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Passing the Microsoft PL-300 certification exam demonstrates that an individual has the skills and knowledge required to work with Power BI effectively. It is also an excellent way to showcase one's expertise in data analysis and visualization to potential employers. Microsoft Power BI Data Analyst certification can help individuals stand out in a competitive job market and can lead to new job opportunities and career growth.

Microsoft PL-300 certification exam is designed to test an individual's ability to work effectively with Microsoft's Power BI platform. PL-300 exam is intended for those who are seeking to become certified data analysts, and who wish to demonstrate their expertise in using Power BI to analyze data and create reports. The PL-300 exam is part of Microsoft's Data and AI certification track, and is a prerequisite for some of the more advanced certifications in this area.

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Microsoft Power BI Data Analyst Sample Questions (Q290-Q295):

NEW QUESTION # 290
You need to create a visualization to meet the reporting requirements of the sales managers.
How should you create the visualization? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

Scenario: The sales managers require a visual to analyze sales performance versus sales targets.
Box 1: KPI
A Key Performance Indicator (KPI) is a visual cue that communicates the amount of progress made toward a measurable goal.
Box 2: Sales[sales_amount]
Box 3: Date[month]
Time > FiscalMonth. This value will represent the trend.
Box 4: Targets[sales_target]
Reference:
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-kpi

NEW QUESTION # 291
You are creating a quick measure as shown in the following exhibit.

You need to create a monthly rolling average measure for Sales over time-How should you configure the quick measure calculation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-quick-measures

NEW QUESTION # 292
You are building a Power BI report to analyze customer segments.
You need to identify customer segments dynamically based on the Bounce Rate across dimensions such as source, geography, and demographics. The solution must minimize analysis effort.
Which type of visualization should you use?

A. key influencers
B. Q&A
C. decomposition tree
D. funnel chart

Answer: C

Explanation:
Explanation
The key influencers visual is a great choice if you want to:
See which factors affect the metric being analyzed.
Contrast the relative importance of these factors. For example, do short-term contracts affect churn more than long-term contracts?
Note: The key influencers visual helps you understand the factors that drive a metric you're interested in. It analyzes your data, ranks the factors that matter, and displays them as key influencers. For example, suppose you want to figure out what influences employee turnover, which is also known as churn. One factor might be employment contract length, and another factor might be commute time.
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-influencers

NEW QUESTION # 293
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 new percentile line that uses Total Sales as the measure and 40% as the percentile.
B. Add a measure to the visual that uses the following DAX expression.
Measure - PERCENTUEX.EXC (Sales,Sales[Total Sales],.40)
C. Create a horizontal line that has a fixed value of 24,000.
D. Add a measure to the visual that uses the following DAX expression.Measure = PERCENTILEX.INC (Sales,Sales[Total Sales],6.40)

Answer: A

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 # 294
You need to create a measure that will return the percentage of late orders.
How should you complete the DAX expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Graphical user interface, application Description automatically generated

Box 1: CALCULATE
CALCULATE evaluates an expression in a modified filter context.
Syntax: CALCULATE(<expression>[, <filter1> [, <filter2> [, ...]]])
Expression - The expression to be evaluated.
filter1, filter2,... (Optional) Boolean expressions or table expressions that defines filters, or filter modifier functions.
Box 2: FILTER
FILTER returns a table that represents a subset of another table or expression.
Syntax: FILTER(<table>,<filter>)
Table- The table to be filtered. The table can also be an expression that results in a table.
Filter - A Boolean expression that is to be evaluated for each row of the table. For example, [Amount] > 0 or
[Region] = "France"
Box 3: Orders[ShippedDate]> Orders[RequiredDate]
Northwind Traders defines late orders as those shipped after the required shipping date.
Reference:
https://docs.microsoft.com/en-us/dax/calculate-function-dax
https://docs.microsoft.com/en-us/dax/filter-function-dax

NEW QUESTION # 295
......

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