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NEW QUESTION # 49
You have a SQL database in Microsoft Fabric named SalesDB that contains a table named dbo.Products.
You need to modify SalesDB to meet the following requirements:
Create a vector index on the appropriate column.
Use a supplied natural language query vector.
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:
Explanation:
Verified Answer : =
* Vector index column # embedding
* Vector search function # VECTOR_SEARCH
* Final clause # ORDER BY s.distance
The first selection is embedding because CREATE VECTOR INDEX must target the column that stores vector data. Microsoft documents the syntax as CREATE VECTOR INDEX ... ON object (vector_column) , so the index belongs on dbo.Products.embedding , not on distance or product_name .
The second selection is VECTOR_SEARCH . This function is designed for vector similarity retrieval and works with vector indexes in SQL database in Microsoft Fabric . In the shown code, the supplied
@query_vector VECTOR(1536) is compared against the embedding column using cosine distance, and TOP_N = 10 requests the ten nearest matches. Microsoft specifically documents VECTOR_SEARCH for approximate nearest-neighbor searches and its integration with vector indexes.
The final clause is ORDER BY s.distance because VECTOR_SEARCH returns a distance value representing how far each stored vector is from the supplied query vector. With cosine distance, smaller distance means greater similarity , so ascending order returns the most relevant products first.
Therefore, the completed selections are:
CREATE VECTOR INDEX idx_products_embedding
ON dbo.Products (embedding)
WITH (METRIC = ' cosine ' , TYPE = ' DiskANN ' );
FROM VECTOR_SEARCH (
TABLE = dbo.Products AS t,
COLUMN = embedding,
SIMILAR_TO = @query_vector,
METRIC = ' cosine ' ,
TOP_N = 10
) AS s
ORDER BY s.distance;
So the verified hotspot answers are embedding # VECTOR_SEARCH # ORDER BY s.distance .
NEW QUESTION # 50
Drag and Drop Question
You have an Azure SQL database that contains a table named dbo.Orders.
You have an application that calls a stored procedure named dbo.usp_CreateOrder to insert rows into dbo.Orders.
When an insert fails, the application receives inconsistent error details.
You need to implement error handling to ensure that any failures inside the procedure abort the transaction and return a consistent error to the caller.
How should you complete the stored procedure? 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 # 51
You have an Azure SQL database.
You deploy Data API builder (DAB) to Azure Container Apps by using the mcr.nicrosoft.com/azure-databases
/data-api-builder:latest image.
You have the following Container Apps secrets:
* MSSQL_COMNECTiON_STRrNG that maps to the SQL connection string
* DAB_C0HFT6_BASE64 that maps to the DAB configuration
You need to initialize the DAB configuration to read the SQL connection string.
Which command should you run?
Answer: A
Explanation:
Data API builder supports reading the database connection string from an environment variable by using the syntax:
@env( ' MSSQL_CONNECTION_STRING ' )
Microsoft's DAB documentation explicitly shows that @env( ' MSSQL_CONNECTION_STRING ' ) tells Data API builder to read the connection string from an environment variable at runtime.
That fits this scenario because Azure Container Apps secrets are typically exposed to the container as environment variables . Microsoft's Azure Container Apps documentation states that environment variables can reference secrets, and DAB's Azure Container Apps deployment guidance shows a secret being mapped into an environment variable that DAB then reads.
Why the other options are wrong:
* A and D incorrectly point the connection string to DAB_CONFIG_BASE64, which is the config payload secret, not the SQL connection string.
* C uses secretref: syntax inside dab init, but DAB expects the connection string parameter in the config to use the environment-variable reference syntax @env(...). The secretref: pattern is for Azure Container Apps environment variable configuration, not for the DAB CLI connection-string argument itself.
So the correct command is:
dab init --database-type mssql --connection-string " @env( ' MSSQL_CONNECTION_STRING ' ) " --host- mode Production --config dab-config.json
NEW QUESTION # 52
You have a Microsoft SQL Server 2025 instance that has a managed identity enabled.
You have a database that contains a table named dbo.ManualChunks. dbo.ManualChunks 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 endpoint for chat completions. The solution must provide the highest level of security.
You write the following Transact-SQL code.
What should you insert at line 02?
Answer: D
Explanation:
To use a Managed Identity with sys.sp_invoke_external_rest_endpoint in SQL Server, you need to configure your database-scoped credential with the following specific values:
Required Settings
WITH IDENTITY: Must be set to Managed Identity.
SECRET: Must be set to SECRET = N'{"resourceid":"<value>"}'.
Example Statement
CREATE DATABASE SCOPED CREDENTIAL [MyManagedIdentityCredential]
WITH IDENTITY = 'Managed Identity',
SECRET = N'{"resourceid": "https://azure.com"}'; -- Or your specific resource URI Quick Breakdown Identity: Managed Identity tells SQL Server to use the instance's assigned Azure identity rather than a static key or token.
Secret: The resourceid inside the JSON string specifies the Audience (resource) for which the Managed Identity is requesting an access token (e.g., Azure Storage, Key Vault, or a custom API).
Reference:
https://learn.microsoft.com/en-us/azure/azure-sql/managed-instance/authentication-azure-ad- user-assigned-managed-identity-create-managed-instance
NEW QUESTION # 53
What is Retrieval-Augmented Generation (RAG)?
Answer: C
NEW QUESTION # 54
......
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