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1. Topic 3, Misc. Questions Set



You have a Fabric workspace.

You have semi-structured data.

You need to read the data by using T-SQL, KQL, and Apache Spark. The data will only be written by using Spark.

What should you use to store the data?

2. Your company has a sales department that uses two Fabric workspaces named Workspace1 and Workspace2.

The company decides to implement a domain strategy to organize the workspaces.

You need to ensure that a user can perform the following tasks:

Create a new domain for the sales department.

Create two subdomains: one for the east region and one for the west region.

Assign Workspace1 to the east region subdomain.

Assign Workspace2 to the west region subdomain.

The solution must follow the principle of least privilege.

Which role should you assign to the user?

3. You have a Fabric workspace named Workspace1.

You plan to configure Git integration for Workspace1 by using an Azure DevOps Git repository. An Azure DevOps admin creates the required artifacts to support the integration of Workspace1

Which details do you require to perform the integration?

4. You have a Fabric warehouse named DW1. DW1 contains a table that stores sales data and is used by multiple sales representatives.

You plan to implement row-level security (RLS).

You need to ensure that the sales representatives can see only their respective data.

Which warehouse object do you require to implement RLS?

5. You need to develop an orchestration solution in fabric that will load each item one after the other. The solution must be scheduled to run every 15 minutes.

Which type of item should you use?

6. You have five Fabric workspaces.

You are monitoring the execution of items by using Monitoring hub.

You need to identify in which workspace a specific item runs.

Which column should you view in Monitoring hub?

7. You have an Azure event hub. Each event contains the following fields:

- BikepointID

- Street

- Neighbourhood

- Latitude

- Longitude

- No_Bikes

- No_Empty_Docks

You need to ingest the events. The solution must only retain events that have a Neighbourhood value of Chelsea, and then store the retained events in a Fabric lakehouse.

What should you use?

8. HOTSPOT

You have a Fabric workspace that contains a warehouse named DW1.

DW1 contains the following tables and columns.





You need to create an output that presents the summarized values of all the order quantities by year and product. The results must include a summary of the order quantities at the year level for all the products.

How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

9. 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 Fabric eventstream that loads data into a table named Bike_Location in a KQL database.

The table contains the following columns:

- BikepointID

- Street

- Neighbourhood

- No_Bikes

- No_Empty_Docks

- Timestamp

You need to apply transformation and filter logic to prepare the data for consumption. The solution must return data for a neighbourhood named Sands End when No_Bikes is at least 15. The results must be ordered by No_Bikes in ascending order.

Solution: You use the following code segment:





Does this meet the goal?

10. Topic 2, Litware, Inc



Case Study

Overview

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

Litware, Inc. is a publishing company that has an online bookstore and several retail bookstores worldwide. Litware also manages an online advertising business for the authors it represents.



Existing Environment. Fabric Environment

Litware has a Fabric workspace named Workspace1. High concurrency is enabled for Workspace1.

The company has a data engineering team that uses Python for data processing.



Existing Environment. Data Processing

The retail bookstores send sales data at the end of each business day, while the online bookstore constantly provides logs and sales data to a central enterprise resource planning (ERP) system.

Litware implements a medallion architecture by using the following three layers: bronze, silver, and gold. The sales data is ingested from the ERP system as Parquet files that land in the Files folder in a lakehouse. Notebooks are used to transform the files in a Delta table for the bronze and silver layers. The gold layer is in a warehouse that has V-Order disabled.

Litware has image files of book covers in Azure Blob Storage. The files are loaded into the Files folder.



Existing Environment. Sales Data

Month-end sales data is processed on the first calendar day of each month. Data that is older than one month never changes.

In the source system, the sales data refreshes every six hours starting at midnight each day.

The sales data is captured in a Dataflow Gen1 dataflow. When the dataflow runs, new and historical data is captured.



The dataflow captures the following fields of the source:

- Sales Date

- Author

- Price

- Units

- SKU

A table named AuthorSales stores the sales data that relates to each author. The table contains a column named AuthorEmail. Authors authenticate to a guest Fabric tenant by using their email address.



Existing Environment. Security Groups

Litware has the following security groups:

- Sales

- Fabric Admins

- Streaming Admins



Existing Environment. Performance Issues

Business users perform ad-hoc queries against the warehouse. The business users indicate that reports against the warehouse sometimes run for two hours and fail to load as expected. Upon further investigation, the data engineering team receives the following error message when the reports fail to load: “The SQL query failed while running.”

The data engineering team wants to debug the issue and find queries that cause more than one failure.

When the authors have new book releases, there is often an increase in sales activity. This increase slows the data ingestion process.

The company’s sales team reports that during the last month, the sales data has NOT been up-to-date when they arrive at work in the morning.



Requirements. Planned Changes

Litware recently signed a contract to receive book reviews. The provider of the reviews exposes the data in Amazon Simple Storage Service (Amazon S3) buckets.

Litware plans to manage Search Engine Optimization (SEO) for the authors. The SEO data will be streamed from a REST API.



Requirements. Version Control

Litware plans to implement a version control solution in Fabric that will use GitHub integration and follow the principle of least privilege.



Requirements. Governance Requirements

To control data platform costs, the data platform must use only Fabric services and items. Additional Azure resources must NOT be provisioned.



Requirements. Data Requirements

Litware identifies the following data requirements:

- Process the SEO data in near-real-time (NRT).

- Make the book reviews available in the lakehouse without making a copy of the data.

- When a new book cover image arrives in the Files folder, process the image as soon as possible.



You need to implement the solution for the book reviews.

Which should you do?

11. HOTSPOT

You are processing streaming data from an external data provider.

