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PL-300 Valid Study Plan, PL-300 Preparation Store

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Microsoft PL-300 Certification Exam is designed to test the skills and knowledge of professionals who work with Microsoft Power BI. Microsoft Power BI Data Analyst certification confirms that the candidate has the ability to analyze data using Power BI, create compelling visualizations, and efficiently communicate insights to stakeholders.

To become certified as a Microsoft Power BI Data Analyst, individuals must pass the PL-300 exam. Microsoft Power BI Data Analyst certification is a valuable credential for professionals who work in the field of data analytics and business intelligence. It demonstrates that the individual has the necessary skills to work with Power BI to analyze and visualize data, and to create effective reports and dashboards. Microsoft Power BI Data Analyst certification can help individuals advance their careers by demonstrating their expertise in the field and increasing their credibility with potential employers. Additionally, the certification can help organizations identify individuals who have the necessary skills to work with Power BI and who can help them make data-driven decisions.

Microsoft Power BI Data Analyst Sample Questions (Q378-Q383):

NEW QUESTION # 378
You have a power BI tenant that hosts the datasets shown in the following table.

You have the following requirements:
* The export of reports that contain Personally Identifiable Information (Pll) must be prevented.
* Data used for financial decisions must be reviewed and approved before use.
For each of the following statements, select Yes if the statement is true. Otherwise select No. NOTE: Each correct selection is worth one point

Answer:

Explanation:

NEW QUESTION # 379
You use Power Query Editor to review a query that contains a column named Country.
You need to view the following information in the Data preview view for the Country column:
* The percentage of values that contain errors.
* The count of empty values.
What should you enable? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 380
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. Create a horizontal line that has a fixed value of 24,000.
B. Add a measure to the visual that uses the following DAX expression.
Measure - PERCENTUEX.EXC (Sales,Sales[Total Sales],0.40)
C. Add a measure to the visual that uses the following DAX expression.
Measure = PERCENTILEX.INC (Sales,Sales[Total Sales],6.40)
D. Add a new percentile line that uses Total Sales as the measure and 40% as the percentile.

Answer: D

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 # 381
You need to create a DAX measure in the data model that only allows users to see projections at the appropriate levels of granularity.
How should you complete the measure? To answer, drag the appropriate values to the correct 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.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/dax/isfiltered-function-dax

NEW QUESTION # 382
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 m 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. Add a conditional column that outputs 2018 if the Logged column starts with 2018 and set the data type of the new column to Whole Number.
B. Apply the parse function from the Date transformations options to the Logged column.
C. Create a column by example that starts with 2018-12-31.
D. Create a column by example that starts with 2018-12-31 and set the data type of the new column to Date

Answer: C

NEW QUESTION # 383
......

The goal of PL-300 preparation material is to help applicants prepare for the Microsoft Power BI Data Analyst certification exam by providing them with the Actual PL-300 Exam Questions they need to pass the exam. This Microsoft Power BI Data Analyst (PL-300) study material is in the form of practice tests and PL-300 PDF that thoroughly covers the content of the test.

PL-300 Preparation Store: https://www.lead2passed.com/Microsoft/PL-300-practice-exam-dumps.html

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