PL-300 Exam Discussions & Posts
        
          
              
                Contrequarte
                        Commented on October 19, 2025  
               
               Q44: Parse command is used on XML/JSON text values. "change the data type" should be the correct answer.  
           
             GERMANY
        
          
              
                Thais
                        Commented on September 12, 2025  
               
               The questions 102 and 105 are the same  
           
             Anonymous
        
          
              
                Ashok
                        Commented on August 16, 2025  
               
               Good content.. covers all topics.  
           
             Anonymous
        
          
              
                Thais
                        Commented on August 08, 2025  
               
               Very rich content!  
           
             Anonymous
        
          
              
                xanthos
                        Commented on August 06, 2025  
               
               Q78 SAMEPERIODLASTYEAR would only be correct if the date range was in the current year.  
           
             UNITED KINGDOM
        
          
              
                Xanthos
                        Commented on August 06, 2025  
               
               Q68 Answer is incorrect. Correct answer is:
-Use first rows as headers
-Unpivot
-Rename value Measure and attribute columns  
           
             UNITED KINGDOM
        
          
              
                Gup
                        Commented on August 05, 2025  
               
               Very good exam dumps questions.  The questions and answers are accurate.  
           
             UNITED STATES
        
          
              
                ajlanemed
                        Commented on August 05, 2025  
               
               question 84 : A,B,A
 ? Summarizing Orders by the CustomerID, OrderID, and OrderDate columns will reduce the model size while still supporting current analysis.
Yes
? Summarizing the Orders table by key dimensions (CustomerID, OrderID, OrderDate) and aggregating measures like SalesTotal will reduce row-level granularity and shrink the model size. Since the analysis focuses on total sales, order counts, and customer types, detailed line items (ProductID, UnitPrice, Quantity) are not essential.
? Removing CustomerID column from Orders will reduce model size while still supporting current analysis.
No
? CustomerID is required to distinguish new vs repeat customers, which is part of the current analysis. Removing it would break that logic.
? Removing UnitPrice and Discount columns from Orders will reduce model size while still supporting current analysis.
Yes
? If the analysis does not require breakdowns by price or discount, these columns can be removed. The SalesTotal column already ref  
           
             Anonymous
        
          
              
                ganesh
                        Commented on August 04, 2025  
               
               super useful  
           
             Anonymous
        
          
              
                med
                        Commented on August 04, 2025  
               
               very helpful  
           
             Anonymous
        
          
              
                ajlanemed
                        Commented on August 04, 2025  
               
               very helpful  
           
             Anonymous
        
          
              
                ABHIJEET
                        Commented on August 03, 2025  
               
               Hi for Question 56 , You create a Power BI dataset that contains the table shown in the following exhibit.
You need to make the table available as an organizational data type in Microsoft Excel.
How should you configure the properties of the table? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer is Row label :- Name
Key column: ID
is feature table :- Yes  
           
             Anonymous
        
          
              
                ajlanemed
                        Commented on July 31, 2025  
               
               thank you for your help !  
           
             SWITZERLAND
        
          
              
                Bavi
                        Commented on July 28, 2025  
               
               Very Helpful for exam  
           
             CANADA
        
          
              
                S
                        Commented on July 28, 2025  
               
               good content 3  
           
             Anonymous
        
          
              
                Suchi
                        Commented on July 28, 2025  
               
               Good content 2  
           
             Anonymous
        
          
              
                Suchi
                        Commented on July 28, 2025  
               
               good content  
           
             Anonymous
        
          
              
                Suchi
                        Commented on July 26, 2025  
               
               great content  
           
             Anonymous
        
          
              
                Suchi
                        Commented on July 26, 2025  
               
               Great material  
           
             Anonymous
        
          
              
                Arjith
                        Commented on July 25, 2025  
               
               Really great content. very helpful  
           
             INDIA
        
          
              
                Suchi
                        Commented on July 23, 2025  
               
               Thoughtful content. Greatly helps in prep  
           
             Anonymous
        
          
              
                satyam
                        Commented on July 21, 2025  
               
               Its super helpful  
           
             UNITED STATES
        
          
              
                Peter Johansson
                        Commented on July 21, 2025  
               
               Q. 15 Agree content should be deleted, not combined. Question states only metadata should be included, not the actual data.  
           
             Anonymous
        
          
              
                Letizia
                        Commented on July 19, 2025  
               
               Answer: No
Explanation:
Adding inactive relationships alone does not meet the goal. Inactive relationships must be activated using DAX functions like USERELATIONSHIP() in measures to analyze data based on those alternate dates (e.g., Due Date, Delivery Date). Without this, Power BI will only use the active relationship (typically with Order Date), so the other date keys won't drive analysis unless explicitly handled.  
           
             ITALY
        
          
              
                FF
                        Commented on July 18, 2025  
               
               Q 63 is smart one  
           
             JORDAN
        
          
              
                Karthiga Pandian
                        Commented on July 16, 2025  
               
               For Question 64, The answer is D .
Because ,both the data will get filters based on the 2 roles for the same person  
           
             Anonymous
        
          
              
                sara gamal
                        Commented on July 13, 2025  
               
               Q176 should be 
pin visuals
open dashboard
edit mobile view
re arrange  
           
             Anonymous
        
          
              
                sara gamal
                        Commented on July 13, 2025  
               
               Q136 is wrong , it should be 
left outer
inner  
           
             Anonymous
        
          
              
                Bhavik jain
                        Commented on July 13, 2025  
               
               Q83 sequence is wrong  
           
             UNITED STATES
        
          
              
                Bhavik Jain
                        Commented on July 13, 2025  
               
               64 answer is D  
           
             UNITED STATES
        
          
              
                Bhavik Jain
                        Commented on July 13, 2025  
               
               Quesiton 58 answer is snowflake and cross filter  
           
             UNITED STATES
        
          
              
                bishal
                        Commented on July 12, 2025  
               
               these are very good questions, thank you.  
           