You have the following code segment.





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

12. HOTSPOT

You are building a data orchestration pattern by using a Fabric data pipeline named Dynamic Data Copy as shown in the exhibit. (Click the Exhibit tab.)





Dynamic Data Copy does NOT use parametrization.

You need to configure the ForEach activity to receive the list of tables to be copied.

How should you complete the pipeline expression? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

13. You have an Azure Data Lake Storage Gen2 account named storage1 and an Amazon S3 bucket named storage2.

You have the Delta Parquet files shown in the following table.





You have a Fabric workspace named Workspace1 that has the cache for shortcuts enabled.

Workspace1 contains a lakehouse named Lakehouse1.

Lakehouse1 has the following shortcuts:

- A shortcut to ProductFile aliased as Products

- A shortcut to StoreFile aliased as Stores

- A shortcut to TripsFile aliased as Trips

The data from which shortcuts will be retrieved from the cache?

14. HOTSPOT

You have a table in a Fabric lakehouse that contains the following data.





You have a notebook that contains the following code segment.





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

15. HOTSPOT

You have three users named User1, User2, and User3.

You have the Fabric workspaces shown in the following table.





You have a security group named Group1 that contains User1 and User3.

The Fabric admin creates the domains shown in the following table.





User1 creates a new workspace named Workspace3.

You add Group1 to the default domain of Domain1.

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

16. DRAG DROP

You need to ensure that the authors can see only their respective sales data.

How should you complete the statement? To answer, drag the appropriate values 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.

17. 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 KQL database that contains two tables named Stream and Reference. Stream contains streaming data in the following format.





Reference contains reference data in the following format.





Both tables contain millions of rows.

You have the following KQL queryset.





You need to reduce how long it takes to run the KQL queryset.

Solution: You add the make_list() function to the output columns.

Does this meet the goal?

18. You have a Fabric workspace that contains a lakehouse named Lakehouse1.

In an external data source, you have data files that are 500 GB each. A new file is added every day.

You need to ingest the data into Lakehouse1 without applying any transformations.

The solution must meet the following requirements

Trigger the process when a new file is added.

Provide the highest throughput.

Which type of item should you use to ingest the data?

19. You have a Fabric workspace that contains a data pipeline named Pipeline! as shown in the exhibit. (Click the Exhibit tab.)





What will occur the next time Pipelinel tuns?

20. You need to ensure that usage of the data in the Amazon S3 bucket meets the technical requirements.

What should you do?

21. You have a Fabric workspace that contains a lakehouse named Lakehousel.

You plan to create a data pipeline named Pipeline! to ingest data into Lakehousel. You will use a parameter named paraml to pass an external value into Pipeline1!. The paraml parameter has a data

type of int

You need to ensure that the pipeline expression returns param1 as an int value.

How should you specify the parameter value?

22. You need to ensure that WorkspaceA can be configured for source control.

Which two actions should you perform?

Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

23. You have a Fabric warehouse named DW1 that contains a Type 2 slowly changing dimension (SCD) dimension table named DimCustomer. DimCustomer contains 100 columns and 20 million rows. The columns are of various data types, including int, varchar, date, and varbinary.

You need to identify incoming changes to the table and update the records when there is a change.

The solution must minimize resource consumption.

What should you use to identify changes to attributes?

24. You have a Fabric workspace named Workspace1 that contains an Apache Spark job definition named Job1.

You have an Azure SQL database named Source1 that has public internet access disabled. You need to ensure that Job1 can access the data in Source1.

What should you create?

25. DRAG DROP

You have a KQL database that contains a table named Readings.

You need to build a KQL query to compare the Meter-Reading value of each row to the previous row base on the ilmestamp value

A sample of the expected output is shown in the following table.

26. You have a Fabric workspace that contains a warehouse named DW1. DW1 is loaded by using a notebook named Notebook1.

You need to identify which version of Delta was used when Notebook1 was executed.

What should you use?

27. You have a Fabric workspace named Workspacel that contains the following items:

• A Microsoft Power Bl report named Reportl

• A Power Bl dashboard named Dashboardl

• A semantic model named Modell

• A lakehouse name Lakehouse1

Your company requires that specific governance processes be implemented for the items.

Which items can you endorse in Fabric?

28. HOTSPOT

You need to recommend a Fabric streaming solution that will use the sources shown in the following table.





The solution must minimize development effort.

What should you include in the recommendation for each source? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

29. You have a Fabric warehouse named DW1 that loads data by using a data pipeline named Pipeline1. Pipeline1 uses a Copy data activity with a dynamic SQL source. Pipeline1 is scheduled to run every 15 minutes.

You discover that Pipeline1 keeps failing.

You need to identify which SQL query was executed when the pipeline failed.

What should you do?

30. HOTSPOT

You need to recommend a method to populate the POS1 data to the lakehouse medallion layers.

What should you recommend for each layer? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

31. You have a Google Cloud Storage (GCS) container named storage1 that contains the files shown in the following table.





You have a Fabric workspace named Workspace1 that has the cache for shortcuts enabled. Workspace1 contains a lakehouse named Lakehouse1.

Lakehouse1 has the shortcuts shown in the following table.





You need to read data from all the shortcuts.

Which shortcuts will retrieve data from the cache?

32. You have a Fabric workspace that contains a lakehouse named Lakehouse1. Data is ingested into Lakehouse1 as one flat table.

The table contains the following columns.





You plan to load the data into a dimensional model and implement a star schema. From the original flat table, you create two tables named FactSales and DimProduct. You will track changes in DimProduct.

You need to prepare the data.

Which three columns should you include in the DimProduct table? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.