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NEW QUESTION # 61
Which scenario best fits AI-enhanced SQL querying?
Answer: B
Explanation:
AI allows conversational querying of SQL databases.
NEW QUESTION # 62
You have an Azure SQL database that contains a table named Tickets_Embeddings.
Tickets_Embeddings contains a VECTOR(1536) column.
Embeddings are generated by using text-embedding-ada-002 and the /openai/v1/embeddings endpoint.
After a review of the current environment, the following changes are requested:
- The AI architect has recommended switching to text-embedding-3-small.
- The security team requires authentication by using Microsoft Entra
managed identities only. Storing API keys in an application is
prohibited.
Which two actions should you include in the solution? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: B,E
Explanation:
To migrate your Azure SQL database to use the text-embedding-3-small model while implementing Microsoft Entra managed identity authentication, you should take the following actions:
[B]
Regenerate all the embeddings: Even though text-embedding-ada-002 and the default configuration of text-embedding-3-small both use 1,536 dimensions, the underlying vector representations are mathematically incompatible. Comparing an "ada" vector to a "v3-small" vector using cosine similarity will yield incorrect results. You must re-embed your existing data using the new model to maintain search accuracy.
[C]
Change the endpoint: To switch models, you must update your application code or database configuration (such as an AI_GENERATE_EMBEDDINGS function call or a stored procedure) to point to the new Azure OpenAI deployment endpoint for text-embedding-3-small.
Why these actions are necessary:
Incompatibility: Vectors generated by different models exist in different latent spaces. While you do not need to Alter the database tables (since the VECTOR(1536) column type remains identical for both models), the actual data inside those columns must be replaced.
Managed Identity: To meet the requirement of using Microsoft Entra managed identities and prohibiting API keys, you must configure your application or the Azure SQL DB to authenticate with Azure OpenAI using a managed identity. This involves granting the identity the Cognitive Services OpenAI User role and updating your connection strings/calls to exclude the api-key header.
Reference:
https://microsoftlearning.github.io/mslearn-postgresql/Instructions/Labs/13-generate-vector- embeddings-azure-openai.html
NEW QUESTION # 63
Drag and Drop Question
You have an Azure SQL database named DB1 that contains two tables named knowledge_base and query_cache. knowledge_base contains support articles and embeddings. query_cache contains chat questions, responses, and embeddings. DB1 supports an AI-enabled chat agent.
You need to design a solution that meets the following requirements:
- Serializes the retrieved rows from knowledge_base
- Extracts the answer field from the response
- Extracts the embeddings to store in query_cache
You will call the external large language model (LLM) by using the
sp_invoke_external_rest_endpoint stored procedure.
Which Transact-SQL commands should you use for each requirement? To answer, drag the appropriate commands to the correct requirements. Each command 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:
NEW QUESTION # 64
Drag and Drop Question
You have an Azure SQL database that supports an OLTP application.
You need to write Transact-SQL code that returns blocking chain details. The output must return only sessions that are blocked or are blocking other sessions.
How should you complete the 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:
NEW QUESTION # 65
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 # 66
......
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