NEWEST MICROSOFT VALID REAL PL-300 EXAM OFFER YOU ACCURATE DOWNLOAD DEMO | MICROSOFT POWER BI DATA ANALYST

Newest Microsoft Valid Real PL-300 Exam offer you accurate Download Demo | Microsoft Power BI Data Analyst

Newest Microsoft Valid Real PL-300 Exam offer you accurate Download Demo | Microsoft Power BI Data Analyst

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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 (Q315-Q320):

NEW QUESTION # 315
You have two Azure SQL databases that contain the same tables and columns.
For each database, you create a query that retrieves data from a table named Customers.
You need to combine the Customer tables into a single table. The solution must minimize the size of the data model and support scheduled refresh in powerbi.com.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Graphical user interface, text Description automatically generated with medium confidence

Box 1: Append Queries as New.
There are two primary ways of combining queries: merging and appending.
* When you have one or more columns that you'd like to add to another query, you merge the queries.
* When you have additional rows of data that you'd like to add to an existing query, you append the query.
Box 2: Disable loading the query to the data model
For every query that loads into model memory will be consumed. and Memory is our asset in the Model, less memory consumption leads to better performance in most of the cases. The best approach is to disable loading.
Reference:
https://docs.microsoft.com/en-us/power-query/append-queries
https://community.powerbi.com/t5/Power-Query/Append-vs-Append-as-new-for-performance/td-p/1822710


NEW QUESTION # 316
You build a report about warehouse inventory dat
a. The dataset has more than 10 million product records from 200 warehouses worldwide. You have a table named Products that contains the columns shown in the following table.

Warehouse managers report that it is difficult to use the report because the report uses only the product name in tables and visuals. The product name is contained within the ProductDescription column and is always the fourth value.
You need to modify the report to support the warehouse managers requirement to explore inventory levels at different levels of the product hierarchy. The solution must minimize the model size.
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:

1 - Create a product hierarchy of Manufacturer, ProductSpecifications, ProductName, ProductSubcategory, and ProductCategory.
2 - Replace the use of ProductDescription in the report with the product hierarchy.
3 - Transorm the ProductDescription column to contain only the text between the first and fourth > symbol.
4 - Add the product hierarchy as an extra field in visuals where ProductDescription is used.
5 - Add a column named ProductName that contains only the text between the third and fourth > symbol in the ProductDescription column.
6 - Add a column named ProductName that contains all the text after the third > symbol in the ProductDescription column.
7 - Create a product hierarchy of ProductCategory, ProductSubcategory, Manufacturer, ProductName, and ProductSpefications.


NEW QUESTION # 317
You are creating a Microsoft Power BI data model that has the tables shown in the following table.

The Products table is related to the ProductCategory table through the ProductCategoryID column.
You need to ensure that you can analyze sales by product category.
How should you configure the relationships from Products to ProductCategory? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: One-to-many
Box 2: Both
For One-to-many relationships, the cross filter direction is always from the "one" side, and optionally from the
"many" side (bi-directional).
Note:

Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-relationships-understand


NEW QUESTION # 318
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Power BI report that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys:
Due Date
Order Date
Delivery Date
You need to support the analysis of sales over time based on all the date foreign keys.
Solution: From Power Query Editor, you rename the date query as Due Date. You reference the Due Date query twice to make the queries for Order Date and Delivery Date.
Does this meet the goal?

  • A. No
  • B. Yes

Answer: B

Explanation:
Creating two additional tables in Power Query can be a possible solution:
Remove any inactive relationships.
Consider renaming the role-playing dimension-type table to better describe its role. In the example, the Airport table is related to the ArrivalAirport column of the Flight table, so it's renamed as Arrival Airport.
Create a copy of the role-playing table, providing it with a name that reflects its role. If it's an Import table, we recommend defining a calculated table. If it's a DirectQuery table, you can duplicate the Power Query query.
In the example, the Departure Airport table was created by using the following calculated table definition.


NEW QUESTION # 319
You need to create the dataset. Which dataset mode should you use?

  • A. DirectQuery
  • B. Composite
  • C. Live connection
  • D. Import

Answer: B

Explanation:
Composite Model means now you can have a model, that very large tables of that are coming from the DirectQuery connection, without the need for importing, and small tables to be imported to be accessible quickly.


NEW QUESTION # 320
......

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