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| Section | Weight | Objectives |
|---|---|---|
| Implement AI capabilities in database solutions (25โ30%) | 25-30% | - Implement AI features
|
| Design and develop database solutions (35โ40%) | 35-40% | - Design and implement relational database schemas
|
| Secure, optimize, and deploy database solutions (35โ40%) | 35-40% | - Implement security
|
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NEW QUESTION # 32
You have an Azure SQL database named SalesDB and an Azure App Service app named sales- api. SalesDB contains a table named dbo.Customers. dbo.Customers contains two columns named CreditCardNumber and TenantId.
Currently, sales-api connects to SalesDB by using SQL authentication with stored username and password.
You need to recommend a solution that meets the following requirements:
- Provides a passwordless method for sales-api to access SalesDB.
- Ensures that credit card numbers are NOT stored as plain text.
What should you include in the recommendation?
Answer: B
Explanation:
To move from SQL authentication to a more secure, passwordless architecture while protecting credit card data, you should implement Azure Managed Identities for authentication and Always Encrypted for data protection.
1. Enable Passwordless Authentication
Replace your stored username and password with a Managed Identity. This allows the App Service to authenticate with the database using its own identity, managed by Azure.
Step 1A: Enable Identity on App Service
Step 1B: Grant Database Access
Set an Entra ID (Active Directory) Admin for your SQL Server.
Connect to your database as that admin and run the following to create a user for your app:
Step 1C: Update Connection String
2. Protect Credit Card Numbers
Use Always Encrypted to ensure credit card numbers are encrypted before they even reach the database. The database engine never sees the plain text.
Step 2A: Store Encryption Keys
Step 2B: Encrypt the Column
Use the Always Encrypted Wizard in SQL Server Management Studio (SSMS).
Select the credit card column and choose Randomized encryption for maximum security (unless you need to search by exact matches, in which case use Deterministic).
Reference:
https://learn.microsoft.com/en-us/sql/relational-databases/security/encryption/always-encrypted- database-engine
NEW QUESTION # 33
Your team is 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 uses the team's coding standards when generating Transact-SQL code in Visual Studio Code.
What should you use?
Answer: D
Explanation:
o ensure GitHub Copilot Chat adheres to your team's specific Transact-SQL (T-SQL) standards while deploying an Azure SQL database from VS Code, you should focus on Custom Instructions and Workspace Context.
Required Setup
Create a .github/copilot-instructions.md File
This is the most effective way to enforce standards.
Create this file in the root of your repository.
Copilot automatically reads this file to understand project-specific rules.
Include sections for:
Naming conventions (e.g., PascalCase for tables, proc_ prefix for stored procedures).
Formatting rules (e.g., keywords in UPPERCASE, use of 4 spaces).
Security practices (e.g., always use schema prefixes, avoid SELECT *).
Reference:
https://nikolay-dev.medium.com/master-web-development-with-github-spark-ai-b0b874525418
NEW QUESTION # 34
Hotspot Question
You have a SQL database in Microsoft Fabric that uses the default settings for a newly created database and contains a table named Sales.Orders.
You have an application that uses two stored procedures to access Sales.Orders.
While monitoring database activity, you discover the following:
- sys.dm_exec_requests shows multiple sessions in a suspended state
with wait_type = LCK_M_X. All the sessions show the same wait_resource, which maps to Sales.Orders, and the same nonzero blocking_session_id.
- sys.dm_exec_input_buffer(blocking_session_id, NULL) returns a last
submitted command of BEGIN TRANSACTION UPDATE Sales.Orders.
- sys.dm_exec_sessions for the blocking session shows status = sleeping and open_transaction_count = 1.
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:
NEW QUESTION # 35
Drag and Drop Question
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:
NEW QUESTION # 36
You have a Microsoft SQL Server 2025 instance that contains a database named SalesDB SalesDB supports a Retrieval Augmented Generation (RAG) pattern for internal support tickets. The SQL Server instance runs without any outbound network connectivity.
You plan to generate embeddings inside the SQL Server instance and store them in a table for vector similarity queries.
You need to ensure that only a database user account named AlApplicationUser can run embedding generation by using the model.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
Because the SQL Server 2025 instance has no outbound network connectivity , the embedding model cannot rely on a remote REST endpoint such as Azure AI Foundry or Azure OpenAI. Microsoft's CREATE EXTERNAL MODEL documentation includes a local deployment pattern using ONNX Runtime running locally with local runtime/model paths . That is the right design when embeddings must be generated inside the SQL Server instance without external network access. Microsoft explicitly documents a local ONNX Runtime example for SQL Server 2025 and notes the required local runtime setup and model path configuration.
The permission requirement is handled by granting the application user access to use the external embeddings model. Microsoft's AI_GENERATE_EMBEDDINGS documentation states that, as a prerequisite, you must create an external model of type EMBEDDINGS that is accessible via the correct grants, roles, and/or permissions . Among the choices, the exam-appropriate action is to grant execute permission on the external model project to AlApplicationUser so only that database user can run embedding generation through the model.
NEW QUESTION # 37
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