PASS GUARANTEED MICROSOFT - PL-300 - RELIABLE RELIABLE MICROSOFT POWER BI DATA ANALYST SOURCE

Pass Guaranteed Microsoft - PL-300 - Reliable Reliable Microsoft Power BI Data Analyst Source

Pass Guaranteed Microsoft - PL-300 - Reliable Reliable Microsoft Power BI Data Analyst Source

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Tags: Reliable PL-300 Source, Vce PL-300 Download, Latest PL-300 Test Blueprint, PL-300 Sample Questions Answers, Brain Dump PL-300 Free

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Microsoft PL-300 exam is intended for individuals who are data analysts, business analysts, or data professionals who specialize in data analysis and visualization. PL-300 exam is also suitable for IT professionals who want to enhance their skills in data analysis and visualization using Microsoft Power BI. PL-300 exam requires candidates to have a solid understanding of data modeling, data visualization, and data analysis concepts, as well as experience working with Power BI tools.

Passing Score, Duration & Questions For Microsoft PL-300 Exam

  • Time Duration: 180 minutes

  • Number of Questions: 40-60 questions

  • The passing score: 700

  • Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

Microsoft PL-300 Exam consists of multiple-choice questions and is designed to test your knowledge of Microsoft Power BI. PL-300 exam covers topics such as data modeling, report authoring, and dashboard creation. It is recommended that candidates have at least two years of experience working with Power BI and have completed at least one Power BI training course before attempting the exam. Successful completion of the exam leads to the Microsoft Certified: Power Platform Data Analyst Associate certification.

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Microsoft Power BI Data Analyst Sample Questions (Q406-Q411):

NEW QUESTION # 406
You plan to create the Power Bl model shown in the exhibit. (Click the Exhibit tab.) The data has the following refresh requirements:
* Customer must be refreshed daily.
* Date must be refreshed once every three years.
* Sales must be refreshed in near real time.
* SalesAggregate must be refreshed once per week.
You need to select the storage modes for the tables. The solution must meet the following requirements:

Answer:

Explanation:


NEW QUESTION # 407
You have a table that contains a column named Phone. The following is a sample of the data in the Phone column.
You need to add a new column that contains the data in the format of nnn-nnn-nnnn.
How should you complete the Query Editor formula? 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/powerquery-m/text-replace
https://docs.microsoft.com/en-us/powerquery-m/text-end


NEW QUESTION # 408
You receive revenue data that must be included in Microsoft Power Bl reports.
You perform an initial load of the data from a Microsoft Excel source as shown in the following exhibit.

You plan to create several visuals from the data, including a visual that shows revenue split by year and product.
You need to transform the data to ensure that you can build the visuals. The solution must ensure that the columns are named appropriately for the data that they contain.
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:

Step 1: Select Use Header as First Row.
Step 2: Select Department and Product and Unpivot Other Columns
Unpivot Other Columns: This command unpivots unselected columns. Use this command in a query when not all columns are known. New columns added during a refresh operation are also unpivoted.
Step 3: Rename the Attribute column to Year and the Value column to Revenue.
You might want to unpivot data, sometimes called flattening the data, to put it in a matrix format so that all similar values are in one column. This is necessary, for example, to create a chart or a report.

When you unpivot, you unpack the attribute-value pairs that represent an intersection point of the new columns and re-orient them into flattened columns:
Values (in blue on the left) are unpivoted into a new column (in blue on the right).
Attributes (in green on the left) are unpivoted into a new column (in green on the right) and duplicates are correspondingly mapped to the new Values column.
Reference:
https://support.microsoft.com/en-us/office/unpivot-columns-power-query-0f7bad4b-9ea1-49c1-9d95- f588221c7098


NEW QUESTION # 409
You have a Power Bl semantic model that contains the data sources shown in the following table.

You need to configure the privacy levels of the data sources.
What should you configure (01 each data source? To answer, select (he appropriate options in the answer area.
NOTE: Each correct answer is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 410
Topic 1, Litware, Inc. Case Study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview
Litware, Inc. is an online retailer that uses Microsoft Power Bl dashboards and reports.
The company plans to leverage data from Microsoft SQL Server databases, Microsoft Excel files, text files, and several other data sources.
Litware uses Azure Active Directory (Azure AD) to authenticate users.
- Existing Environment
Sales Data
Litware has online sales data that has the SQL schema shown in the following table.

In the Date table, the dateid column has a format of yyyymmdd and the month column has a format of yyyymm.
The week column in the Date table and the weekid column in the Weekly_Returns table have a format of yyyyww.
The regionid column can be managed by only one sales manager.
Data Concerns
You are concerned with the quality and completeness of the sales data. You plan to verify the sales data for negative sales amounts.
Reporting Requirements
Litware identifies the following technical requirements:
* Executives require a visual that shows sales by region.
* Regional managers require a visual to analyze weekly sales and returns.
* Sales managers must be able to see the sales data of their respective region only.
* The sales managers require a visual to analyze sales performance versus sales targets.
* The sale department requires reports that contain the number of sales transactions.
* Users must be able to see the month in reports as shown in the following example: Feb 2020.
* The customer service department requires a visual that can be filtered by both sales month and ship month independently.
You need to create a relationship between the Weekly_Returns table and the Date table to meet the reporting requirements of the regional managers .
What should you do?

  • A. Add the Weekly_Returns data to the Sales table by using related DAX functions.
  • B. In the Weekly.Returns table, create a new calculated column named date-id in a format of yyyymmdd and use the calculated column to create a relationship to the Date table.
  • C. Create a new table based on the Date table where date-id is unique, and then create a many-to-many relationship to Weekly_Return.

Answer: B


NEW QUESTION # 411
......

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