             INDIA
        
          
              
                Syed
                        Commented on July 03, 2025  
               
               This site is so helpfull  
           
             AUSTRIA
        
          
              
                HK
                        Commented on June 28, 2025  
               
               Very Helpful course :)  
           
             Anonymous
        
          
              
                anonymus
                        Commented on June 26, 2025  
               
               99q answer is no it will increase the data load and results in perfomance issue  
           
             INDIA
        
          
              
                MM
                        Commented on June 25, 2025  
               
               Q.137 , answer will be Run the Table.buffer function in Query1.
as Table.Buffer(Query1) forces Power Query to:
Evaluate the table once
Cache it in memory, and then reuse it in all references
This can significantly improve refresh performance  
           
             INDIA
        
          
              
                Ed
                        Commented on June 23, 2025  
               
               Q52 answer should be Admin  
           
             MALAYSIA
        
          
              
                Durval
                        Commented on June 20, 2025  
               
               A resposta está errada, visto que  o campo "Command timeout" está em branco, o Power BI usará o valor padrão, que é:
?? unlimited (sem tempo limite definido).
Referência: Power BI só considera um timeout quando explicitamente configurado.
?? 2. The Navigator will display...
Como a opção “Navigate using full hierarchy” não foi marcada, o comportamento padrão do Navegador (tela que aparece após a conexão com a base) será:
?? all the tables (todas as tabelas).
Se a opção estivesse marcada, ele exibiria as tabelas com hierarquias.
? Respostas Corretas:
The default timeout... ? unlimited
The Navigator will display... ? all the tables  
           
             BRAZIL
        
          
              
                Revilo
                        Commented on June 19, 2025  
               
               Q60 correct answer:
1. Import data into Power BI Desktop
2. Create Role Def
3. Publish Report
4. Assign users to role
You add users to roles inside the Power BI service so Publishing comes before assigning users to the roles.  
           
             GERMANY
        
          
              
                Revilo
                        Commented on June 18, 2025  
               
               Q34 should be Odata Feed, not Odata Queries. It asks which connector. There is no Odata Queries connector in Power BI.  
           
             UNITED KINGDOM
        
          
              
                Revilo
                        Commented on June 18, 2025  
               
               Q15 should be remove the Content column, not combine.  
           
             UNITED KINGDOM
        
          
              
                Akhigbe A.A.
                        Commented on June 17, 2025  
               
               I think question 15 steps should be 
1. From Power BI Desktop, select Get Data, and then select Folder.
2. From Power Query Editor, remove the Content column.
3. From Power Query Editor, expand the Attributes column  
           
             Anonymous
        
          
              
                AnonyBR
                        Commented on June 15, 2025  
               
               Q167:
1 - adding more fields to Explain by
2 - answer 3 = 0.3/0.1  
           
             Anonymous
        
          
              
                anonyBR
                        Commented on June 15, 2025  
               
               q139
Sales Qualification = 
IF (
    'Opportunity'[Qualification] < 0.5,
    "Low",
    IF (
        'Opportunity'[Qualification] > 0.7,
        "High",
        "Medium"
    )
)  
           
             Anonymous
        
          
              
                anonyBR
                        Commented on June 15, 2025  
               
               q136
| Operação                    | Join Type      |
| --------------------------- | -------------- |
| Join Customers with Address | **Left outer** |
| Join Address with Country   | **Inner**      |  
           
             Anonymous
        
          
              
                Cris
                        Commented on June 15, 2025  
               
               Q-154: I would say SUM - FILTER  
           
             ROMANIA
        
          
              
                anonyBR
                        Commented on June 15, 2025  
               
               Q103
Percent of Product Sales =
VAR ProductSales = SUM ( 'Sales'[Sales] )
VAR AllSales =
    CALCULATE (
        SUM ( 'Sales'[Sales] ),
        ALLSELECTED ( 'Products'[Product] )
    )
RETURN
    DIVIDE ( ProductSales, AllSales )  
           
             Anonymous
        
          
              
                anonyBR
                        Commented on June 15, 2025  
               
               q93:
Transaction Size = 
VAR SalesTotal = 'Sales'[Sales Amount]
VAR FilterSegment =
    FILTER (
        'Transaction Size',
        'Transaction Size'[Min] <= SalesTotal &&
        'Transaction Size'[Max] >= SalesTotal
    )
VAR Result =
    CALCULATE (
        DISTINCT ( 'Transaction Size'[Transaction Size] ),
        FilterSegment
    )
RETURN Result  
           
             Anonymous
        
          
              
                Anony
                        Commented on June 15, 2025  
               
               Q91:
Yes
Sales by Delivery Date :=
CALCULATE (
    SUM ( Sales[Amount] ),
    USERELATIONSHIP ( Sales[DeliveryDate], 'Date'[Date] )
)  
           
             Anonymous
        
          
              
                Anony
                        Commented on June 14, 2025  
               
               q83:
Use First Row as Headers
Select Department and Product and Unpivot Other Columns
Rename the Attribute column to Year and the Value column to Revenue  
           
             Anonymous