POSITIVE PL-300 FEEDBACK - MICROSOFT POWER BI DATA ANALYST REALISTIC LATEST EXAM FORMAT PASS GUARANTEED

Positive PL-300 Feedback - Microsoft Power BI Data Analyst Realistic Latest Exam Format Pass Guaranteed

Positive PL-300 Feedback - Microsoft Power BI Data Analyst Realistic Latest Exam Format Pass Guaranteed

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To pass the Microsoft PL-300 exam, candidates need to have a solid understanding of data analysis concepts, data visualization techniques, and Power BI tools and features. They must also have hands-on experience using Power BI to create reports and dashboards, and be able to use data models to analyze complex data sets.

The PL-300 certification exam is a great way for data analysts to showcase their skills and knowledge in using Microsoft Power BI. It is also a valuable credential for professionals who want to advance their career in the field of data analytics. With the growing importance of data-driven decision making, the demand for skilled data analysts is increasing rapidly. By earning the PL-300 Certification, professionals can differentiate themselves from their peers and become more attractive to potential employers.

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Microsoft Power BI Data Analyst Sample Questions (Q123-Q128):

NEW QUESTION # 123
You view a query named Transactions as shown in the following exhibit.

The query gets CSV files from a folder.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 124
Hotspot Question
You need to create a visual as shown in the following exhibit.

The indicator color for Total Sales will be based on % Growth to Last Year.
The solution must use the existing calculations only.
How should you configure the visual? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: Background color
To apply conditional formatting, select a Table or Matrix visualization in Power BI Desktop. In the Visualizations pane, right-click or select the down-arrow next to the field in the Values well that you want to format. Select Conditional formatting, and then select the type of formatting to apply.

Box 2: Rules
To format cell background or font color by rules, in the Format by field of the Background color or Font color dialog box, select Rules.

Reference:
https://docs.microsoft.com/en-us/power-bi/create-reports/desktop-conditional-table-formatting


NEW QUESTION # 125
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. 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.
  • B. Add the Weekly_Returns data to the Sales table by using related DAX functions.
  • C. 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.

Answer: C

Explanation:
Scenario: Region managers require a visual to analyze weekly sales and returns.
To relate the two tables we need a common column.
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.


NEW QUESTION # 126
You need to grant access to the business unit analysts.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: The Viewer role to the workspace
The Viewer role gives a read-only experience to its users. They can view dashboards, reports, or workbooks in the workspace, but can't browse the datasets or dataflows. Use the Viewer role wherever you would previously use a classic workspace set to "Members can only view Power BI content".
Box 2: Build
The analysts must be able to build new reports from the dataset that contains the profit and loss data.
Scenario: The reports must be made available to the board from powerbi.com.
The analysts responsible for each business unit must see all the data the board sees, except the profit and loss data, which must be restricted to only their business unit's data. The analysts must be able to build new reports from the dataset that contains the profit and loss data, but any reports that the analysts build must not be included in the quarterly reports for the board. The analysts must not be able to share the quarterly reports with anyone.
Reference:
https://www.nickyvv.com/2019/08/the-new-power-bi-workspace-viewer-role-explained.html


NEW QUESTION # 127
You have a CSV file that contains user complaints. The file contains a column named Logged. Logged contains the date and time each compliant occurred. The data in Logged is in the fol-lowing 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 first 11 characters of the Logged column.
  • B. Apply a transformation to extract the last 11 characters of the Logged column and set the data type of the new column to Date.
  • C. split the Logged column by using at as the delimiter.
  • D. Create a column by example that starts with 2018-12-31.

Answer: A

Explanation:
Explanation
According to Microsoft Certified: Power BI Data Analyst Associate , Power Query Editor is a tool that lets you connect to one or many data sources, shape and transform the data to meet your needs, then load that model into Power BI Desktop2.
One of the transformations you can perform in Power Query Editor is extract date from text, which creates a date value from a textual representation . For example, given a text column like this:
Logged
2018-12-31 at 08:59
2019-01-01 at 09:15
You can extract the date part by using the Date.FromText function with a specific format4. The result will be:
Logged
Date
2018-12-31 at 08:59
2018-12-31
2019-01-01 at 09:15
2019-01-01
This makes it possible to use a built-in date hierarchy for analysis.


NEW QUESTION # 128
......

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