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NEW QUESTION # 23
You have an Azure SQL database.
You need to create a scalar user-defined function (UDF) that returns the number of whole years between an input parameter named 0orderDate and the current date/time as a single positive integer. The function must be created in Azure SQL Database. You write the following code.
What should you insert at line 05?
Answer: C
Explanation:
The correct answer is D because the scalar UDF must return the number of whole years from the input
@OrderDate to the current date/time as a single positive integer . The correct DATEDIFF order is:
DATEDIFF(year, @OrderDate, GETDATE())
Microsoft documents that DATEDIFF(datepart, startdate, enddate) returns the count of specified datepart boundaries crossed between the start and end values. Since @OrderDate is the earlier date and GETDATE() is the later date, this ordering returns a positive result for past order dates.
The other choices are incorrect:
* A reverses the arguments and would return a negative value for a past order date.
* B is missing RETURN, and converting month difference to years by dividing by 12 is not the direct whole-year expression the question asks for.
* C subtracts year parts only, which can be off around anniversary boundaries because it ignores whether the full year has actually elapsed.
So the correct insertion at line 05 is:
RETURN DATEDIFF(year, @OrderDate, GETDATE());
NEW QUESTION # 24
You have an Azure SQL database named SalesDB and an Azure App Service app named sales- api. SalesDB contains a table named dbo.Customers. dbo.Customers contains two columns named CreditCardNumber and TenantId.
Currently, sales-api connects to SalesDB by using SQL authentication with stored username and password.
You need to recommend a solution that meets the following requirements:
- Provides a passwordless method for sales-api to access SalesDB.
- Ensures that credit card numbers are NOT stored as plain text.
What should you include in the recommendation?
Answer: C
Explanation:
To move from SQL authentication to a more secure, passwordless architecture while protecting credit card data, you should implement Azure Managed Identities for authentication and Always Encrypted for data protection.
1. Enable Passwordless Authentication
Replace your stored username and password with a Managed Identity. This allows the App Service to authenticate with the database using its own identity, managed by Azure.
Step 1A: Enable Identity on App Service
Step 1B: Grant Database Access
Set an Entra ID (Active Directory) Admin for your SQL Server.
Connect to your database as that admin and run the following to create a user for your app:
Step 1C: Update Connection String
2. Protect Credit Card Numbers
Use Always Encrypted to ensure credit card numbers are encrypted before they even reach the database. The database engine never sees the plain text.
Step 2A: Store Encryption Keys
Step 2B: Encrypt the Column
Use the Always Encrypted Wizard in SQL Server Management Studio (SSMS).
Select the credit card column and choose Randomized encryption for maximum security (unless you need to search by exact matches, in which case use Deterministic).
Reference:
https://learn.microsoft.com/en-us/sql/relational-databases/security/encryption/always-encrypted- database-engine
NEW QUESTION # 25
You have a database named db1. The schema is stored in a Git repository as an SDK-style SQL database project The repository Contains the following GitHub Action workflow.
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* Unit tests run automatically whenever changes are pushed to main. # Yes
* Schema validation occurs during the Build step. # Yes
* Schema validation occurs during the Deploy step. # No
The first statement is Yes . The workflow is configured to trigger on both push to main and pull_request targeting main. The unit-tests job has this condition:
if: github.ref == ' refs/heads/main '
On a push to main , GitHub sets github.ref to refs/heads/main, so the condition is true and the unit-tests job runs. GitHub's workflow syntax documentation confirms that push.branches: [main] triggers on pushes to main, and the github.ref value for branch pushes is the fully qualified ref such as refs/heads/main.
The second statement is Yes . The Build step runs:
dotnet build db1.sqlproj --configuration Release
For an SDK-style SQL database project, the build process produces a .dacpac and validates the database project model as part of compilation/build. Microsoft's SQL database project documentation describes SDK- style SQL projects as the project format used for SQL Database Projects, and Microsoft's command-line build documentation is specifically about building a .dacpac from that SQL project. That means schema-level project validation happens during build.
The third statement is No . The Deploy step uses:
SqlPackage /Action:Publish ...
Microsoft documents that SqlPackage Publish incrementally updates the target database schema to match the source .dacpac. That is a deployment operation, not the primary schema-validation stage of the SQL project source itself. In this workflow, the schema is validated when the SQL project is built into the .dacpac; the deploy step applies that built artifact to the target database.
NEW QUESTION # 26
You have an Azure SQL database that contains the following SQL graph tables:
- A NODE table named dbo.Person
- An EDGE table named dbo.Knows
Each row in dbo.Person contains the following columns:
- PersonID (int)
- DisplayName (nvarchar(100))
You need to use a MATCH operator and exactly two directed Knows relationships to return the PersonID and DisplayName of people that are reachable from the person identified by an input parameter named @StartPersonId.
Which Transact-SQL query should you use?
Answer: A
Explanation:
To achieve this using SQL Graph in Azure SQL, you use the MATCH clause to define the path.
Since you need exactly two directed relationships (A → B → C), you must chain the edge table twice in the same direction.
Transact-SQL Statement
SELECT
Person3.ID,
Person3.NameColumn -- Replace with your actual nvarchar(100) column name FROM PersonNodeTable AS Person1, KnowsEdgeTable AS Knows1, PersonNodeTable AS Person2, KnowsEdgeTable AS Knows2, PersonNodeTable AS Person3 WHERE MATCH(Person1-(Knows1)->Person2-(Knows2)->Person3) AND Person1.ID = @InputID; Use code with caution.
Key Components
MATCH Clause: Defines the traversal pattern. The syntax (Node)-(Edge)->(Node) ensures the relationship is directed.
Chaining: To get "exactly two" steps, you define three node aliases and two edge aliases.
Aliases: Each instance of the table must have a unique alias (e.g., Person1, Person2, Person3) so the engine can distinguish between the different points in the path.
Filtering: The WHERE clause uses your input parameter (@InputID) to set the starting point of the graph traversal Incorrect:
[Not A]
Need three persons, not two.
[Not B]
Do not use JOIN.
[Not C]
Incorrect MATCH statement.
Reference:
https://learn.microsoft.com/en-us/sql/relational-databases/graphs/sql-graph-sample
NEW QUESTION # 27
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 use the UsefulPrompts table as defined in the AI requirements. Which stored procedure should you use?
Answer: A
Explanation:
Scenario:
The UsefulPrompts table will store prompts that doctors can use to help diagnose patient illness by connecting to an Azure OpenAI endpoint.
The system stored procedure sp_invoke_external_rest_endpoint is used to connect an Azure SQL Database to an Azure OpenAI endpoint.This procedure allows you to call HTTPS REST endpoints directly from your database, enabling the integration of generative AI or embedding models into your SQL workflows without an intermediate application layer.
Reference:
https://blog.fabric.microsoft.com/en-gb/blog/ai-ready-apps-from-rag-to-chat-interacting-with-sql- database-in-microsoft-fabric-using-graphql-and-mcp
NEW QUESTION # 28
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