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| Section | Objectives |
|---|---|
| Design and implement data solutions | - Implement data storage and data processing solutions - Design database solutions using Azure data services |
| Monitor, troubleshoot, and maintain solutions | - Monitoring database health and performance - Troubleshooting data pipeline issues |
| Develop and manage database solutions | - Ensure security and compliance of data solutions - Optimize performance and scalability |
| Integrate AI capabilities with database systems | - Implement AI-assisted data processing - Use Azure AI services with database workloads |
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NEW QUESTION # 60
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: A
Explanation:
The correct answer is B because Data API builder exposes REST entities by default using the URL pattern:
https://{base_url}/api/{entity}
Microsoft's current DAB documentation states exactly that the default REST endpoint pattern is /api/{entity}
. For an entity named Todo , the REST route is therefore /api/Todo .
The other options are incorrect:
* A uses a GraphQL-style route and is not the REST endpoint.
* C uses /data-api/Todo , which is not the default REST path for a directly hosted DAB runtime.
* D adds an unnecessary /data-api prefix before /api/Todo .
Microsoft also shows examples such as:
GET https://localhost:5001/api/book
and documents collection reads as:
GET /api/{entity} .
So for the entity configuration:
* Entity name: Todo
* Source: dbo.todos
the REST endpoint path is:
/api/Todo
Therefore, among the supplied choices, Option B is the correct answer.
NEW QUESTION # 61
Why is indexing important for vector search?
Answer: D
Explanation:
Specialized indexes (e.g., ANN) speed up nearest-neighbor searches.
NEW QUESTION # 62
Which tool helps orchestrate data pipelines for AI workflows?
Answer: D
Explanation:
Azure Data Factory automates data movement and transformation pipelines.
NEW QUESTION # 63
Case Study 2 - Fabrikam
Existing Environment
Azure Environment
Fabrikam has a single Azure subscription in the East US 2 Azure region. The subscription contains an Azure SQL database named DB1. DB1 contains the following tables:
* Patients
* Employees
* Procedures
* Transactions
* UsefulPrompts
* ProcedureDocuments
You store a column master key as a secret in Azure Key Vault.
You have an on-premises application named TransactionProcessing that uses a hard-coded username and password in a connection string to access DB1.
Problem Statements
Users report that after executing a long-running stored procedure named sp_UpdateProcedureForPatient, updates to the underlying data are sometimes inconsistent.
Requirements
Planned Changes
Fabrikam plans to manage all changes to Azure SQL Database objects by using source control in GitHub. Every pull request submitted to production will be validated before it can be merged.
Deployments must use the Release configuration.
Security Requirements
Fabrikam identifies the following security requirements:
* The TransactionProcessing application must use a passwordless connection to DB1.
* The Employees table contains two columns named TaxID and Salary that must be encrypted at rest.
* Auditors must have a tamper-evident history of transactions with cryptographic proof of changes to the employee data.
Database Performance Requirements
Records accessed by using sp_UpdateProcedureForPatient must NOT be changed by other transactions while the stored procedure runs.
AI Search, Embeddings, and Vector Indexing
Fabrikam identifies the following AI-related requirements:
* Queries to the ProcedureDocuments table must use Reciprocal Rank Fusion (RRF).
* Users must be able to query the data in DB1 by using prompts in Copilot in Microsoft Fabric.
* The UsefulPrompts table will store prompts that doctors can use to help diagnose patient illness by connecting to an Azure OpenAI endpoint.
Development Requirements
Fabrikam identifies the following development requirements:
* Provide the functionality to retrieve all the transactions of a given patient between two dates, showing a running total.
* Expose a Data API builder (DAB) configuration file to enable Azure services to perform the following operations over a REST API:
- Read data from the procedures table without authentication.
- Read and insert data into the Transactions table once authenticated.
- Execute the sp_UpdateProcedurePatient stored procedure.
* Provide the functionality to retrieve a list of the names of patients who underwent medical procedures during the last 30 days.
* Information for each medical procedure will be stored in a table. The table will be used with a large language model (LLM) for user querying and will have the following structure.
DAB
You create a DAB configuration file that meets the development requirements for DB1 and includes the following entities.
You need to use the UsefulPrompts table as defined in the AI requirements. Which stored procedure should you use?
Answer: D
Explanation:
Scenario:
The UsefulPrompts table will store prompts that doctors can use to help diagnose patient illness by connecting to an Azure OpenAI endpoint.
The system stored procedure sp_invoke_external_rest_endpoint is used to connect an Azure SQL Database to an Azure OpenAI endpoint.This procedure allows you to call HTTPS REST endpoints directly from your database, enabling the integration of generative AI or embedding models into your SQL workflows without an intermediate application layer.
Reference:
https://blog.fabric.microsoft.com/en-gb/blog/ai-ready-apps-from-rag-to-chat-interacting-with-sql- database-in-microsoft-fabric-using-graphql-and-mcp
NEW QUESTION # 64
Hotspot Question
You have an Azure SQL database that contains a table named stores. stores contains a column named description and a vector column named embedding.
You need to implement a hybrid search query that meets the following requirements:
- Uses full-text search on description for the keyword portion
- Returns the top 20 results based on a combined score that uses a
weighted formula of 60% vector distance and 40% full-text rank
How should you configure the query components? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 65
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