DP-600 practice questions 21–30

1. Question 21 · 190 in bank

   HOTSPOT - You have a Fabric tenant. You plan to create a Fabric notebook that will use Spark DataFrames to generate Microsoft Power BI visuals. You run the following code.

   

   For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   Answer is No, Yes, Yes The code is displaying a summary of the data frame using the visualizations. Point 3 is a technicality and I think to some extent depends on your interpretation of the question. I am going with Yes.

   Source: Adapted from community discussion — TashaP

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

   

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2. Question 22 · 190 in bank

   You have a Microsoft Power BI Premium Per User (PPU) workspace that contains a semantic model. You have an Azure App Service app named App1 that modifies row-level security (RLS) for the model by using the XMLA endpoint. App1 requires users to sign in by using their Microsoft Entra credentials to access the XMLA endpoint. You need to configure App1 to use a service account to access the model. What should you do first?

   • AAdd a managed identity to the workspace.
   • BModify the XMLA Endpoint setting.
   • CUpgrade the workspace to Premium capacity.
   • DAdd a managed identity to App1.

   Show answer

   Answer: D

   Explanation

   Adding a managed identity to App1 will allow it to authenticate and access resources securely without needing to manage credentials explicitly. This is the first step in configuring the app to use a service account for accessing the model via the XMLA endpoint.

   Source: Adapted from community discussion — MultiCloudIronMan

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3. Question 23 · 190 in bank

   HOTSPOT - You have a Fabric tenant that contains a warehouse named WH1. You have source data in a CSV file that has the following fields: • SalesTransactionID • SaleDate • CustomerCode • CustomerName • CustomerAddress • ProductCode • ProductName • Quantity • UnitPrice You plan to implement a star schema for the tables in WH1. The dimension tables in WH1 will implement Type 2 slowly changing dimension (SCD) logic. You need to design the tables that will be used for sales transaction analysis and load the source data. Which type of target table should you specify for the CustomerName, CustomerCode, and SaleDate fields? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   Fact tables record the "events" or "transactions" that you want to analyze. SaleDate represents the date of a sales transaction, which is a key aspect of the event itself. Answer : Dim, Dim, Fact

   Source: Adapted from community discussion — abhijitger12

   

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4. Question 24 · 190 in bank

   HOTSPOT - You have a Fabric tenant that contains a warehouse named Warehouse1. Warehouse1 contains a fact table named FactSales that has one billion rows. You run the following T-SQL statement. CREATE TABLE test.FactSales AS CLONE OF dbo.FactSales; For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   Yes, No, No REF https://learn.microsoft.com/en-us/sql/t-sql/statements/create-table-as-clone-of-transact-sql?view=fabric&preserve-view=true Creates a new table as a zero-copy clone of another table in Warehouse in Microsoft Fabric. Only the metadata of the table is copied. The underlying data of the table, stored as parquet files, is not copied. REF https://learn.microsoft.com/en-us/fabric/data-warehouse/clone-table Separate and independent Upon creation, a table clone is an independent and separate copy of the data from its source. Any changes made through DML or DDL on the source of the clone table are not reflected in the clone table.Similarly, any changes made through DDL or DML on the table clone are not reflected on the source of the clone table.

   Source: Adapted from community discussion — 4b35503

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

   

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5. Question 25 · 190 in bank

   Select 2

   You have an Amazon Web Services (AWS) subscription that contains an Amazon Simple Storage Service (Amazon S3) bucket named bucket1. You have a Fabric tenant that contains a lakehouse named LH1. In LH1, you plan to create a OneLake shortcut to bucket1. You need to configure authentication for the connection. Which two values should you provide? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

   • Athe shared access signature (SAS) token
   • Bthe secret access key
   • Cthe access ID
   • Dthe access key ID
   • Ethe certificate thumbprint

   Show answer

   Answer: BD

   References

   • Microsoft Learn
   • Microsoft Learn

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6. Question 26 · 190 in bank

   You have a Fabric tenant that contains a data warehouse. You need to load rows into a large Type 2 slowly changing dimension (SCD). The solution must minimize resource usage. Which T-SQL statement should you use?

   • AUPDATE AND INSERT
   • BMERGE
   • CTRUNCATE TABLE and INSERT
   • DCREATE TABLE AS SELECT

   Show answer

   Answer: A

   Explanation

   MERGE is not currently supported in Fabric: https://learn.microsoft.com/en-us/fabric/data-warehouse/tsql-surface-area#limitations so it must be UPDATE and INSERT C – TRUNCATE TABLE AND INSERT would eliminate history (which is the whole point of SCD Type 2) D – CREATE TABLE AS SELECT – this can be used for an initial load if the table doesn’t exist, but it won’t work for an SCD Type 2 because it would eliminate retention of historical changes.

