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NEW QUESTION # 87
You have an Azure SQL database that contains a table named Customer. Customer contains the following columns:
NationalIDNumber is unique per customer.
InvestigationNotes contains free-form text.
You have a stored procedure that performs point lookups by NationalIDNumber and returns InvestigationNotes in the query results without filtering on InvestigationNotes.
You need to encrypt both columns by using Always Encrypted and the highest security possible.
Which type of Always Encrypted encryption should you use for each column?
Answer: B
NEW QUESTION # 88
You have an Azure SQL database that stores sales data and contains tables named Sales and Products . Sales contains three columns named SalesDate , ProductKey , and TotalSale .
Sales is 10 TB and is loaded nightly by using a batch process. Most reporting queries scan large portions of Sales , filter on SalesDate or ProductKey , and use SUM() to aggregate TotalSale .
Products is relatively small and is used primarily for point lookups and joins to Sales .
You need to recommend which indexes to create to optimize the reporting queries. The solution must minimize storage requirements.
Which type of index should you recommend for each table? To answer, drag the appropriate index types to the correct tables. Each index type 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:
* Sales # A clustered columnstore index
* Products # A clustered rowstore index
For Sales , the correct choice is a clustered columnstore index . Microsoft identifies clustered columnstore indexes as the standard storage choice for large fact tables and analytical/data-warehouse workloads . The Sales table is 10 TB, loaded in nightly batches, and its reporting queries scan large portions of the table and perform aggregations such as SUM(TotalSale) . Those are exactly the workload characteristics that benefit from columnstore storage, batch-mode execution, aggregate pushdown, and high compression. Microsoft also notes that clustered columnstore indexes can provide substantial storage reduction compared with traditional uncompressed rowstore structures, which directly supports the requirement to minimize storage requirements .
For Products , the correct choice is a clustered rowstore index . Microsoft states that rowstore B-tree indexes perform best for point lookups, equality searches, and small-range retrieval , whereas columnstore is optimized for large analytical scans. Since Products is relatively small and primarily supports point lookups and joins to Sales , a rowstore structure is the better fit.
A nonclustered columnstore index would retain the underlying rowstore and add another compressed copy of selected columns, increasing storage. That is more appropriate for real-time analytics over an OLTP table, not for this dedicated large analytical fact table.
NEW QUESTION # 89
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?
Answer: C
NEW QUESTION # 90
You are developing an Azure SQL database solution from a locally cloned GitHub repository by using Microsoft Visual Studio Code and GitHub Copilot Chat.
You need to ensure that GitHub Copilot Chat can call the hosted GitHub MCP Server tools by using OAuth. The MCP server configuration must be scoped to the repository.
What should you do in Visual Studio Code?
Answer: A
Explanation:
To connect GitHub Copilot Chat to an Azure SQL Database using a hosted GitHub MCP (Model Context Protocol) Server, follow these steps. This setup ensures that Copilot can interact directly with your repository and database schema using OAuth.
Step 1: Configure the MCP Server in VS Code
You must set the scope to the Workspace level to ensure the server is restricted to your specific repository.
Open your locally cloned GitHub repository in VS Code.
Open the Command Palette (Ctrl+Shift+P or Cmd+Shift+P).
Type and select: MCP: Add Server.
Select HTTP (HTTP or Server-Sent Events).
Enter the URL: https://api.githubcopilot.com/mcp/
Crucial: When prompted for the configuration scope, select Workspace Settings.
This saves the config to .vscode/settings.json, binding the server to this repo.
Step 2: Authenticate via OAuth
Once the server is added, Copilot needs permission to act on your behalf.
Open the GitHub Copilot Chat panel.
You will see a notification or a prompt within the chat asking to Authorize the MCP server.
Follow the browser prompts to sign in and grant OAuth permissions.
This allows the hosted MCP server to "see" your repository's code and metadata.
Reference:
https://skywork.ai/skypage/en/The-Ultimate-Guide-to-GitHub's-MCP-Server:-Bridging-AI-and- Your-Codebase/1970685991323758592
NEW QUESTION # 91
You have an Azure SQL database that contains a table named Sales.Orders. Sales.Orders contains the following columns.
Reporting queries frequently repeat logic to calculate the number of days since an order was placed.
You need to create a scalar user-defined function (UDF) that returns the number of days between an input value of @OrderDate and the current date and time.
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:
* Function return type # RETURNS INT
* Calculation # DATEDIFF(day, @OrderDate, GETDATE())
Comprehensive and Detailed Explanation with all Developing AI-Enabled Database Solutions documents : = The first correct selection is RETURNS INT because the requirement is to create a scalar UDF that returns a single integer representing the number of days since the order date. Microsoft documents that scalar user- defined functions return a single scalar value, and DATEDIFF returns an int value.
The second correct selection is:
DATEDIFF(day, @OrderDate, GETDATE())
Microsoft defines DATEDIFF(datepart, startdate, enddate) as returning the number of specified datepart boundaries crossed between two dates. Therefore, placing @OrderDate as the start date and GETDATE() as the end date returns the number of elapsed day boundaries from the order date to the current date and time.
GETDATE() is valid inside a Transact-SQL UDF. Microsoft explicitly lists GETDATE among the nondeterministic built-in functions that can be used in T-SQL user-defined functions . Its nondeterministic nature means the result changes over time, but it does not prevent creation of this scalar UDF.
The completed code is:
CREATE FUNCTION dbo.ufn_DaysSinceOrder
(
@OrderDate datetime2(0)
)
RETURNS INT
BEGIN
DECLARE @Days int;
SELECT @Days =
DATEDIFF(day, @OrderDate, GETDATE());
RETURN @Days;
END;
GO
So the drag-and-drop answers are:
* First target: RETURNS INT
* Second target: DATEDIFF(day, @OrderDate, GETDATE())
NEW QUESTION # 92
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