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Quiz 2026 DP-800: Trustable Reliable Developing AI-Enabled Database Solutions Exam Price

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Microsoft DP-800 Exam Syllabus Topics:

Microsoft Developing AI-Enabled Database Solutions Sample Questions (Q82-Q87):

NEW QUESTION # 82
You have a SQL database in Microsoft Fabric that contains a column named Payload. Payload stores customer data in JSON documents that have the following format:
JSON
{
" date " : " 2026-01-25 " ,
" customer_email " : " user@contoso.com " ,
...
}
Data analysis shows that some customers have subaddressing in their email address; for example, user1+promo@contoso.com.
You need to return a normalized email value that removes the subaddressing, for example, user1+promo@contoso.com must be normalized to user1@contoso.com.
Which Transact-SQL expression should you use?

• A. SQL
  REGEXP_REPLACE(
  JSON_VALUE(Payload, ' $.customer_email ' ),
  ' \+.* ' ,
  ' '
  )
• B. SQL
  REGEXP_SUBSTR(
  JSON_VALUE(Payload, ' $.customer_email ' ),
  ' \+.*@ ' ,
  ' @ '
  )
• C. SQL
  REGEXP_REPLACE(
  JSON_VALUE(Payload, ' $.customer_email ' ),
  ' \+ ' ,
  ' '
  )
• D. SQL
  REGEXP_REPLACE(
  JSON_VALUE(Payload, ' $.customer_email ' ),
  ' \+.*@ ' ,
  ' @ '
  )

Answer: B

NEW QUESTION # 83
Hotspot Question
You have a SQL database in Microsoft Fabric that contains a table named dbo.Products.
dbo.Products contains product catalog data.
You need to create a stored procedure that performs hybrid search. The solution must meet the following requirements:
- Use approximate nearest neighbor (ANN) to retrieve the top 20
candidate products.
- Re-rank only the candidates that also match a full-text query.
- Generate the query embedding.
How should you complete the Transact-SQL code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 84
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?

• A. sp_OACreate
• B. sp_addendpoint
• C. xp_cmdshell
• D. sp_invoke_external_rest_endpoint

Answer: D

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 # 85
You have an Azure SQL database that supports a customer-facing API. The API calls a stored procedure named dbo.GetCustomerOrders thousands of times per hour.
After a deployment that updated indexes and statistics, users report that the API endpoint backed by dbo.GetCustomerOrders is slower. In Query Store, the same query now has two persisted execution plans. During the last hour, the newer plan had a significantly higher average duration and CPU time than the older plan.
You need to restore the previous performance quickly, without changing the API code.
Which Transact-SQL command should you run?

• A. EXEC sys.sp_query_store_set_hints
• B. ALTER DATABASE
• C. DBCC FREEPROCCACHE
• D. EXEC sp_query_store_force_plan

Answer: D

Explanation:
We have encountered plan regression. This often happens after maintenance (like updating statistics) because the query optimizer generates a new execution plan that it thinks is better based on the new data distribution, but it ends up being less efficient in practice.
Since you've already identified the Plan ID for the faster plan and the Query ID from Query Store, you can force the "good" plan immediately using:
EXEC sp_query_store_force_plan @query_id = [YourQueryID], @plan_id = [YourFastPlanID]; Use code with caution.
This tells Azure SQL to ignore the new, slower plan and stick to the one that worked, providing an almost instant fix for your API's performance without requiring a code deployment.
Reference:
https://daxsws.com/blog/real-world-dynamics-365-performance-tuning-scenarios-and-fixes

NEW QUESTION # 86
You have a SQL database in Microsoft Fabric that contains the following functions:
* A multi-statement table-valued function (TVF) named sales.mstvf_orderStatus() that returns order status information
* A scalar user-defined function (UOF) named dbo.ufn_GetlaxMultiplier(

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