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| Section | Weight | Objectives |
|---|---|---|
| Develop AI solutions using Azure data services | 30% | - Implement vector-enabled databases
|
| Develop containerized AI solutions on Azure | 25% | - Monitor and troubleshoot containerized workloads
|
| Secure, monitor, and optimize AI solutions | 20% | - Implement observability and reliability
|
| Integrate backend services and build event-driven architectures | 25% | - Implement messaging and event systems
|
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NEW QUESTION # 103
You develop a message-processing service deployed to Azure Container Apps. The service reads messages from an Azure Service Bus queue.
The solution must minimize costs by ensuring NO compute resources are consumed when the queue is empty.
You need to configure scaling for the service.
Which two actions should you perform? Each correct answer presents part of the solution. Choose two NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
Detailed Explanation: Azure Container Apps uses KEDA-based scale rules for event-driven workloads. A Service Bus scaler can monitor queue depth and create replicas only when messages are pending. To meet the explicit cost requirement, the scale configuration must permit a minimum replica count of zero so all active replicas can terminate when the queue is empty. Increasing the maximum replica count changes peak capacity, and HTTP ingress concurrency is not the correct scaling signal for a background Service Bus consumer.
Study Guide Alignment: Containerized Azure workloads: registry builds, App Service containers, Container Apps revision/scaling behavior, and AKS deployment choices.
Official Microsoft Learn References: AI-200 Study Guide | Set scaling rules in Azure Container Apps
NEW QUESTION # 104
A Python API retrieves a document from Azure Database for PostgreSQL by using a SQL statement. The API accepts the document ID from user input. The current implementation inserts the document ID directly into the SQL statement.
You need to secure the SQL statement execution by using a parameterized query. You must minimize the possibility of SQL injection.
How should you update the implementation to execute the SQL statement safely? To answer, move the appropriate configurations to the correct requirements. You may use each configuration once, more than once, or not at all. you may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Verified answer: Modify SQL: use a parameterized query. Bind input: pass the ID as an argument. Execute:
supply the parameter tuple to the SDK/driver method.
Detailed Explanation: The security boundary is created by separating SQL syntax from user-supplied values.
The statement should contain a parameter placeholder rather than concatenated input, and the document ID should be supplied separately through the database driver's parameter mechanism. The driver then performs the correct protocol-level binding and escaping. Manually escaping quotation marks is error-prone and does not provide the same injection resistance as true parameterization.
Study Guide Alignment: AI data-management workloads: Cosmos DB, PostgreSQL, caching, vector storage, vector retrieval, consistency, and connection optimization.
Official Microsoft Learn References: AI-200 Study Guide | Vector similarity search with Azure PostgreSQL
NEW QUESTION # 105
You need to give an Azure OpenAI-based agent the ability to call a company's internal REST API to check order status during a conversation. What should you implement?
Answer: B
Explanation:
Function calling lets you describe available functions/tools with a JSON schema; the model decides when to invoke them and with what arguments, and your application executes the actual API call and returns results to the model.
NEW QUESTION # 106
Hotspot Question
You have an Azure Functions app using the Consumption hosting plan for a company. The app contains the following functions:
You plan to enable dynamic concurrency on the app. The company requires that each function has its concurrency level managed separately.
You need to configure the app for dynamic concurrency.
Which file or function names should you use? To answer, select the appropriate values in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: host.json
To configure dynamic concurrency for the app, use the host.json configuration file.
host.json: Global metadata file where you enable the app-level dynamic concurrency setting ("dynamicConcurrencyEnabled": true) under the appropriate extension/extension lock configuration.
Box 2: f3
Apply the host.json file to the Azure Queue trigger function (f3), as dynamic concurrency is natively supported and managed per extension for runtime-driven storage and queue triggers rather than HTTP or timer triggers.
Azure Queue trigger function: Dynamic concurrency in Azure Functions specifically targets runtime-driven background bindings like Azure Queue, Blob, and Service Bus storage triggers, allowing individual management and automatic adjustments of processing limits per function.
Reference:
https://learn.microsoft.com/en-us/azure/azure-functions/functions-concurrency
NEW QUESTION # 107
You are developing a microservices-based application that uses Azure Container Apps. The application consists of several containerized services that handle tasks, such as processing orders, managing inventory, and generating reports.
Report generation must be implemented as follows:
Process reports every Sunday at midnight.
Minimize app resources during report generation.
Record metrics in the same location as other containers.
Use the same virtual network as other containers.
Answer:
Explanation:
Explanation:
NEW QUESTION # 108
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