI. Part of the data model is a large Microsoft SQL Server table named Order that has more than 100 million records.
During the development process, you need to import a sample of the data from the Order table.
Solution: You add a report-level filter that filters based on the order date.
Does this meet the goal?
  1. A
    Yes
  2. B
    No

Correct Answer:
B
You want the raw data, not a report with the data.
Instead add a WHERE clause to the SQL statement.
Reference:
https://docs.microsoft.com/en-us/power-query/native-database-query

Question #47
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Power BI report that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys:
✑ Due Date
✑ Order Date
✑ Delivery Date
You need to support the analysis of sales over time based on all the date foreign keys.
Solution: For each date foreign key, you add inactive relationships between the sales table and the date table.
Does this meet the goal?
  1. A
    Yes
  2. B
    No

Correct Answer:
B
Instead: Solution: From the Fields pane, you rename the date table as Due Date. You use a DAX expression to create Order Date and Delivery Date as calculated tables.
Reference:
https://docs.microsoft.com/en-us/power-bi/guidance/relationships-active-inactive

Question #48
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Power BI report that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys:
✑ Due Date
✑ Order Date
✑ Delivery Date
You need to support the analysis of sales over time based on all the date foreign keys.
Solution: From Power Query Editor, you rename the date query as Due Date. You reference the Due Date query twice to make the queries for Order Date and
Delivery Date.
Does this meet the goal?
  1. A
    Yes
  2. B
    No

Correct Answer:
B
Instead: Solution: From the Fields pane, you rename the date table as Due Date. You use a DAX expression to create Order Date and Delivery Date as calculated tables.
Reference:
https://docs.microsoft.com/en-us/power-bi/guidance/relationships-active-inactive

Question #49
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Power BI report that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys:
✑ Due Date
✑ Order Date
✑ Delivery Date
You need to support the analysis of sales over time based on all the date foreign keys.
Solution: From the Fields pane, you rename the date table as Due Date. You use a DAX expression to create Order Date and Delivery Date as calculated tables.
Does this meet the goal?
  1. A
    Yes
  2. B
    No

Correct Answer:
A
Refactoring methodology -
Here's a methodology to refactor a model from a single role-playing dimension-type table, to a design with one table per role.
1. Remove any inactive relationships.
2. Consider renaming the role-playing dimension-type table to better describe its role. In the example (not present here), the Airport table is related to the
ArrivalAirport column of the Flight table, so it's renamed as Arrival Airport.
3. 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.
In the example, the Departure Airport table was created by using the following calculated table definition.
Departure Airport = 'Arrival Airport'
Create an active relationship to relate the new table.
4. Consider renaming the columns in the tables so they accurately reflect their role. In the example, all columns are prefixed with the word Departure or Arrival.
These names ensure report visuals, by default, will have self-describing and non-ambiguous labels. It also improves the Q&A experience, allowing users to easily write their questions.
5. Consider adding descriptions to role-playing tables. (In the Fields pane, a description appears in a tooltip when a report author hovers their cursor over the table.) This way, you can communicate any additional filter propagation details to your report authors.
Reference:
https://docs.microsoft.com/en-us/power-bi/guidance/relationships-active-inactive

Question #50
DRAG DROP -
You receive revenue data that must be included in Microsoft Power BI reports.
You preview the data from a Microsoft Excel source in Power Query as shown in the following exhibit.

You plan to create several visuals from the data, including a visual that shows revenue split by year and product.
You need to transform the data to ensure that you can build the visuals. The solution must ensure that the columns are named appropriately for the data that they contain.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:


Correct Answer:

 Step 1: Select Department and Product and Unpivot Other Columns
The Unpivot Other Columns command unpivots unselected columns. Use this command in a query when not all columns are known. New columns added during a refresh operation are also unpivoted.
Note: Unpivot columns: In Power Query, you can transform columns into attribute-value pairs, where columns become rows.

Step 2: Rename the Attribue column to Year and the Value Column to Revenue
Need to do this after the unpivot.
Power Query will always create the attribute-value pair by using two columns:
Attribute: The name of the column headings that were unpivoted.
Value: The values that were underneath each of the unpivoted column headings.
Step 3: Select Use the First Row as Headers
Reference:
https://docs.microsoft.com/en-us/power-query/unpivot-column

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