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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Secure, monitor, and optimize AI solutions | 20% | - Manage security and configuration
|
| Topic 2: Develop AI solutions using Azure data services | 30% | - Design and optimize data access and retrieval
|
| Topic 3: Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
| Topic 4: Integrate backend services and build event-driven architectures | 25% | - Build serverless APIs and workflows
|
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NEW QUESTION # 15
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 # 16
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. You deploy a new revision of the processing orders app.
Processing orders must be triggered by a web request and must always be available based on incoming web requests.
You need to validate that the replica is ready to handle incoming requests.
What should you implement?
Answer: B
Explanation:
Detailed Explanation: A readiness probe answers whether a running replica is currently ready to receive traffic. For a web-triggered order-processing service, an HTTP readiness probe can test the application endpoint and keep the replica out of the routing pool until it is able to handle requests. Liveness probes detect whether the process should be restarted, and startup probes protect slow-starting containers during initialization. A TCP readiness probe can test socket acceptance, but the HTTP readiness probe is the more application-aware choice for the HTTP service described.
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 | Health probes in Azure Container Apps
NEW QUESTION # 17
Hotspot Question
You are developing several microservices to run on Azure Container Apps.
You need to monitor and diagnose the microservices.
Which features should you use? To answer, select the appropriate feature in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Log streaming
To view console logs from an Azure Container App in near real-time, you should use the Log stream feature.
How to Access Log Stream
Navigate to your container app in the Azure portal.
Under the Monitoring section of the sidebar menu, select Log stream.
Set the log type to Console to instantly stream your application's stdout and stderr streams.
Box 2: Container console
To debug your microservice from inside the container, you should use the Container console feature.
Key Features for Debugging and Monitoring
Container console: This feature allows you to connect directly to the Linux console/shell inside your running container instance. You can use it to execute commands, inspect files, and troubleshoot the container's environment in real-time.
Log stream: This tool is used alongside the console to view streaming system and console logs from your container in near real-time.
Azure Monitor Logs: Used for querying and analyzing historical application and system logs over longer periods.
Reference:
https://learn.microsoft.com/en-us/azure/container-apps/observability
NEW QUESTION # 18
You deploy a new revision of an app in ACA.
You need to gradually shift production traffic to the revision while monitoring performance. In addition, you need to be able to quickly roll back.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,B
Explanation:
To gradually shift traffic and enable fast rollbacks in Azure Container Apps, switch the app to multiple-revision mode and configure percentage-based traffic splitting weights between the active revisions.
Reference:
https://learn.microsoft.com/en-us/azure/container-apps/traffic-splitting
NEW QUESTION # 19
You are designing a solution that will use two Azure Functions apps: App1 and App2. App1 is Windows based and will be deployed as code. App2 is Linux based and will be deployed as a container image.
Estimates show that the duration of the request processing for both apps will range from 1 to 10 minutes.
You plan to implement App1 and App2 by using the hosting plan to satisfy the following requirements:
* Request processing can complete within the estimated time range.
* The autoscaling behavior is event driven.
* The upper scaling limit is maximized.
You need to create the hosting plan for the implementation.
Which hosting plan should you create? To answer, move the appropriate hosting plans to the correct apps.
You may use each hosting plan once, more than once, or not at all. You may..
Answer:
Explanation:
Explanation:
pp1: Consumption. App2: Premium.
Detailed Explanation: For App1, the Windows code-based Consumption plan satisfies event-driven autoscaling, allows execution up to the stated ten-minute range, and has the highest scaling ceiling among the listed event-driven choices for this workload. App2 is deployed as a Linux container image; among Premium, Dedicated, and Consumption, Premium is the event-driven plan that supports Linux containerized Functions and permits long-running execution. Dedicated hosting is not the requested event-driven autoscale model. The original Premium/Premium answer therefore did not maximize App1's upper scaling limit.
Study Guide Alignment: Azure service integration: Service Bus, Event Grid, Azure Functions triggers
/bindings, and event-driven processing.
Official Microsoft Learn References: AI-200 Study Guide | Azure Functions scale and hosting
NEW QUESTION # 20
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