   Source: Adapted from community discussion — AdventureChick

   References

   • Microsoft Learn

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7. Question 27 · 190 in bank

   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 - Contoso, Ltd. is a US-based health supplements company. Contoso has two divisions named Sales and Research. The Sales division contains two departments named Online Sales and Retail Sales. The Research division assigns internally developed product lines to individual teams of researchers and analysts. Existing Environment - Identity Environment - Contoso has a Microsoft Entra tenant named contoso.com. The tenant contains two groups named ResearchReviewersGroup1 and ResearchReviewersGroup2. Data Environment - Contoso has the following data environment: • The Sales division uses a Microsoft Power BI Premium capacity. • The semantic model of the Online Sales department includes a fact table named Orders that uses Import made. In the system of origin, the OrderID value represents the sequence in which orders are created. • The Research department uses an on-premises, third-party data warehousing product. • Fabric is enabled for contoso.com. • An Azure Data Lake Storage Gen2 storage account named storage1 contains Research division data for a product line named Productline1. The data is in the delta format. • A Data Lake Storage Gen2 storage account named storage2 contains Research division data for a product line named Productline2. The data is in the CSV format. Requirements - Planned Changes - Contoso plans to make the following changes: • Enable support for Fabric in the Power BI Premium capacity used by the Sales division. • Make all the data for the Sales division and the Research division available in Fabric. • For the Research division, create two Fabric workspaces named Productline1ws and Productline2ws. • In Productline1ws, create a lakehouse named Lakehouse1. • In Lakehouse1, create a shortcut to storage1 named ResearchProduct. Data Analytics Requirements - Contoso identifies the following data analytics requirements: • All the workspaces for the Sales division and the Research division must support all Fabric experiences. • The Research division workspaces must use a dedicated, on-demand capacity that has per-minute billing. • The Research division workspaces must be grouped together logically to support OneLake data hub filtering based on the department name. • For the Research division workspaces, the members of ResearchReviewersGroup1 must be able to read lakehouse and warehouse data and shortcuts by using SQL endpoints. • For the Research division workspaces, the members of ResearchReviewersGroup2 must be able to read lakehouse data by using Lakehouse explorer. • All the semantic models and reports for the Research division must use version control that supports branching. Data Preparation Requirements - Contoso identifies the following data preparation requirements: • The Research division data for Productline2 must be retrieved from Lakehouse1 by using Fabric notebooks. • All the Research division data in the lakehouses must be presented as managed tables in Lakehouse explorer. Semantic Model Requirements - Contoso identifies the following requirements for implementing and managing semantic models: • The number of rows added to the Orders table during refreshes must be minimized. • The semantic models in the Research division workspaces must use Direct Lake mode. General Requirements - Contoso identifies the following high-level requirements that must be considered for all solutions: • Follow the principle of least privilege when applicable. • Minimize implementation and maintenance effort when possible. Which syntax should you use in a notebook to access the Research division data for Productline1?

   • Aspark.sql("SELECT * FROM Lakehouse1.Tables.ResearchProduct")
   • Bspark.read.format("delta").load("Tables/productline1/ResearchProduct")
   • Cexternal_table(ResearchProduct)
   • Dspark.read.format("delta").load("Tables/ResearchProduct")

   Show answer

   Answer: D

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8. Question 28 · 190 in bank

   You have a Fabric tenant that contains a lakehouse named LH1. You create new tables in LH1. You need to ensure that the tables are added automatically to the default semantic model. What should you do?

   • ADisable Query Caching for the default semantic model.
   • BFrom the settings pane of LH1, enable Sync the default Power BI semantic model.
   • CEnable Refresh for the default semantic model.
   • DFrom the Endorsement and discovery settings of LH1, select Make discoverable.

   Show answer

   Answer: B

   Explanation

   According to the documentation on Learn: "To add objects such as tables or views to the default Power BI semantic model, you have options: 1. Manually enable the Sync the default Power BI semantic model setting that will automatically add objects to the semantic model. For more information, see Sync the default Power BI semantic model. 2. Manually add objects to the semantic model. https://learn.microsoft.com/en-us/fabric/data-warehouse/default-power-bi-semantic-model

   Source: Adapted from community discussion — 403a308

   References

   • Microsoft Learn

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9. Question 29 · 190 in bank

   Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem. After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen. Your network contains an on-premises Active Directory Domain Services (AD DS) domain named contoso.com that syncs with a Microsoft Entra tenant by using Microsoft Entra Connect. You have a Fabric tenant that contains a semantic model. You enable dynamic row-level security (RLS) for the model and deploy the model to the Fabric service. You query a measure that includes the USERNAME() function, and the query returns a blank result. You need to ensure that the measure returns the user principal name (UPN) of a user. Solution: You update the measure to use the USEROBJECTID() function. Does this meet the goal?

   • AYes
   • BNo

   Show answer

   Answer: B

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10. Question 30 · 190 in bank

    You are the administrator of a Fabric workspace that contains a lakehouse named Lakehouse1. Lakehouse1 contains the following tables: Table1: A Delta table created by using a shortcut Table2: An external table created by using Spark Table3: A managed table - You plan to connect to Lakehouse1 by using its SQL endpoint. What will you be able to do after connecting to Lakehouse1?

    • ARead Table3.
    • BUpdate the data Table3.
    • CRead Table2.
    • DUpdate the data in Table1.

    Show answer

    Answer: A

    Explanation

    B & D is out as you can’t update a table in lakehouse using SQL endpoint as this is read only. You will need to use spark or dataflows. C is out because when you create external table using spark, you can see the table from the lakehouse but you can’t see the table from SQL endpoint let alone ready. A is the answer, as I was able to see and read a managed table using SQL Endpoint

    Source: Adapted from community discussion — conie

    References

    • Microsoft Learn
    • Microsoft Learn

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DP-600 practice, question 21. 190 questions available.