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NEW QUESTION # 40
Case Study 2 - Fabrikam
Existing Environment
Azure Environment
Fabrikam has a single Azure subscription in the East US 2 Azure region. The subscription contains an Azure SQL database named DB1. DB1 contains the following tables:
* Patients
* Employees
* Procedures
* Transactions
* UsefulPrompts
* ProcedureDocuments
You store a column master key as a secret in Azure Key Vault.
You have an on-premises application named TransactionProcessing that uses a hard-coded username and password in a connection string to access DB1.
Problem Statements
Users report that after executing a long-running stored procedure named sp_UpdateProcedureForPatient, updates to the underlying data are sometimes inconsistent.
Requirements
Planned Changes
Fabrikam plans to manage all changes to Azure SQL Database objects by using source control in GitHub. Every pull request submitted to production will be validated before it can be merged.
Deployments must use the Release configuration.
Security Requirements
Fabrikam identifies the following security requirements:
* The TransactionProcessing application must use a passwordless connection to DB1.
* The Employees table contains two columns named TaxID and Salary that must be encrypted at rest.
* Auditors must have a tamper-evident history of transactions with cryptographic proof of changes to the employee data.
Database Performance Requirements
Records accessed by using sp_UpdateProcedureForPatient must NOT be changed by other transactions while the stored procedure runs.
AI Search, Embeddings, and Vector Indexing
Fabrikam identifies the following AI-related requirements:
* Queries to the ProcedureDocuments table must use Reciprocal Rank Fusion (RRF).
* Users must be able to query the data in DB1 by using prompts in Copilot in Microsoft Fabric.
* The UsefulPrompts table will store prompts that doctors can use to help diagnose patient illness by connecting to an Azure OpenAI endpoint.
Development Requirements
Fabrikam identifies the following development requirements:
* Provide the functionality to retrieve all the transactions of a given patient between two dates, showing a running total.
* Expose a Data API builder (DAB) configuration file to enable Azure services to perform the following operations over a REST API:
- Read data from the procedures table without authentication.
- Read and insert data into the Transactions table once authenticated.
- Execute the sp_UpdateProcedurePatient stored procedure.
* Provide the functionality to retrieve a list of the names of patients who underwent medical procedures during the last 30 days.
* Information for each medical procedure will be stored in a table. The table will be used with a large language model (LLM) for user querying and will have the following structure.
DAB
You create a DAB configuration file that meets the development requirements for DB1 and includes the following entities.
You need to recommend a solution for the TransactionProcessing application that meets the security requirements. What should you include in the recommendation?
Answer: C
Explanation:
Scenario:
You have an on-premises application named TransactionProcessing that uses a hard-coded username and password in a connection string to access DB1.
Security Requirements: Fabrikam identifies the following security requirements: The TransactionProcessing application must use a passwordless connection to DB1.
The most appropriate security solution for an on-premises application connecting to an Azure SQL Database without passwords is Microsoft Entra ID authentication. Specifically, you should implement one of the following Entra-based mechanisms depending on your application's environment and architecture:
*-> 1. Microsoft Entra Service Principal with Certificate
This is the standard "passwordless" approach for non-Azure (on-premises) applications.
How it works: You register the application in Microsoft Entra ID. Instead of a client secret (password), you use a certificate for authentication.
Benefit: No secrets are stored in your code or configuration files. The application uses the certificate to obtain an access token from Entra ID to connect to the database.
2. Microsoft Entra Integrated Authentication
3. Managed Identity (via Azure Arc)
For a more modern approach, you can register your on-premises server with Azure Arc.
How it works: Azure Arc extends Azure's Managed Identity capabilities to on-premises hardware.
Benefit: This is the "gold standard" for passwordless security, as Azure handles the identity, rotation, and lifecycle of the credentials automatically.
Reference:
https://learn.microsoft.com/en-us/azure/developer/java/spring-framework/migrate-sql-database- to-passwordless-connection
NEW QUESTION # 41
You need to meet the database performance requirements for maintenance data How should you complete the Transact-SQL code? To answer, drag the appropriate values to 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.
