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NEW QUESTION # 80
You have an Azure SQL database named ToDo that contains a table named dbo.ToDo.
Your company plans to develop an Azure Functions app to run whenever the rows in dbo.ToDo change. The app will process INSERT, UPDATE, and DELETE events by using the Azure SQL trigger binding.
You need to configure ToDo to support the planned app.
What should you do?
Answer: B
Explanation:
To use the Azure SQL trigger for Azure Functions, your database table must have Change Tracking enabled. This is the underlying mechanism the trigger uses to monitor row-level modifications.
Required Table Configuration
To facilitate the app, you must follow these three steps:
1. Enable Change Tracking on the Database
Before the table can be tracked, the feature must be turned on at the database level.
2. Enable Change Tracking on the Table
The specific table the Function monitors must have tracking enabled.
3. Define a Primary Key
The Azure SQL trigger requires the table to have a Primary Key.
The trigger uses the Primary Key to identify which specific rows were changed.
If your table lacks a Primary Key, the Function will fail to start.
Reference:
https://demiliani.com/2025/05/08/azure-function-sql-trigger-how-to-use-it-and-why-it-can-be- useful-in-your-business-central-projects/
NEW QUESTION # 81
Drag and Drop Question
You have an Azure SQL database that contains a table named dbo.Customers. dbo.Customers contains the following columns:
- CustomerId (int)(primary key)
- ProfileJson (nvarchar(max))
You have an application that returns phone numbers in a format of +000 000-000-0000. The phone numbers are stored in ProfileJson.
You need to write a query that returns:
- One row per customer
- A PhoneNUmerals column that contains only the digits
How should you complete the Transact-SQL query? 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 # 82
You have an Azure container app named app1-contoso-001 that hosts a Data API builder (DAB) container in front of an Azure SQL database.
You add an entity named Todo that uses a source named dbo.todos.
Which URL pattern should clients use to access the Todo REST endpoint?
Answer: B
Explanation:
To access the REST endpoint for the Todo entity, clients should use the following URL pattern:
https://<your-container-app-url>/api/Todo
Base URL: The unique FQDN of your Azure Container App.
Path Prefix: By default, DAB uses /api for RESTful services.
Entity Name: You must use the Entity Name defined in the configuration (Todo), not the underlying source name (dbo.Todos).
Reference:
https://learn.microsoft.com/en-us/azure/container-apps/connect-apps
NEW QUESTION # 83
You have an Azure SQL database that has Query Store enabled
Query Performance Insight shows that one stored procedure has the longest runtime. The procedure runs the following parameterized query.
The dbo.orders table has approximately 120 million rows. Customer-id is highly selective, and orderOate is used for range filtering and sorting.
Vou have the following indexes:
* Clustered index: PK_Orders on (Orderld)
* Nonclustered index: lx_0rders_order-Date on (OrderDate) with no included columns An actual execution plan captured from Query Store for slow runs shows the following:
* An index seek on ixordersorderDate followed by a Key Lookup (Clustered) on PKOrders for customerid, status, and TotalAnount
* A sort operator before top (50), because the results are ordered by orderDate DESC 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 first statement is Yes . The query filters on CustomerId, applies a range predicate on OrderDate, and sorts by OrderDate DESC. Microsoft's index design guidance recommends putting equality predicates first in the key, followed by columns used for ordering/range access, because the order of key columns determines seek and sort support. A nonclustered index on (CustomerId, OrderDate DESC) can support an ordered seek for this query and avoid the explicit sort. Including Status and TotalAmount helps cover the query, and OrderId is already available because the clustered key is stored with nonclustered index rows.
The second statement is No . Adding CustomerId as an included column to IX_Orders_OrderDate does not make it part of the index's navigational structure. Microsoft states that included columns are nonkey columns used to cover queries; they do not provide the seek and ordering characteristics that key columns do. So an index keyed only on OrderDate still is not the right ordered access path for WHERE CustomerId =
@CustomerId ... ORDER BY OrderDate DESC.
The third statement is Yes . The described actual plan shows an index seek on the wrong access path for the workload, followed by clustered key lookups and an explicit sort before TOP (50). That is characteristic of a suboptimal query/index plan . Query Store and Query Performance Insight are designed to surface plan- related performance regressions, while locking/blocking problems are typically identified through waits
/DMVs and blocking-session indicators, not from a plan shape like seek + lookup + sort alone.
NEW QUESTION # 84
You have a GitHub Codespaces environment that has GitHub Copilot Chat installed and is connected to a SQL database in Microsoft Fabric named DB1. DB1 contains tables named Sales.Orders and Sales.Customers.
You use GitHub Copilot Chat in the context of DB1.
A company policy prohibits sharing customer Personally Identifiable Information (PII), secrets, and query result sets with any AI service.
You need to use GitHub Copilot Chat to write and review Transact-SQL code for a new stored procedure that will join Sales.Orders to Sales.Customers and return customer names and email addresses. The solution must NOT share the actual data in the tables with GitHub Copilot Chat.
What should you do?
Answer: C
Explanation:
To use GitHub Copilot Chat effectively in this environment without exposing sensitive data, you should focus your prompts entirely on the schema and logic rather than the data itself.
Since Copilot Chat can "see" your open files, the best approach is to provide the table structures as DDL (Data Definition Language) statements or a simplified description.
Steps to generate the stored procedure:
Define the Schema: Open a new SQL file in your Codespace. Paste the CREATE TABLE scripts (without any data) for your two tables.
Prompt Copilot: Use the Chat view to request the procedure.
Example Prompt: "Based on the table definitions in my open file, write a T-SQL stored procedure that joins TableA and TableB on [Join Column]. Include logic to filter by [Parameter] and ensure no PII columns are included in the SELECT statement." Review for PII/Secrets: Before executing, manually verify that the generated code doesn't include hardcoded secrets or call PII columns you intended to omit.
Security Check: Because you are in a Codespace, ensure your .env files or connection strings are in your .gitignore so they aren't indexed by Copilot.
Reference:
https://github.com/orgs/community/discussions/141924
NEW QUESTION # 85
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