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NEW QUESTION # 58
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_tresteOrder 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, tach 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:
* After the INSERT # SET @OrderId = SCOPE_IDENTITY()
* Inside CATCH # IF @@TRANCOUNT > 0 ROLLBACK TRANSACTION
The correct drag-and-drop choices are:
* SET @OrderId = SCOPE_IDENTITY()
* IF @@TRANCOUNT > 0 ROLLBACK TRANSACTION
After the INSERT, the procedure should assign the newly generated identity value to the output parameter by using SCOPE_IDENTITY() . Microsoft documents that SCOPE_IDENTITY() returns the last identity value inserted in the same scope, which makes it the correct choice for returning the new OrderId from the procedure.
Inside the CATCH block, the procedure should use IF @@TRANCOUNT > 0 ROLLBACK TRANSACTION before THROW. This ensures any open transaction is rolled back only when one actually exists, which prevents transaction-state issues and guarantees the failure aborts the transaction cleanly.
Keeping THROW after the rollback is also the correct modern pattern because THROW re-raises the error to the caller with the original error information intact, giving consistent error behavior. This matches SQL Server best practice for TRY...CATCH transaction handling.
NEW QUESTION # 59
Vou have a Microsoft Fabric workspace named Workspace1 that contains a SQL database named SalesDB and an API for GraphQL tern named SalesApi.
You have a Microsoft Entra group named SqlUsers.
From Workspace1, you assign permission to SalesApi as shown in the following exhibit.
The connection to SalesDB has the connectivity option configured as shown in the following exhibit.
SqlUsers has the Viewer role for Workspace1.
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The members of SqlUsers can modify the data in SalesDB via SalesApi. # No The members of SqlUsers can view the data in SalesDB via SalesApi. # No The members of SqlUsers can change the field mappings of SalesApi. # Yes For both viewing and modifying data through SalesApi, the key missing permission is Run Queries and Mutations. Microsoft's Fabric GraphQL documentation states that callers need Execute permissions for the GraphQL API, which correspond to the Run Queries and Mutations option, and with SSO connectivity they also need appropriate permissions on the underlying data source. In the exhibit, SqlUsers has View and Edit GraphQL item selected, but Run Queries and Mutations is not selected, so members cannot query or mutate data through the API.
The third statement is Yes because the group was explicitly granted View and Edit GraphQL item. That permission is the one that allows users to open and modify the GraphQL item itself, including schema-related configuration such as field mappings in the API item. The workspace Viewer role does not by itself grant query execution through the API, but the direct GraphQL item permission shown does allow editing the item.
NEW QUESTION # 60
You have an Azure SQL database that stores order data.
A reporting query aggregates monthly revenue per customer runs frequently.
You need to reduce how long it takes to retrieve the calculated values. The solution must NOT alter any underlying table structure.
What should you do?
Answer: C
Explanation:
Creating an indexed view using WITH SCHEMABINDING, including COUNT_BIG(*), and creating a unique clustered index is a valid and effective approach to significantly improve the performance of your frequent reporting query without altering the underlying table structure.
This process materializes the aggregated data and stores it physically in the database, so the query optimizer can read from the precomputed view rather than rescanning the base tables every time the query runs.
Reference:
https://learn.microsoft.com/en-us/sql/relational-databases/views/create-indexed-views
NEW QUESTION # 61
What challenge does AI introduce to SQL systems?
Answer: D
Explanation:
AI may generate incorrect answers and requires strong governance and validation.
NEW QUESTION # 62
You have an Azure SQL database named SalesDB that supports an AI-enabled product search application.
SalesDB has a table named SalesLT.Product that contains the following columns:
* ProductID (int)
* Name (nvarchar(100))
* ListPrice (decimal(18,2))
You need to create an object that returns products priced above a caller-provided threshold. The solution must meet the following requirements:
* Support being used in a join.
* Accept one input parameter.
* Return a table result.
Answer:
Explanation:
Explanation:
NEW QUESTION # 63
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