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The Microsoft PL-300 exam focuses on several key areas, including data modeling, visualization, data analysis expressions (DAX), and data transformation. Candidates will be tested on their ability to create and manage data models, design and develop visualizations, use DAX to create custom calculations, and transform data using Power Query. PL-300 Exam also covers advanced topics such as creating and using advanced visuals, designing and implementing security and compliance, and integrating Power BI with other Microsoft products.

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Microsoft Power BI Data Analyst Sample Questions (Q235-Q240):

NEW QUESTION # 235
You have the visual shown in the Original exhibit. {Click the Original tab.)

You need to configure the visual as shown in the Modified exhibit. (Click the Modified tab.)

What should you add to the visual?

A. a forecast
B. a measure
C. a trendline
D. an Average line

Answer: A

Explanation:
Explore forecast results by adjusting the desired confidence interval or by adjusting outlier data to see how they affect results.
Timeline Description automatically generated with low confidence
Reference:
https://powerbi.microsoft.com/fr-fr/blog/introducing-new-forecasting-capabilities-in-power-view-for-office-
365/

NEW QUESTION # 236
You are creating a Power Bi model and report.
You have a single table in a data mode) named Product Product contains the following fields:
* ID
* Name
* Color
* Category
* Total Sales
You need to create a calculated table that shows only the top eight products based on the highest value in Total Sales.
How should you complete the DAX expression? To answer, drag the appropriate values to the coned targets.
Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

Answer:

Explanation:

Explanation:

NEW QUESTION # 237
You have a dataset named Pens that contains the following columns:
* Item
* Unit Price
* Quantity Ordered
You need to create a visualization that shows the relationship between Unit Price and Quantity Ordered. The solution must highlight orders that have a similar unit price and ordered quantity.
Which type of visualization and which feature should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: A scatter plot...
A scatter chart always has two value axes to show: one set of numerical data along a horizontal axis and another set of numerical values along a vertical axis. The chart displays points at the intersection of an x and y numerical value, combining these values into single data points. Power BI may distribute these data points evenly or unevenly across the horizontal axis. It depends on the data the chart represents.
Box 2: Automatically find clusters
Scatter charts are a great choice to show patterns in large sets of data, for example by showing linear or non- linear trends, clusters, and outliers.
Reference:
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-scatter

NEW QUESTION # 238
You have a query named Customer that imports CSV files from a data lake. The query contains 500 rows as shown in the exhibit. (Click the Exhibit tab.)

Each file contains deltas of any new or modified rows from each load to the data lake. Multiple files can have the same customer ID.
You need to keep only the last modified row for each customer ID.
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.

Answer:

Explanation:

1 - Duplicate Customer query
2 - Group by CustId by Max ModifiedDate (only 2 columns to keep)
3 - Merge two queries on CustId and ModifiedDate inner join (to retreive other customer informations related to latest Date)

NEW QUESTION # 239
You have a Power Bi report for the procurement department. The report contains data from the following tables.

There is a one-to-many relationship from Suppliers to Lineitems that uses the ID and Supplier ID columns.
The report contains the visuals shown in the following table.

You need to minimize the size of the dataset without affecting the visuals. What should you do?

A. Remove the Lineitems[Description] column.
B. Merge Suppliers and Uneltems.
C. Remove the rows from Lineitems where LineItems[invoice Date] is before the beginning of last month
D. Group Lineltems by Lineitems[ invoice id) and Lineitems[invoice Date) with a sum of Lineitems(price).

Answer: A

NEW QUESTION # 240
......

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