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Microsoft Developing AI-Enabled Database Solutions Sample Questions:

Question 1

You have an Azure Al Search service and an index named hotels that includes a vector Held named DescriptionVector.
You query hotels by using the Search Documents REST API.
You add semantic ranking to the hybrid search query and discover that some queries return fewer results than expected, and captions and answers are missing.
You need to complete the hybrid search request to meet the following requirements:
* Include more documents when ranking.
* Always include captions and answers.

Question 2

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 processes 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.

A. Enable change tracking on the dbo. Employee table.
B. Set Sql_Trigger_PollingIntervalMs to 5000.
C. SetSql Trigger MaxBatchSize to 100.
D. Create an AFTER trigger on dbo.Employee for Data Manipulation Language (DML).
E. Enable change tracking at the database level.
F. Enable change data capture (CDC) for dbo.Employee table changes

Question 3

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

Question 4

You are creating a table that will store customer profiles.
You have the following Transact-SQL code.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection Is worth one point.

Question 5

You have an Azure SQL database named SalesDB that contains a table named dbo. Articles, dbo.Articles contains two million articles with embeddmgs. The articles are updated frequently throughout the day.
You query the embeddings by using VECTOR_SEARQi
Users report that semantic search results do NOT reflect the updates until the following day.
Vou need to ensure that the embeddings are updated whenever the articles change. The solution must minimize CPU usage on SalesDB Which embedding maintenance method should you implement?

A. Run an hourly Transact-SQL job that regenerates embeddings for all the rows in dbo.Articles.
B. enable change data capture (COC) on dbo.Articles and use an Azure Functions app to process CLX changes.
C. Modify the query to use VECTOR.DTSTANCF instead of VECTOR.SEARCK
D. On dbo.Articles, create a trigger that calls AI GENERATE EMBEDOINGS for each inserted or updated row.

Solutions: