You have a Fabric workspace that contains a lakehouse and a semantic model named Model1.
You use a notebook named Notebook1 to ingest and transform data from an external data source.
You need to execute Notebook1 as part of a data pipeline named Pipeline1. The process must meet the following requirements:
• Run daily at 07:00 AM UTC.
• Attempt to retry Notebook1 twice if the notebook fails.
• After Notebook1 executes successfully, refresh Model1.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Place the Semantic model refresh activity after the Notebook activity and link the activities by using the On success condition.
B. From the Schedule settings of Pipeline1, set the time zone to UTC.
C. Set the Retry setting of the Notebook activity to 2.
D. From the Schedule settings of Notebook1, set the time zone to UTC.
E. Set the Retry setting of the Semantic model refresh activity to 2.
F. Place the Semantic model refresh activity after the Notebook activity and link the activities by using an On completion condition.
Show Answer
Correct Answer: A, B, C
Explanation: Configure the pipeline schedule to run daily at 07:00 UTC by setting the pipeline schedule time zone to UTC. Set the Notebook activity Retry property to 2 so it retries twice on failure. Add a Semantic model refresh activity after the Notebook activity and connect it with the On success dependency so the semantic model refreshes only after the notebook completes successfully.
Question 62
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?
A. the organization, project, Git repository, and branch
B. the personal access token (PAT) for Git authentication and the Git repository URL
C. the project, Git repository, branch, and Git folder
D. the Git repository URL and the Git folder
Show Answer
Correct Answer: A
Explanation: For Azure DevOps Git integration in a Fabric workspace, you select the Azure DevOps organization, project, repository, and branch when connecting the workspace. A Git folder is optional rather than required, and a PAT is not a required connection detail because supported authentication uses Azure DevOps sign-in/OAuth or other supported methods.
Question 63
You have a Fabric workspace named Workspace1.
Your company acquires GitHub licenses.
You need to configure source control for Workpace1 to use GitHub. The solution must follow the principle of least privilege.
Which permissions do you require to ensure that you can commit code to GitHub?
A. Actions (Read and write) and Contents (Read and write)
B. Actions (Read and write) only
C. Contents (Read and write) only
D. Contents (Read) and Commit statuses (Read and write)
Show Answer
Correct Answer: C
Explanation: To configure Microsoft Fabric Git integration with GitHub and commit workspace changes, the required GitHub fine-grained personal access token permission is Contents (Read and write). This permission allows reading repository contents and pushing commits. GitHub Actions and Commit statuses permissions are not required for basic commit operations, so granting only Contents (Read and write) follows the principle of least privilege.
Question 65
HOTSPOT
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You have a Fabric workspace that contains a warehouse named Warehouse1. Warehouse1 contains a table named DimCustomers. DimCustomers contains the following columns:
• CustomerName
• CustomerID
• BirthDate
• EmailAddress
You need to configure security to meet the following requirements:
• BirthDate in DimCustomer must be masked and display 1900-01-01.
• EmailAddress in DimCustomer must be masked and display only the first leading character and the last five characters.
How should you complete the statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Explanation: For Dynamic Data Masking, default() masks date values to the default date (1900-01-01). partial(prefix,"padding",suffix) reveals the specified leading and trailing characters; partial(1,"@",5) shows the first character and last five characters while masking the middle.
Question 66
HOTSPOT
-
You have a Fabric workspace named Workspace1 that contains a warehouse named Warehouse2.
A team of data analysts has Viewer role access to Workspace1.
You create a table by running the following statement.
You need to ensure that the team can view only the first two characters and the last four characters of the CreditCard attribute.
How should you complete the statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: ALTER
ALTER
PARTIAL
Explanation: To apply Dynamic Data Masking to an existing table, use ALTER TABLE and ALTER COLUMN ... ADD MASKED. The PARTIAL masking function exposes the specified prefix and suffix characters while masking the middle, e.g. PARTIAL(2,"XXXXXXXXXXXX",4).
