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| Section | Weight | Objectives |
|---|---|---|
| Implement AI capabilities in database solutions (25–30%) | 25-30% | - Implement AI features
|
| Secure, optimize, and deploy database solutions (35–40%) | 35-40% | - Optimize database performance
|
| Design and develop database solutions (35–40%) | 35-40% | - Design and implement relational database schemas
|
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NEW QUESTION # 67
You need to enable similarity search to provide the analysts with the ability to retrieve the most relevant health summary reports. The solution must minimize latency.
What should you include in the solution?
Answer: A
Explanation:
The correct answer is D because the requirement is to enable similarity search over embedding vectors and to minimize latency . Microsoft documents that CREATE VECTOR INDEX is specifically used to create an index on vector data for approximate nearest neighbor (ANN) search , which is designed to accelerate vector similarity queries compared to exact k-nearest-neighbor scans.
This matches the scenario exactly. The VehicleHealthSummary table already includes an Embeddings (vector (1536)) column. In Microsoft SQL platforms, embeddings are stored in vector columns and queried for semantic similarity. To improve performance and reduce response time, Microsoft recommends a vector index , not a regular B-tree nonclustered index and not a full-text index. A vector index is purpose-built for finding the most similar vectors efficiently.
The other options are not appropriate:
* A would require manual comparison logic and would increase latency rather than minimize it.
* B is incorrect because a standard nonclustered index is not the index type used for vector similarity operations.
* C is incorrect because full-text indexes are for textual token-based search, not numeric vector embeddings.
Microsoft's current documentation is explicit that vector indexes support approximate nearest neighbor search , and that the optimizer can use the ANN index automatically for vector queries. That is the exam- aligned design choice when the goal is fast retrieval of the most relevant health summary reports from an embeddings column.
NEW QUESTION # 68
You have an SDK-style SQL database project named MyDatabaseProject.sqlproj stored in a private GitHub repository. The repository contains the following GitHub Actions workflow:
YAML
name: Build and Deploy SQL Project
on:
push:
branches:
- main
workflow_dispatch:
jobs:
build-and-deploy:
runs-on: ubuntu-latest
permissions:
id-token: write
contents: read
steps:
- uses: actions/checkout@v4
- name: Build SQL project
run: dotnet build MyDatabaseProject.sqlproj
- name: Publish DACPAC
uses: azure/sql-action@v2
Answer:
Explanation:
Explanation:
NEW QUESTION # 69
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: D
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 # 70
You have an Azure SQL database that contains a table named dbo.ManualChunks. dbo.HonualChunks contains product manuals A retrieval query already returns the top five matching chunks as nvarchar(max) text.
You need to call an Azure OpenAI REST endpomt for chat completions. The request body must include both the user question and theretiieved chunks.
You write the following Transact-SQL code.
What should you insert at line 22?
Answer: A
Explanation:
The correct insertion at line 22 is FOR JSON PATH, WITHOUT_ARRAY_WRAPPER .
The request body for the Azure OpenAI chat completions call must be a single JSON object containing the messages array with both the system/user content and the retrieved chunks. Microsoft documents that FOR JSON PATH is the preferred way to shape JSON output, especially when you want precise control over nested property names like messages[0].role and messages[1] .content.
The key detail is WITHOUT_ARRAY_WRAPPER . By default, FOR JSON returns results enclosed in square brackets as a JSON array. Microsoft documents that WITHOUT_ARRAY_WRAPPER removes those brackets so a single JSON object is produced instead. That is exactly what is needed here for @payload, because the stored procedure is building one request body, not an array of request bodies.
NEW QUESTION # 71
You have an Azure SQL database that contains a table named Sales.Orders. Sales.Orders contains the following columns.
Reporting queries frequently repeat logic to calculate the number of days since an order was placed.
You need to create a scalar user-defined function (UDF) that returns the number of days between an input value of @OrderDate and the current date and time.
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:
* Function return type # RETURNS INT
* Calculation # DATEDIFF(day, @OrderDate, GETDATE())
Comprehensive and Detailed Explanation with all Developing AI-Enabled Database Solutions documents : = The first correct selection is RETURNS INT because the requirement is to create a scalar UDF that returns a single integer representing the number of days since the order date. Microsoft documents that scalar user- defined functions return a single scalar value, and DATEDIFF returns an int value.
The second correct selection is:
DATEDIFF(day, @OrderDate, GETDATE())
Microsoft defines DATEDIFF(datepart, startdate, enddate) as returning the number of specified datepart boundaries crossed between two dates. Therefore, placing @OrderDate as the start date and GETDATE() as the end date returns the number of elapsed day boundaries from the order date to the current date and time.
GETDATE() is valid inside a Transact-SQL UDF. Microsoft explicitly lists GETDATE among the nondeterministic built-in functions that can be used in T-SQL user-defined functions . Its nondeterministic nature means the result changes over time, but it does not prevent creation of this scalar UDF.
The completed code is:
CREATE FUNCTION dbo.ufn_DaysSinceOrder
(
@OrderDate datetime2(0)
)
RETURNS INT
BEGIN
DECLARE @Days int;
SELECT @Days =
DATEDIFF(day, @OrderDate, GETDATE());
RETURN @Days;
END;
GO
So the drag-and-drop answers are:
* First target: RETURNS INT
* Second target: DATEDIFF(day, @OrderDate, GETDATE())
NEW QUESTION # 72
......
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