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Microsoft PL-300 certification exam is intended for individuals who have a strong background in data analysis and are familiar with the concepts of data modeling, data visualization, and data manipulation. PL-300 exam evaluates the knowledge of candidates in designing and building Power BI solutions, creating reports and dashboards, and managing the Power BI service.

Microsoft PL-300 exam, also known as the Microsoft Power BI Data Analyst exam, is a certification exam offered by Microsoft that evaluates the skills and knowledge of individuals in using Power BI to analyze data and create visualizations. PL-300 Exam is designed for data analysts, business intelligence professionals, and other individuals who work with data and want to demonstrate their proficiency in using Power BI to analyze data and create meaningful insights.

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Microsoft PL-300 certification exam is designed for individuals who want to prove their expertise in Microsoft Power BI. PL-300 exam is intended for data analysts who have experience in creating and managing data models, visualizing data, creating and managing reports, and managing data sources. PL-300 Exam is also intended for individuals who work with Power BI in a team environment and are involved in collaborating on reports and dashboards.

Microsoft Power BI Data Analyst Sample Questions (Q191-Q196):

NEW QUESTION # 191
You are creating a report in Power BI Desktop.
You load a data extract that includes a free text field named coll.
You need to analyze the frequency distribution of the string lengths in col1. The solution must not affect the size of the model.
What should you do?

A. In the report, add a DAX function that calculates the average length of col1
B. From Power Query Editor, add a column that calculates the length of col1
C. In the report, add a DAX calculated column that calculates the length of col1
D. From Power Query Editor, change the distribution for the Column profile to group by length for col1

Answer: D

Explanation:
Explanation
From Power Query.. highlight the column.. from the tab view select Column Profile Option.. in the Value distribution section that appears below, from the 3dots.. you can change to group by text length distribution

NEW QUESTION # 192
You plan to create the chart shown in the following exhibit.

How should you create the dashed horizontal line denoting the 40th percentile of daily sales for the period shown?

A. Add a measure to the visual that uses the following DAX expression.
Measure = PERCENTILEX.INC (Sales,Sales[Total Sales],6.40)
B. Create a horizontal line that has a fixed value of 24,000.
C. Add a new percentile line that uses Total Sales as the measure and 40% as the percentile.
D. Add a measure to the visual that uses the following DAX expression.
Measure - PERCENTUEX.EXC (Sales,Sales[Total Sales],.40)

Answer: C

Explanation:
The analytics feature enables you to show percentiles across groups specified along a specific axis.
Example:
1. Click on the analytics tab
2. Select Percentile
3. You can choose a specific percentile along with other formatting options.
4. Drag a date or non-numeric dimension into the Axis of a column chart

Add percentile lines to monitor daily revenue

NEW QUESTION # 193
Exhibit:

You need to create a report that meets the requirements:
* Visualizes the Sales value over a period of years and months
* Adds a Slicer for the month
* Adds a Slicer for the year
Which three actions Should you perform in sequence?

Answer:

Explanation:

Explanation

NEW QUESTION # 194
You are creating a sales report in Power Bl for the NorthWest region sales territory of your company. Data will come from a view in a Microsoft SQL Server database. A sample of the data is shown in the following table:

The report will facilitate the following analysis:
* The count of orders and the sum of total sales by Order Date
* The count of customers who placed an order
* The average quantity per order
You need to reduce data refresh times and report query times.
Which two actions should you perform? Each correct answer presents part of the solution NOTE: Each correct selection is worth one point.

A. Remove the CustomerKey and ProductKey columns.
B. Remove the TaxAmt and Freight columns.
C. Set the data type for SatesOrderNumber to Decimal Number
D. Fillet the data to only the NorthWest region sales territory.

Answer: B,D

NEW QUESTION # 195
You have a CSV file that contains user complaints. The file contains a column named Logged.
Logged contains the date and time each complaint occurred. The data in Logged is in the following format: 2018-12-31 at 08:59.
You need to be able to analyze the complaints by the logged date and use a built-in date hierarchy.
What should you do?

A. Split the Logged column by using at as the delimiter.
B. Apply the Parse function from the Date transformations options to the Logged column.
C. Apply a transformation to extract the last 11 characters of the Logged column and set the data type of the new column to Date.
D. Change the data type of the Logged column to Date.

Answer: A

NEW QUESTION # 196
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