DP-600: Implementing Analytics Solutions Using Microsoft FabricDemo

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?

You have a KQL database containing a table named Readings.

You need to query Readings and return the results shown in the following table.

How should you complete the query?

Readings
| filter City == "Copenhagen"
| sort by Datetime
| Select… PrevMeterReading = prev(MeterReading), PrevTimestamp = prev(Datetime)
| Select… City, Area, MeterReading, Datetime, PrevMeterReading, PrevDatetime

You have a Fabric tenant that includes a semantic model named Model1. Model1 includes a fact table named FactSales. FactSales has a relationship with a dimension table named DimDate through a column named OrderDate.

You add a second relationship to FactSales between FactSales and DimDate, based on a column named ShippedDate.

You need to filter by using ShippedDate in a new report. The solution must not affect how existing reports function.

Which two actions should you take? Each correct answer presents part of the solution.

NOTE: Each correct answer is worth one point.

You have a Fabric tenant containing four workspaces named Development, Test, QA, and Production. All the workspaces use Premium Per User (PPU) license mode.

You plan to use a release pipeline to support the development lifecycle from Development to Production.

Which three actions should you perform, in sequence?

You have a Fabric tenant that includes a complex semantic model. The model uses a star schema and includes many tables, including a fact table named Sales.

You need to display a diagram of the model. The diagram must include only the Sales table and its related tables.

What should you use in Microsoft Power BI Desktop?

You have a Fabric workspace named Workspace1.

Workspace1 contains multiple semantic models, including a model named Model1. Model1 is updated by using an XMLA endpoint.

You need to increase the speed of the write operations of the XMLA endpoint.

What should you do?

You have a Fabric tenant that contains the workspaces shown in the following table.

You have a deployment pipeline named Pipeline1 that deploys items from Workspace_DEV to Workspace_TEST. In Pipeline1, all items that have matching names are paired.

You deploy the contents of Workspace_DEV to Workspace_TEST by using Pipeline1.

What will the contents of Workspace_TEST be once the deployment is complete?

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 Productine2ws.

• 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 Productline1 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.

What should you use to implement calculation groups for the Research division semantic models?

You have a Fabric warehouse containing a table named Sales.Products. Sales.Products contains the following columns.

You need to write a T-SQL query that returns the following columns.

How should you complete the code?

SELECT ProductID,
Select…(ListPrice, WholesalePrice, AgentPrice) AS HighestSellingPrice,
Select…(ListPrice, WholesalePrice, AgentPrice) AS TradePrice
FROM Sales.Products;

You have a Fabric tenant.

You are creating a Fabric Data Factory pipeline.

You have a stored procedure that returns the number of active customers and their average sales for the current month.

You need to add an activity that will execute the stored procedure in a warehouse. The returned values must be available to the downstream activities of the pipeline.

Which type of activity should you add?

You have a Fabric tenant that contains a data pipeline.

You need to ensure that the pipeline runs every four hours on Mondays and Fridays.

To what should you set Repeat for the schedule?

You have a Fabric tenant that contains 30 CSV files in OneLake. The files are updated daily.

You create a Microsoft Power BI semantic model named Model1 that uses the CSV files as a data source. You configure incremental refresh for Model1 and publish the model to a Premium capacity in the Fabric tenant.

When you initiate a refresh of Model1, the refresh fails after running out of resources.

What is a possible cause of the failure?

HOTSPOT

You have a data warehouse containing the following tables:

• DimCustomer
• DimEmployee
• DimGeography
• FactInternetSales

Every table has a primary key and these relationships:

• CustomerKey = FactInternetSales.CustomerKey
• EmployeeKey = FactInternetSales.EmployeeKey
• Geography = DimCustomer.GeographyKey

You have a T-SQL query named Query1 that contains the following statements.

For each statement below, select Yes when the statement is true. Otherwise, select No.

You have a Fabric workspace containing a large warehouse.

You plan to create a lakehouse named Lakehouse1 for a sales dataset. Lakehouse1 will contain these tables:

• Sales: Contains sales transactions
• Stores: Contains a unique list of store names and locations
• Loyalty: Contains a list of customers and their preferred stores
• Customers: Contains a unique list of customer names and addresses
• Products: Contains a unique list of available products and their descriptions

You need to configure a star schema for Lakehouse1.

Which table should be defined as the fact table, and which relationship type should be configured from the Sales table to the Customers table?

You have a Fabric tenant that contains a workspace named Workspace1. Workspace1 is assigned to a Fabric capacity.

You need to recommend a solution to provide users with the ability to create and publish custom Direct Lake semantic models by using external tools. The solution must follow the principle of least privilege.

Which three actions in the Fabric Admin portal should you include in the recommendation? Each correct answer presents part of the solution.

NOTE: Each correct answer is worth one point.

You have the following KQL query.

For each statement, select Yes if it is true. Otherwise, select No.

You have a Fabric tenant named Tenant1 that contains a workspace named WS1. WS1 uses a capacity named C1 and contains a dataset named DS1.

You need to ensure read-write access to DS1 is available by using XMLA endpoint.

What should be modified first?

You have a semantic model named Model1 that contains data that relates to customers and their bank account balances.

Model1 has the following tables and columns.

A customer can have one or more accounts. Each account can be associated to multiple customers.

You need to ensure that users can query Model1 to identify the total transaction amounts by customer.

What should you add to Model1?

You have a Fabric workspace named Workspace1 that contains a data flow named Dataflow1 contains a query that returns the data shown in the following exhibit.

You need to transform the data columns into attribute-value pairs, where columns become rows.

You select the VendorID column.

Which transformation should you select from the context menu of the VendorID column?

Create a DAX measure that calculates the average overall satisfaction score. Complete the DAX code by selecting the appropriate options.

Rolling 12 Overall Satisfaction =
VAR NumberOfMonths = 12
VAR LastCurrentDate = MAX ( 'Date' [Date] )
VAR Period = DATESINPERIOD ( 'Date' [Date], LastCurrentDate,
- NumberOfMonths, MONTH )
VAR Result =
    CALCULATE (
        Select…
        Select…
        'Survey Question'[Question Title] = "Overall Satisfaction"
    )
RETURN
    Result

You must resolve the issue with the pricing-group classification.

How should you complete the T-SQL statement?

CREATE Select… [dbo].[ProductsWithPricingGroup]

AS

SELECT ProductId,
    ProductName,
    ProductCategory,
    ListPrice,
    Select…
        WHEN ListPrice <= 50 THEN 'low'
        Select…
        WHEN ListPrice > 1000 THEN 'high'
    END as PricingGroup
FROM dbo.Products

You need to assign permissions for the data store in the AnalyticsPOC workspace. The solution must satisfy the security requirements.

Which additional permissions should you assign when sharing the data store?

You need to design a semantic model for the customer satisfaction report.

Which data-source authentication method and mode should you use?

You need to implement the date dimension in the data store. The solution must meet the technical requirements.

What are two ways to achieve the goal? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.