Question 67
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 an Azure key vault named KeyVault1 that contains secrets.
You have a Fabric workspace named Workspace1. Workspace contains a notebook named Notebook1 that performs the following tasks:
• Loads stage data to the target tables in a lakehouse
• Triggers the refresh of a semantic model
You plan to add functionality to Notebook1 that will use the Fabric API to monitor the semantic model refreshes.
You need to retrieve the registered application ID and secret from KeyVault1 to generate the authentication token.
Solution: You use the following code segment:
Use notebookutils.credentials.getSecret and specify the key vault URL and the name of a linked service.
Does this meet the goal?
A. Yes
B. No
Show Answer
Correct Answer: B
Explanation: The solution does not meet the goal. In Fabric Notebook Utilities, when using getSecret with an Azure Key Vault URL, you provide the Key Vault URL and the secret name. A linked service name is not used as the second parameter in that overload. Therefore, specifying the key vault URL and the name of a linked service is incorrect.
Question 68
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 an Azure key vault named KeyVault1 that contains secrets.
You have a Fabric workspace named Workspace1. Workspace contains a notebook named Notebook1 that performs the following tasks:
• Loads stage data to the target tables in a lakehouse
• Triggers the refresh of a semantic model
You plan to add functionality to Notebook1 that will use the Fabric API to monitor the semantic model refreshes.
You need to retrieve the registered application ID and secret from KeyVault1 to generate the authentication token.
Solution: You use the following code segment:
Use notebookutils.credentials.putSecret and specify the key vault URL and key vault secret.
Does this meet the goal?
A. Yes
B. No
Show Answer
Correct Answer: B
Explanation: The solution does not meet the goal. notebookutils.credentials.putSecret is used to write/store a secret, not retrieve one from Azure Key Vault. To access an existing secret from KeyVault1 in a Fabric notebook, a retrieval method such as getSecret should be used instead.
Question 69
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 an Azure key vault named KeyVault1 that contains secrets.
You have a Fabric workspace named Workspace1. Workspace contains a notebook named Notebook1 that performs the following tasks:
• Loads stage data to the target tables in a lakehouse
• Triggers the refresh of a semantic model
You plan to add functionality to Notebook1 that will use the Fabric API to monitor the semantic model refreshes.
You need to retrieve the registered application ID and secret from KeyVault1 to generate the authentication token.
Solution: You use the following code segment:
Use notebookutils.credentials.getSecret and specify the key vault URL and key vault secret.
Does this meet the goal?
A. Yes
B. No
Show Answer
Correct Answer: A
Explanation: The solution meets the goal. In Microsoft Fabric notebooks, `notebookutils.credentials.getSecret` can retrieve a secret directly from Azure Key Vault by specifying the Key Vault URL and the secret name. The scenario's intent is to retrieve the application ID and secret from Key Vault, and this API is designed for that purpose. Although the wording says 'key vault secret', the function takes the identifier (secret name) and returns the secret value.
Question 70
DRAG DROP
-
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
-
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 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.
Explanation: Fabric Warehouse row-level security uses an inline table-valued function created WITH SCHEMABINDING. The predicate compares the passed column value (AuthorEmail) to USER_NAME(), and the security policy is applied ON the AuthorSales table.
Question 71
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 -
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 ensure that processes for the bronze and silver layers run in isolation.
How should you configure the Apache Spark settings?
A. Disable high concurrency.
B. Create a custom pool.
C. Modify the number of executors.
D. Set the default environment.
Show Answer
Correct Answer: A
Explanation: To ensure bronze and silver processes run in isolation, disable high concurrency. High concurrency is specifically designed to allow multiple notebooks to share Spark sessions. Disabling it restores dedicated Spark sessions for each workload, providing execution isolation. Creating a custom pool provides dedicated compute configuration but does not by itself override the shared-session behavior when high concurrency is enabled.
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