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Microsoft PL-300 Certification Exam is an essential credential for individuals who are interested in advancing their careers in the field of data analysis. Microsoft Power BI Data Analyst certification validates an individual's skills and knowledge in Power BI data models, data manipulation, and data visualization. By obtaining this certification, professionals can demonstrate their expertise in Power BI and stand out in a competitive job market.

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Microsoft PL-300 exam is designed for those who are looking to validate their skills and knowledge in Microsoft Power BI Data Analysis. Microsoft Power BI Data Analyst certification exam is highly sought after by professionals who want to demonstrate their proficiency in Power BI and stand out in their career. PL-300 exam is intended for individuals who work with data models, reports, dashboards, and visualizations in Power BI.

The Microsoft PL-300 Exam covers a range of topics, including data modeling, DAX, data transformation, and visualization. Candidates will be tested on their ability to work with various data sources, including Excel, SQL Server, and the cloud. They will also be expected to understand how to use Power BI with other Microsoft products, such as Power Apps and Power Automate.

Microsoft Power BI Data Analyst Sample Questions (Q40-Q45):

NEW QUESTION # 40
You are building a dataset from a JSON file that contains an array of documents.
You need to import attributes as columns from all the documents in the JSON file. The solution must ensure that date attributes can be used as date hierarchies in Microsoft Power BI reports.
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:

Explanation:
1- Convert list to table
2- Expand Column
3- Set Date type
Here is an example: https://youtu.be/B4kzyxnhQfI
The definition of the function which expand columns:
https://docs.microsoft.com/en-us/powerquery-m/table-expandrecordcolumn

NEW QUESTION # 41
You are creating an analytics report that will consume data from the tables shown in the following table.

There is a relationship between the tables.
There are no reporting requirements on employeejd and employee_photo.
You need to optimize the data model
What should you configure for employeejd and employee.photo? To answer, select the appropriate options in the answer area.

Answer:

Explanation:

Reference:
https://tessellationtech.io/optimizing-power-bi-reports/

NEW QUESTION # 42
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. Apply a transformation to extract the last 11 characters of the Logged column and set the data type of the new column to Date.
B. Change the data type of the Logged column to Date.
C. Split the Logged column by using at as the delimiter.
D. Apply a transformation to extract the first 11 characters of the Logged column.

Answer: C

Explanation:
Simply create a custom table in Power Query, enter the date shown in the question into a column called Date, and then Split it by a delimiter. No need for spaces on either side of "at" Power BI takes care of the rest:
= Table.SplitColumn(#"Changed Type", "Date", Splitter.SplitTextByDelimiter("at", QuoteStyle.Csv),
{"Date.1", "Date.2"})
It will even automatically change the type to Date:
= Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Date.1", type date}, {"Date.2", type time}})

NEW QUESTION # 43
You need to create the required relationship for the executive's visual. What should you do before you can create the relationship?

A. Change the data type of sales [region_id] to Decimal Number.
B. Change the data type of sales[sales_id] to Text.
C. Change the data type of Sales[region_id] to Whole Number.
D. In the Sales table, add a measure for sum(sales_amount).

Answer: C

Explanation:
Explanation
Scenario: Executives require a visual that shows sales by region.
Need to change the sales_id column from Varchar to Whole Number (Integer).

NEW QUESTION # 44
Note: This question is a part of a series of questions that present the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You have a Microsoft SQL Server database that has the tables shown in the Database Diagram exhibit. (Click the Exhibit.)

You plan to develop a Power BI model as shown in the Power BI Model exhibit. (Click the Exhibit).

You plan to use Power BI to import data from 2013 to 2015.
Product Subcategory [Subcategory] contains NULL values.
End of repeated scenario.
You implement the Power BI model.
You need to add a measure to rank total sales by product. The results must appear as shown in the following table.

Which DAX formula should you use?

A. Product Ranking= RANKX (ALL, ('Product'), [SalesAmount], , DESC, Skip)
B. Product Ranking= RANKX (ALL ('Product'), [SalesAmount], , Asc, Dense
C. Product Ranking= RANKX (Product, [SalesAmount], , DESC, Skip)
D. Product Ranking= RANKX (ALL, ('Product'), [SalesAmount], , DESC, Dense)

Answer: D

Explanation:
Explanation
References: https://msdn.microsoft.com/en-us/library/gg492185.aspx

NEW QUESTION # 45
......

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2025 100% Free PL-300–100% Free Frequent Updates | Vce Microsoft Power BI Data Analyst Exam

Vce PL-300 Exam | Latest PL-300 Test Practice

Microsoft Power BI Data Analyst Sample Questions (Q40-Q45):

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