Answer:
Explanation:
Explanation:
* ON # m.maintenanceId = i.maintenanceId
* WHERE # m.LastModifiedUtc < > i.LastModifiedUtc
The correct drag-and-drop completion is:
* ON m.maintenanceId = i.maintenanceId
* WHERE m.LastModifiedUtc < > i.LastModifiedUtc
This satisfies the requirement to ensure that when a row in MaintenanceEvents changes, the corresponding LastModifiedUtc value is updated to the current system time, while also helping avoid unnecessary repeat updates.
The inserted pseudo-table in a SQL Server AFTER UPDATE trigger contains the rows that were just updated.
To update the matching row in the base table correctly, the trigger must join the target table row to the corresponding row in inserted by the table's primary key. In this schema, MaintenanceId is the primary key for MaintenanceEvents, so the correct join is m.maintenanceId = i.maintenanceId . Joining on VehicleId would be incorrect because multiple maintenance rows could exist for the same vehicle, which could update unintended rows. Microsoft's trigger documentation explains that inserted and deleted are used to work with the affected rows and that multi-row logic should be based on proper key matching.
The WHERE m.LastModifiedUtc < > i.LastModifiedUtc predicate is used to prevent the trigger from re- updating rows where the timestamp already matches the value in inserted. That reduces redundant writes and supports the requirement to avoid recursive or repeated update behavior. In practice, this means the trigger updates only rows whose current stored timestamp differs from the just-updated version. This is the exam- appropriate pattern for a self-updating timestamp column in an AFTER UPDATE trigger.
NEW QUESTION # 42
You have an Azure SQL database named ToDo that contains a table named dbo.ToDo.
Your company plans to develop an Azure Functions app to run whenever the rows in dbo.ToDo change. The app will process INSERT, UPDATE, and DELETE events by using the Azure SQL trigger binding.
You need to configure ToDo to support the planned app.
What should you do?
Answer: D
NEW QUESTION # 43
You have an Azure SQL database that contains a table named Customer. Customer contains the following columns:
NationalIDNumber is unique per customer.
InvestigationNotes contains free-form text.
You have a stored procedure that performs point lookups by NationalIDNumber and returns InvestigationNotes in the query results without filtering on InvestigationNotes.
You need to encrypt both columns by using Always Encrypted and the highest security possible.
Which type of Always Encrypted encryption should you use for each column?
Answer: A
NEW QUESTION # 44
You have an Azure SQL database named AdventureWorksDB that contains a table named dbo.Employee.
You have a C# Azure Functions app that uses an HTTP-triggered function with an Azure SQL input binding to query dbo.Employee.
You are adding a second function that will react to row changes in dbo.Employee and write structured logs.
You need to configure AdventureWorksDB and the app to meet the following requirements:
- Changes to dbo.Employee must trigger the new function within five
seconds.
- Each invocation must process no more than 100 changes.
Which two database configurations should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,B
Explanation:
To use an Azure SQL trigger in an Azure Functions app, you must perform the following two database configurations:
Enable change tracking on the database: You must turn on change tracking at the database level to allow the system to monitor for row-level modifications.
Enable change tracking on the table: You must specifically enable change tracking for the table that the second function is monitoring.
These configurations are mandatory for the Azure SQL trigger to detect inserts, updates, and deletes.
Incorrect:
Configuring Timing and Batching
While the database setup enables the tracking mechanism, the specific performance requirements (triggering within five seconds and processing no more than 100 changes) are managed through application settings in the Azure Function app, rather than database-side configurations:
Sql_Trigger_MaxBatchSize: Set this to 100 to ensure each invocation processes no more than
100 changes.
Sql_Trigger_PollingIntervalMs: Set this to 5000 (5,000 milliseconds) or less to ensure changes are detected and triggered within five seconds.
Reference:
https://learn.microsoft.com/en-us/azure/azure-functions/functions-bindings-azure-sql-trigger
NEW QUESTION # 45
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