PASS GUARANTEED NEWEST MICROSOFT - PL-300 - MICROSOFT POWER BI DATA ANALYST EXAM QUICK PREP

Pass Guaranteed Newest Microsoft - PL-300 - Microsoft Power BI Data Analyst Exam Quick Prep

Pass Guaranteed Newest Microsoft - PL-300 - Microsoft Power BI Data Analyst Exam Quick Prep

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Tags: PL-300 Exam Quick Prep, PL-300 Latest Exam Review, Advanced PL-300 Testing Engine, Latest PL-300 Exam Review, PL-300 New Study Notes

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Microsoft PL-300 exam evaluates the ability to design and create Power BI reports, dashboards, and visualizations. PL-300 exam also covers data analysis, data modeling, and data transformation using Power Query. Candidates will be tested on their knowledge of Power BI architecture, security, and administration. PL-300 Exam also emphasizes the importance of collaboration and sharing insights with stakeholders and colleagues.

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Expert-Verified Microsoft PL-300 Exam Questions for Reliable Preparation

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The PL-300 Exam is an ideal certification for data analysts, business intelligence professionals, and other data-focused roles within an organization. With the increasing importance of data-driven decision making, the demand for professionals with strong Power BI skills is also on the rise.

Microsoft Power BI Data Analyst Sample Questions (Q168-Q173):

NEW QUESTION # 168
You have a Power BI model that has the following tables:
Product (Product_id, Product_Name)
Sales (Order_id, Order_Date, Product_id, Salesperson_id, Sales_Amount)
Salesperson (Salesperson_id, Salesperson_name, address)
You plan to create the following measure.
Measure1 = DISTINCTCOUNT(Sales[ProductID])
You need to create the following relationships:
Sales to Product
Sales to Salesperson
The solution must ensure that you can use Measure1 to display the count of products sold by each salesperson.
How should you configure the relationships? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 169
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. Apply the parse function from the Date transformations options to the Logged column.
  • B. Create a column by example that starts with 2018-12-31.
  • C. 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.
  • D. Create a column by example that starts with 2018-12-31 and set the data type of the new column to Date

Answer: B


NEW QUESTION # 170
You have a Microsoft Power BI data model that contains three tables named Sales, Product, and Date.
The Sales table has an existing measure named [Total Sales] that sums the total sales from the Sales table.
You need to write a calculation that returns the percentage of total sales that a selected ProductCategoryName value represents. The calculation must respect any slicers on ProductCategoryName and must show the percentage of visible total sales. For example, if there are four ProductCategoryName values, and a user filters one out, a table showing ProductCategoryName and the calculation must sum up to 100 percent.
How should you complete the calculation? 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/allselected-function-dax


NEW QUESTION # 171
You are creating a sales report in Power Bl for the NorthWest region sales territory of your company. Data will come from a view in a Microsoft SQL Server database. A sample of the data is shown in the following table:

The report will facilitate the following analysis:
* The count of orders and the sum of total sales by Order Date
* The count of customers who placed an order
* The average quantity per order
You need to reduce data refresh times and report query times.
Which two actions should you perform? Each correct answer presents part of the solution NOTE: Each correct selection is worth one point.

  • A. Remove the CustomerKey and ProductKey columns.
  • B. Remove the TaxAmt and Freight columns.
  • C. Fillet the data to only the NorthWest region sales territory.
  • D. Set the data type for SatesOrderNumber to Decimal Number

Answer: B,C


NEW QUESTION # 172
You have the Power BI data model shown in the following exhibit.

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 # 173
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